bluuebunny/crossref_metadata_2025 huggingface dataset:
My Bad! Repairing Intelligent Voice Assistant Errors Improves Interaction
Authors: Cuadra Andrea , Li Shuran , Lee Hansol , Cho Jason , Ju Wendy
Published: April 2021

One key technique people use in conversation and collaboration is conversational repair. Self-repair is the recognition and attempted correction of one's own mistakes. We investigate how the self-repair of errors by intelligent voice assistants affects user interaction. In a controlled human-participant study (N =101), participants asked Amazon Alexa to perform four tasks, and we manipulated whether Alexa would "make a mistake'' understanding the participant (for example, playing heavy metal in response to a request for relaxing music) and whether Alexa would perform a correction (for example, stating, "You don't seem pleased. Did I get that wrong?'') We measured the impact of self-repair on the participant's perception of the interaction in four conditions: correction (mistakes made and repair performed), undercorrection (mistakes made, no repair performed), overcorrection (no mistakes made, but repair performed), and control (no mistakes made, and no repair performed). Subsequently, we conducted free-response interviews with each participant about their interactions. This study finds that self-repair greatly improves people's assessment of an intelligent voice assistant if a mistake has been made, but can degrade assessment if no correction is needed. However, we find that the positive impact of self-repair in the wake of an error outweighs the negative impact of overcorrection. In addition, participants who recently experienced an error saw increased value in self-repair as a feature, regardless of whether they experienced a repair themselves.
The Effects of User Comments on Science News Engagement
Authors: Williams Spencer , Hsieh Gary
Published: April 2021

Online sources such as social media have become increasingly important for the proliferation of science news, and past research has shown that reading user-generated comments after an article (i.e. in typical online news and blog formats) can impact the way people perceive the article. However, recent studies have shown that people are likely to read the comments before the article itself, due to the affordances of platforms like Reddit which display them up-front. This leads to questions about how comments can affect people's expectations about an article, and how those expectations impact their interest in reading it at all. This paper presents two experimental studies to better understand how the presentation of comments on Reddit affects people's engagement with science news, testing potential mediators such as the expected difficulty and quality of the article. Study 1 provides experimental evidence that difficult comments can reduce people's interest in reading an associated article. Study 2 is a pre-registered follow-up that uncovers a similarity heuristic; the various qualities of a comment (difficulty, information quality, entertainment value) signal that the article will be of similar quality, ultimately affecting participants' interest in reading it. We conclude by discussing design implications for online science news communities.
Understanding Wikipedia Practices Through Hindi, Urdu, and English Takes on an Evolving Regional Conflict
Authors: Hickman Molly G. , Pasad Viral , Sanghavi Harsh Kamalesh , Thebault-Spieker Jacob , Lee Sang Won
Published: April 2021

Wikipedia is the product of thousands of editors working collaboratively to provide free and up-to-date encyclopedic information to the project's users. This article asks to what degree Wikipedia articles in three languages - Hindi, Urdu, and English - achieve Wikipedia's mission of making neutrally-presented, reliable information on a polarizing, controversial topic available to people around the globe. We chose the topic of the recent revocation of Article 370 of the Constitution of India, which, along with other recent events in and concerning the region of Jammu and Kashmir, has drawn attention to related articles on Wikipedia. This work focuses on the English Wikipedia, being the preeminent language edition of the project, as well as the Hindi and Urdu editions. Hindi and Urdu are the two standardized varieties of Hindustani, a lingua franca of Jammu and Kashmir. We analyzed page view and revision data for three Wikipedia articles to gauge popularity of the pages in our corpus, and responsiveness of editors to breaking news events and problematic edits. Additionally, we interviewed editors from all three language editions to learn about differences in editing processes and motivations, and we compared the text of the articles across languages as they appeared shortly after the revocation of Article 370. Across languages, we saw discrepancies in article tone, organization, and the information presented, as well as differences in how editors collaborate and communicate with one another. Nevertheless, in Hindi and Urdu, as well as English, editors predominantly try to adhere to the principle of neutral point of view (NPOV), and for the most part, the editors quash attempts by other editors to push political agendas.
Evaluating MIDST, A System to Support Stigmergic Team Coordination
Authors: Crowston Kevin , Saltz Jeffery , Sitaula Niraj , Hegde Yatish
Published: April 2021

Data science teams working on a shared analysis face coordination problems such as dividing up the work to be done, monitoring performance and integrating the pieces. Research on distributed software development teams has raised the potential of stigmergic coordination, that is, coordination through a shared work product in place of explicit communication. The MIDST system was developed to support stigmergic coordination by making individual contributions to a shared work product visible, legible and combinable. In this paper, we present initial studies of a total of 40 student teams (24 using MIDST) that shows that teams that used MIDST did experience the intended system affordances to support their work, did seem to coordinate at least in part stigmergically and performed better on an assigned project.
Nowcasting Gentrification Using Airbnb Data
Authors: Jain Shomik , Proserpio Davide , Quattrone Giovanni , Quercia Daniele
Published: April 2021

There is a rumbling debate over the impact of gentrification: presumed gentrifiers have been the target of protests and attacks in some cities, while they have been welcome as generators of new jobs and taxes in others. Census data fails to measure neighborhood change in real-time since it is usually updated every ten years. This work shows that Airbnb data can be used to quantify and track neighborhood changes. Specifically, we consider both structured data (e.g., number of listings, number of reviews, listing information) and unstructured data (e.g., user-generated reviews processed with natural language processing and machine learning algorithms) for three major cities, New York City (US), Los Angeles (US), and Greater London (UK). We find that Airbnb data (especially its unstructured part) appears to nowcast neighborhood gentrification, measured as changes in housing affordability and demographics. Overall, our results suggest that user-generated data from online platforms can be used to create socioeconomic indices to complement traditional measures that are less granular, not in real-time, and more costly to obtain.
Safe Sexting
Authors: Hartikainen Heidi , Razi Afsaneh , Wisniewski Pamela
Published: April 2021

The internet facilitates opportunities for adolescents to form relationships and explore their sexuality but seeking intimacy online has also become a stressor. As a result, adolescents often turn to the internet to seek support concerning issues related to sex because of its accessibility, interactivity, and anonymity. We analyzed 3,050 peer comments and 1,451 replies from adolescents (837 posts) who sought advice and/or support about online sexual experiences involving known others. We found peers mostly provided information and emotional support. They gave advice on how to handle negative online sexual experiences and mitigate their long-term repercussions, often based on their own negative experiences. They provided emotional support by letting teens know that they were not alone and should not blame themselves. A key implication of these findings is that these situations seemingly occurred regularly and youth were converging on a subset of norms about how to handle such situations in a way that supported one another. Yet, in some cases, they also resorted to victim-blaming or retaliating against those who broke these norms of "safe" sexting. Teens were grateful for emotional support and advice that helped them engage safely but were defensive when peers were critical of their relationships. Together, our findings suggest that youth are self-organizing to converge on guidelines and norms around safe sexting but have trouble framing their messages so that they are more readily accepted. In our paper, we contribute to the adolescent online safety literature by identifying youth-focused beliefs about safe sexting by analyzing the ways in which online peers give advice and support. We provide actionable recommendations for facilitating the exchange of positive advice and support via online peer-support platforms.
What is Spiritual Support and How Might It Impact the Design of Online Communities?
Authors: Smith C. Estelle , Kaur Avleen , Gach Katie Z. , Terveen Loren , Kreitzer Mary Jo , O'Conner-Von Susan
Published: April 2021

Spirituality is an understudied topic in social computing; however, for Online Health Community (OHC) users facing life-threatening illness, it is of fundamental importance. Through in-depth focus groups with OHC stakeholders in a US context, we derive a definition of "spiritual support" for use by designers and researchers who study online social support. We show that spiritual support is an integral dimension that underlies other social support types, and that if we ignore spirituality in design, we fail to mitigate problematic issues that arise in online spaces when users' spiritual values clash. Based on participants' ideations, we provide design implications for OHCs and other social media to better facilitate spiritual support through: (1) representing spiritual beliefs, (2) assistance with supportive communication, (3) support network visualization and mobilization, and (4) advance care planning and digital legacy.
Dakter Bari
Authors: Rahman Md. Aminur , Rashed Rayhan , Purabi Sharmin Akther , Ulfat Noshin , Chellappan Sriram , Islam A. B. M. Alim Al
Published: April 2021

Bangladesh (a low-income country) has a significant number of people dependent on alms for daily survival. These people, who we address as extremely impoverished people (EIP) are deprived of even basic healthcare. Their extreme levels of poverty, coupled with low literacy skills, and complete lack of access to technology means that they are unaware of existing low-cost/free healthcare services (as arranged by local hospitals) available for EIPs. In this paper, we address this gap by means of a carefully-crafted solution, Dakter Bari (a term in Bengali that translates to "Doctor's Home'' in English), that is contextually tailored to enable healthcare access to impoverished people. Extracting critical insights from our field study with (N=70) EIPs, we create a pathway for availing lower-cost healthcare solutions using intermediaries for information dissemination. These intermediaries are small businesses that impoverished people visit often. We also conduct field studies with (N=71) intermediary partners and (N=10) hospitals to identify challenges and realities of such intermediary-based solutions. Based on our findings, we design, iteratively develop, deploy, and user-test our system in real cases and collect feedback from related stakeholders. Preliminary analysis on usage of our system (deployed at intermediaries) revealed 255 healthcare requests made by EIPs via our system in six months. We connect our finding to the broader interests of CSCW around contextualized intermediation, inclusive healthcare, and sustainability of deployed systems.
Contact Zones
Authors: Prost Sebastian , Pavlovskaya Irina , Meziant Kahina , Vlachokyriakos Vasilis , Crivellaro Clara
Published: April 2021

Our food system is a socio-material, heterogeneous infrastructure whose complexity and interconnectedness often remains invisible to citizens. While moments of crisis expose the vulnerabilities and injustices underlying this system, this paper seeks to explore which processes and tools CSCW could purposely design to 'open up' food infrastructures and bring young and adult people in contact with different aspects of the food system to cultivate food citizenship from a more-than-human perspective. Through a collaboration with a local primary school and four different food organisations (a mushroom grower, a vegetable farm, a bread-baking community centre, and a food bank) in North East England, UK, we designed 'contact zones' that enabled a class of students aged 7 to 8 years to encounter socio-material food practices at each partnering organisation's site and in the classroom. Our insights show young people's rich engagement in the socio-materiality of place, food, and practices; how encountering food practices across very different sites helped surface the interconnectedness of the food system; and how the contact zones opened spaces to practice food citizenship. The paper offers design implications towards infrastructuring more-than-human food pedagogies. It discusses inherent power dynamics of more-than-human design collaborations, critically evaluates the role of technology in more-than-human relations, and presents three design opportunities towards a relational understanding of food.
When Forcing Collaboration is the Most Sensible Choice
Authors: Cherubini Mauro , Salehzadeh Niksirat Kavous , Boldi Marc-Olivier , Keopraseuth Henri , Such Jose M. , Huguenin Kévin
Published: April 2021

Individuals share increasing amounts of personal multimedia data, exposing themselves (uploaders) as well as others (data subjects). Non-consensual sharing of multimedia data that depicts others raises so-called multiparty privacy conflicts (MPCs), which can have severe consequences. To limit the incidence of MPCs, a family of Precautionary mechanisms have recently been developed that force uploaders to collaborate with the other data subjects to prevent MPCs. However, there is still very little work on understanding how users perceive the precautionary mechanisms together with which ones they prefer and why. In addition, precautionary mechanisms have some limitations, e.g., they require linking content to the co-owners' identity. Therefore, we also explore alternatives to precautionary mechanisms and propose a new class of solutions-Dissuasive mechanisms-that aim at deterring the uploaders from sharing without consent. We then present a user-centric comparison of precautionary and dissuasive mechanisms, through a large-scale survey (N = 1792; a representative sample of adult Internet users). Our results showed that respondents prefer precautionary to dissuasive mechanisms. These enforce collaboration, provide more control to the data subjects, but also they reduce uploaders' uncertainty around what is considered appropriate for sharing. We learned that threatening legal consequences is the most desirable dissuasive mechanism, and that respondents prefer the mechanisms that threaten users with immediate consequences (compared with delayed consequences). Dissuasive mechanisms are in fact well received by frequent sharers and older users, while precautionary mechanisms are preferred by women and younger users. We discuss the implications for design, including considerations about side leakages, consent collection, and censorship.
StreamSketch
Authors: Lu Zhicong , Kazi Rubaiat Habib , Wei Li-yi , Dontcheva Mira , Karahalios Karrie
Published: April 2021

Creative live streams, where artists or designers demonstrate their creative process, have emerged as a unique and popular genre of live streams due to the real-time interactivity they afford. However, streamer-viewer interactions on most live streaming platforms only enable users to utilize text and emojis to communicate, which limits what viewers can convey and share in real time. To investigate the design space of potential visual and non-textual modalities within creative live streams, we first analyzed existing Twitch extensions and conducted a formative study with streamers who share creative activities to uncover key challenges that these streamers face. We then designed and implemented a prototype system, StreamSketch, which enables viewers and streamers to interact during live streams using multiple modalities, including freeform sketches and text. The prototype was evaluated by two professional artist streamers and their viewers during six streaming sessions. Overall, streamers and viewers found that StreamSketch provided increased engagement and new affordances compared to the traditional text-only modality, and highlighted how efficiency, moderation, and tool integration were continued challenges.
Prior and Prejudice
Authors: Stelmakh Ivan , Shah Nihar B. , Singh Aarti , Daumé Hal
Published: April 2021

Modern machine learning and computer science conferences are experiencing a surge in the number of submissions that challenges the quality of peer review as the number of competent reviewers is growing at a much slower rate. To curb this trend and reduce the burden on reviewers, several conferences have started encouraging or even requiring authors to declare the previous submission history of their papers. Such initiatives have been met with skepticism among authors, who raise the concern about a potential bias in reviewers' recommendations induced by this information. In this work, we investigate whether reviewers exhibit a bias caused by the knowledge that the submission under review was previously rejected at a similar venue, focusing on a population of novice reviewers who constitute a large fraction of the reviewer pool in leading machine learning and computer science conferences. We design and conduct a randomized controlled trial closely replicating the relevant components of the peer-review pipeline with $133$ reviewers (master's, junior PhD students, and recent graduates of top US universities) writing reviews for $19$ papers. The analysis reveals that reviewers indeed become negatively biased when they receive a signal about paper being a resubmission, giving almost 1 point lower overall score on a 10-point Likert item (Δ = -0.78, 95% CI = [-1.30, -0.24]) than reviewers who do not receive such a signal. Looking at specific criteria scores (originality, quality, clarity and significance), we observe that novice reviewers tend to underrate quality the most.
Learning to Ignore
Authors: Kong Ruoyan , Zhu Haiyi , Konstan Joseph A.
Published: April 2021

Bulk email is a primary communication channel within organizations, with all-company emails and regular newsletters serving as a mechanism for making employees aware of policies and events. Ineffective communication could result in wasted employee time and a lack of compliance or awareness. Previous studies on organizational emails focused mostly on recipients. However, organizational bulk email system is a multi-stakeholder problem including recipients, communicators, and the organization itself.

We studied the effectiveness, practice, and assessments of the organizational bulk email system of a large university from multi-stakeholders' perspectives. We conducted a qualitative study with the university's communicators, recipients, and managers. We delved into the organizational bulk email's distributing mechanisms of the communicators, the reading behaviors of recipients, and the perspectives on emails' values of communicators, managers, and recipients.

We found that the organizational bulk email system as a whole was strained, and communicators are caught in the middle of this multi-stakeholder problem. First, though the communicators had an interest in preserving the effectiveness of channels in reaching employees, they had high-level clients whose interests might outweigh judgment about whether a message deserves widespread circulation. Second, though communicators thought they were sending important information, recipients viewed most of the organizational bulk emails as not relevant to them. Third, this disagreement was amplified by the success metric used by communicators. They viewed their bulk emails as successful if they had a high open rate. But recipients often opened and then rapidly discarded emails without reading the details. Last, while the communicators in general understood the challenge, they had a limited set of targeting and feedback tools to support their task.
Tech-Art-Theory
Authors: Kang Laewoo , Jackson Steven
Published: April 2021

This paper explores the nature and potential of improvisation as a method for learning and teaching in CSCW and HCI. It starts by reviewing concepts of improvisational learning in classic and more recent work in educational theory, art and music, and HCI that emphasize the reconstructive, materially-driven, error-engaged, transgressive, and collaborative nature of human learning processes. It then describes three pedagogical interventions of our own in which improvisational techniques were deployed as methods of teaching and learning. From this integrated study, we report specific pedagogical conditions (socio-material evaluations, multi-sensory practices, and making safe spaces for error) that can support improvisational learning, and three common challenges of HCI pedagogy relevance, assessment, and inclusion that improvisational methods can help to address.
Self-tracking in Parkinson's The Lived Efforts of Self-management
Authors: Vafeiadou Jenny , Vasalou Asimina , Roussos George
Published: April 2021

People living with Parkinson's disease engage in self-tracking as part of their health self-management. Whilst health technologies designed for this group have primarily focused on improving the clinical assessments of the disease, less attention has been given to how people with Parkinson's use technology to track and manage their disease in their everyday experience. We report on a qualitative study in which we systematically analysed posts from an online health community (OHC) comprising people with Parkinson's (PwP). Our findings show that PwP track a diversity of information and use a wide range of digital and non-digital tools, informed by temporal and structured practices. Using an existing framework of sensemaking for chronic disease self-management, we also identify new ways in which PwP engage in sensemaking, alongside a set of new challenges that are particular to the character of this chronic disease. We relate our findings to technologies for self-tracking offering design implications.
Errors in Geotargeted Display Advertising
Authors: Bandy Jack , Hecht Brent
Published: April 2021

The rise of geotargeted online advertising has disrupted the business model of local journalism, but it remains ambiguous whether online advertising platforms can effectively reach local audiences. To address this ambiguity, we present a focused study auditing the positional accuracy of geotargeted display advertisements on Google. We measure the frequency and severity of geotargeting errors by targeting display ads to random ZIP codes across the United States, collecting self-reported location information from users who click on the advertisement. We find evidence that geotargeting errors are common, but minor in terms of advertising goals. While 41% of respondents lived outside the target ZIP code, only 11% lived outside the target county, and only 2% lived outside the target state. We also present details regarding a high volume of suspicious clicks in our data, which made the cost per sample extremely expensive. The paper concludes by discussing implications for advertisers, the business of local journalism, and future research.
Exploring Feelings of Student Community across a Geographically Distributed University
Authors: Gautam Sanjana , Rosson Mary Beth
Published: April 2021

Options for students to learn and connect with each other have diversified in recent years, with online resources and campuses playing an increasing role. Flexibility and comfort are becoming a priority as students choose when, where and how to pursue learning goals. Nonetheless, students want to feel sense of community with their peers and instructors; institutional bonds are in turn associated with enhanced learning. In this paper, we explore the feelings of community among students studying at a geographically distributed university. We seek to understand how the students understand community, the levels of community they feel and how their campus location may affect these feelings. In this paper, we present findings from both a survey and an interview study and consider the implications for tools that might promote community.
Automated vs. Human Health Coaching
Authors: Mitchell Elliot G. , Maimone Rosa , Cassells Andrea , Tobin Jonathan N. , Davidson Patricia , Smaldone Arlene M. , Mamykina Lena
Published: April 2021

Health coaching can be an effective intervention to support self-management of chronic conditions like diabetes, but there are not enough coaching practitioners to reach the growing population in need of support. Conversational technology, like chatbots, presents an opportunity to extend health coaching support to broader and more diverse populations. However, some have suggested that the human element is essential to health coaching and cannot be replicated with technology. In this research, we examine automated health coaching using a theory-grounded, wizard-of-oz chatbot, in comparison with text-based virtual coaching from human practitioners who start with the same protocol as the chatbot but have the freedom to embellish and adjust as needed. We found that even a scripted chatbot can create a coach-like experience for participants. While human coaches displayed advantages expressing empathy and using probing questions to tailor their support, they also encountered tremendous barriers and frustrations adapting to text-based virtual coaching. The chatbot coach had advantages in being persistent, as well as more consistently giving choices and options to foster client autonomy. We discuss implications for the design of virtual health coaching interventions.
Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?
Authors: Vincent Nicholas , Hecht Brent
Published: April 2021

Tech users currently have limited ability to act on concerns regarding the negative societal impacts of large tech companies. However, recent work suggests that users can exert leverage using their role in the generation of valuable data, for instance by withholding their data contributions to intelligent technologies. We propose and evaluate a new means to exert this type of leverage against tech companies: "conscious data contribution" (CDC). Users who participate in CDC exert leverage against a target tech company by contributing data to technologies operated by a competitor of that company. Using simulations, we find that CDC could be highly effective at reducing the gap in intelligent technologies performance between an incumbent and their competitors. In some cases, just 20% of users contributing data they have produced to a small competitor could help that competitor get 80% of the way towards the original company's best-case performance. We discuss the implications of CDC for policymakers, tech designers, and researchers.
Jarvis in Motion
Authors: Cheon EunJeong , Han Shenshen , Su Norman Makoto
Published: April 2021

We report on a research through design study of how our everyday objects, augmented with technologies, could contribute to disseminating people's lifestyle values in public. We developed Jarvis, a hybrid object combining a glass jar with a location-tracking system. The Jarvis endeavors to make lifestyle values visible, while sometimes hiding its values across different places. As a design research artifact, the Jarvis seeks to spark meaningful interactions as zero-waste practitioners carry it around in their daily routines in public. The data visualized through the Jarvis demonstrate how users' values are spread out locally. 18 zero-waste followers participated in a week-long deployment with a design probe followed by post-deployment interviews. Our findings highlight the role of different agencies in circulating values represented by the Jarvis. We discuss our methodological insights on hybrid objects, and how the circulation of values may inform us about the alternative roles of technologies in speaking for our lifestyle values.
Conceptualising Contestability
Authors: Lyons Henrietta , Velloso Eduardo , Miller Tim
Published: April 2021

As the use of algorithmic systems in high-stakes decision-making increases, the ability to contest algorithmic decisions is being recognised as an important safeguard for individuals. Yet, there is little guidance on what 'contestability'--the ability to contest decisions--in relation to algorithmic decision-making requires. Recent research presents different conceptualisations of contestability in algorithmic decision-making. We contribute to this growing body of work by describing and analysing the perspectives of people and organisations who made submissions in response to Australia's proposed 'AI Ethics Framework', the first framework of its kind to include 'contestability' as a core ethical principle. Our findings reveal that while the nature of contestability is disputed, it is seen as a way to protect individuals, and it resembles contestability in relation to human decision-making. We reflect on and discuss the implications of these findings.
Challenges in the Parent-Child Communication of Health-related Information in Pediatric Cancer Care
Authors: Seo Woosuk , Buyuktur Ayse G. , Choi Sung Won , Sedig Laura , Park Sun Young
Published: April 2021

Previous works have shown that effective communication between parental caregivers and child patients has many benefits to the children, such as providing emotional support and coping skills for health management. Drawing on semi-structured interviews, we have identified the challenges parental caregivers face when communicating with their children about health-related information in daily illness management. Three salient challenges that the parental caregivers encountered include: (i) acknowledging different perceptions and approaches to being a cancer patient, (ii) choosing an appropriate communication method, and (iii) understanding their child's uncommunicated emotions. Based on these challenges, we recognize distinctive, yet implicit, needs that children develop during the illness trajectory, affecting the parent-child dyadic relationship. We discuss design opportunities for a collaborative system that enhances the parent-child dyadic communication by supporting the child's implicit and dynamically changing needs throughout the illness trajectory and beyond.
Parsing the 'Me' in #MeToo
Authors: Moitra Aparna , Ahmed Syed Ishtiaque , Chandra Priyank
Published: April 2021

India's #MeToo movement began in late-2018, and was largely a platform for some privileged women sharing their accounts of sexual harassment. Beyond issues of access to digital technology, our paper investigates why various sections of India's female and LGBTQ+ population chose not to engage with the #MeToo movement. Focusing on experiences with sexual harassment, we conducted 44 qualitative interviews with middle-class working women, feminist and queer activists, academics, and other stakeholders working against gender-based violence, to understand their perspectives on #MeToo. Our paper explores why some survivors bypass the legal infrastructure to speak out against sexual harassment using #MeToo, while others choose not to participate despite having access to social media platforms. Using the lens of infrastructure, we outline the imbrication of social media movements with existing social norms and legal infrastructures. Further, we highlight how infrastructural politics are connected to patriarchy, colonialism, caste, class, and gender struggles.
A Multi-platform Study of Crowd Signals Associated with Successful Online Fundraising
Authors: Dambanemuya Henry K. , Horvát Emőke-Ágnes
Published: April 2021

The growing popularity of online fundraising (aka "crowdfunding") has attracted significant research on the subject. In contrast to previous studies that attempt to predict the success of crowdfunded projects based on specific characteristics of the projects and their creators, we present a more general approach that focuses on crowd dynamics and is robust to the particularities of different crowdfunding platforms. We rely on a multi-method analysis to investigate the correlates, predictive importance, and quasi-causal effects of features that describe crowd dynamics in determining the success of crowdfunded projects. By applying a multi-method analysis to a study of fundraising in three different online markets, we uncover universal crowd dynamics that ultimately decide which projects will succeed. In all analyses and across three markets, we consistently find that funders' behavioural signals (1) are significantly correlated with fundraising success; (2) approximate fundraising outcomes better than the characteristics of projects and their creators such as credit grade, company valuation, and subject domain; and (3) have significant quasi-causal effects on fundraising outcomes while controlling for potentially confounding project variables. By showing that universal features deduced from crowd behaviour are predictive of fundraising success on different crowdfunding platforms, our work provides design-relevant insights about novel types of collective decision-making online. This research inspires thus potential ways to leverage cues from the crowd and catalyses research into crowd-aware system design.
Personalization Paradox in Behavior Change Apps
Authors: Zhu Jichen , Dallal Diane H. , Gray Robert C. , Villareale Jennifer , Ontañón Santiago , Forman Evan M. , Arigo Danielle
Published: April 2021

Social comparison-based features are widely used in social computing apps. However, most existing apps are not grounded in social comparison theories and do not consider individual differences in social comparison preferences and reactions. This paper is among the first to automatically personalize social comparison targets. In the context of an m-health app for physical activity, we use artificial intelligence (AI) techniques of multi-armed bandits. Results from our user study (n=53) indicate that there is some evidence that motivation can be increased using the AI-based personalization of social comparison. The detected effects achieved small-to-moderate effect sizes, illustrating the real-world implications of the intervention for enhancing motivation and physical activity. In addition to design implications for social comparison features in social apps, this paper identified the personalization paradox, the conflict between user modeling and adaptation, as a key design challenge of personalized applications for behavior change. Additionally, we propose research directions to mitigate this Personalization Paradox.
Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a Chatbot
Authors: Lee Yi-Chieh , Yamashita Naomi , Huang Yun
Published: April 2021

Chatbots are regarded as a promising technology for delivering guidance. Prior studies show that chatbots have the potential of coaching users to learn different skills; however, several limitations of chatbot-based approaches remain. People may become disengaged from using chatbot-guided systems and fail to follow the guidance for complex tasks. In this paper, we design chatbots with (HC) and without (OC) human support to deliver guidance for people to practice journaling skills. We conducted a mixed-method study with 35 participants to investigate their actual interaction, perceived interaction, and the effects of interacting with the two chatbots. The participants were randomly assigned to use one of the chatbots for four weeks. Our results show that the HC participants followed the guidance more faithfully during journaling practices and perceived a significantly higher level of engagement and trust with the chatbot system than the OC participants. However, after finishing the journaling-skill training session, the OC participants were more willing to keep using the learned skills than the HC participants. Our work provides new insights into the design of integrating human support into chatbot-based interventions for delivering guidance.
Working Together in a PhamilySpace
Authors: Sandbulte Jomara , Tsai Chun-Hua , Carroll John M.
Published: April 2021

Studies have shown that interpersonal relationships such as families and friends are an important source of support and encouragement to those who seek to engage in healthier habits. However, challenges related to geographic distance may hinder those relationships from fully collaborating and engaging in healthy living together. To explore this domain, we developed and deployed a lightweight photo-based application called PhamilySpace with a week-long intervention. Our goal is to examine family members' and friends' engagement and awareness on healthy behaviors while living apart. Our analysis of the semi-structured interviews, pre/post-intervention instruments, and application logs suggests three main benefits of interventions for health promotion in this context: (1) increased awareness on acts of health; (2) reciprocal sharing of health information supports social accountability over distance; and (3) positive dialogue around health enhances support on healthy living. By providing insights into distributed family/friends interactions and experiences with the application, we identify benefits, challenges, and opportunities for future design interventions that promote healthy behaviors.
Caring and Commoning as Cooperative Work
Authors: Sciannamblo Mariacristina , Cohn Marisa Leavitt , Lyle Peter , Teli Maurizio
Published: April 2021

This paper offers the related concepts of 'caring' and 'commoning', borrowed from feminist technoscience and feminist political economy, as both values for design and analytical lenses to scrutinize computer-cooperative infrastructures for activist interventions. The paper draws on the empirical work conducted in a European participatory design project confronting risks of social exclusion that result from precarious labor conditions increasingly affecting the European populations. We discuss how the combined concepts of caring and commoning present alternatives to capitalist accumulation, supporting activist and emancipatory aims by shedding light on dimensions related to work, affects, and politics.
Understanding Accessibility and Collaboration in Programming for People with Visual Impairments
Authors: Pandey Maulishree , Kameswaran Vaishnav , Rao Hrishikesh V. , O'Modhrain Sile , Oney Steve
Published: April 2021

There has been a growing interest in Computer-Supported Cooperative Work and Human-Computer Interaction to understand the experiences of programmers in the workplace. However, the large majority of these studies has focused on sighted programmers and, as a result, the experiences of programmers with visual impairments in professional contexts remain understudied. We address this gap by reporting on findings from semi-structured interviews with 22 programmers with visual impairments. We found that programmers with visual impairments interact with a complex ecosystem of tools and a significant part of their job entails performing work to overcome the accessibility challenges inherent in this ecosystem. Furthermore, we find that the visual nature of various programming activities impedes collaboration, which necessitates the co-creation of new work practices through a series of sociotechnical interactions. These sociotechnical interactions often require invisible work and articulation work on the part of the programmers with visual impairments.
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team
Authors: Piorkowski David , Park Soya , Wang April Yi , Wang Dakuo , Muller Michael , Portnoy Felix
Published: April 2021

The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists and other AI-adjacent roles on the same team. During these collaborations, there is a knowledge mismatch between AI developers, who are skilled in data science, and external stakeholders who are typically not. This difference leads to communication gaps, and the onus falls on AI developers to explain data science concepts to their collaborators. In this paper, we report on a study including analyses of both interviews with AI developers and artifacts they produced for communication. Using the analytic lens of shared mental models, we report on the types of communication gaps that AI developers face, how AI developers communicate across disciplinary and organizational boundaries, and how they simultaneously manage issues regarding trust and expectations.
Learners Learn More and Instructors Track Better with Real-time Gaze Sharing
Authors: Sung Gahyun , Feng Tianyi , Schneider Bertrand
Published: April 2021

Shared gaze visualizations, where the real-time gaze location of group members is shared with one another, have become increasingly studied over the last decade by HCI researchers. Shared gaze studies so far have found improved outcomes and better collaboration for peer collaborators. Less is known, however, about how gaze sharing may aid learners and instructors. In our study, an instructor teaches a learner how to assemble and program a simple microcontroller, communicating either through a webcam feed (webcam condition), a field-of-view video feed (HMC condition), or a field-of-view video feed with a gaze location pointer (gaze condition). We find that learning gain is highest in the gaze condition, especially for low achievers. Moreover, instructors predict learner post-test scores more accurately with gaze visualizations, suggesting gaze sharing can help instructors track the cognitive state of the learner. This effect was also most salient for low achievers. We find that in the HMC condition that only lacked this single dot, many of the benefits for both learning and teaching were lost. The paper concludes with discussions on how gaze visualization may support learning and teaching, and on the tool's limitations and conditions for usefulness.
Surgical Video Summarization
Authors: Avellino Ignacio , Nozari Sheida , Canlorbe Geoffroy , Jansen Yvonne
Published: April 2021

While surgical videos are valuable support material for activities around surgery, their summarization demands great amounts of time from surgeons, resulting in the production of very few videos. We study the practices involving surgical video to motivate and inform the future design of tools for their summarization. Through interviews and observations in a field study, we find that (1) video summaries provide an important support for surgery, being used for self-improvement, education, discussing cases, scientific research, patient communication and as legal resources; (2) video summarization follows a process hindered by the loss of knowledge that originates during recording; and, (3) surgeons develop ad-hoc coordination strategies which involve using the video itself for articulation work, making it both the field of work and coordination artifact. We discuss ways in which tools can facilitate capturing knowledge during live action using these strategies.
Anonymity, User Engagement, Quality, and Trolling on Q&A Sites
Authors: Guo Cheng , Caine Kelly
Published: April 2021

In online question and answer (Q&A) communities, people ask questions and share answers at all levels of topic sensitivity. Identity options within these communities range from anonymity to real name. The amount of engagement, and the quality of engagement on Q&A sites may differ depending on the identity options available. In this paper, we investigate the relationship between the amount of engagement, the quality of engagement, and different types of identity by analyzing three Q&A sites with different identity policies. We find that highly sensitive questions are more likely to be asked anonymously. Furthermore, allowing anonymity does not affect answer quality and only has a weak, negative indirect effect on engagement. On the other hand, anonymity leads to more trolling. We suggest online communities provide a way for users to ask highly sensitive questions anonymously and pair this with moderation mechanisms to reduce trolling
Adjacent Display of Relevant Discussion Helps Resolve Confusion
Authors: Yarmand Matin , Palani Srishti , Klemmer Scott
Published: April 2021

Discussion fora of instructional videos contain previously-discussed questions and answers. These video comments can resolve many points of confusion for learners. However, finding relevant content in a separated discussion forum is challenging and disruptive to learning flow. This paper introduces Adjacent Display of Relevant Discussion (ADRD): it displays threaded comments in a panel adjacent to the video and dynamically updates the content of the panel based on the time of the video. In a between-subjects lab study (n=20), ADRD helped participants resolve confusion points, skim and read comments, and encouraged video interaction.
Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift Work
Authors: Uhde Alarith , Laschke Matthias , Hassenzahl Marc
Published: April 2021

Shift scheduling impacts healthcare workers' well-being because it sets the frame for their social life and recreational activities. Since it is complex and time-consuming, it has become a target for automation. However, existing systems mostly focus on improving efficiency. The workers' needs and their active participation do not play a pronounced role. Contrasting this trend, we designed a social practice-based, worker-centered, and well-being-oriented self-scheduling system which gives healthcare workers more control during shift planning. In a following nine month appropriation study, we found that workers who were cautious about their social standing in the group or who had a more spontaneous personal lifestyle used our system less often than others. Moreover, we revealed several conflict prevention practices and suggest to shift the focus away from a competitive shift distribution paradigm towards supporting these pro-social practices. We conclude with guidelines to support individual planning practices, self-leadership, and for dealing with conflicts.
Characterizing the Online Learning Landscape
Authors: Kross Sean , Hargittai Eszter , Redmiles Elissa M.
Published: April 2021

Hundreds of millions of people learn something new online every day. Simultaneously, the study of online education has blossomed within the human computer interaction community, with new systems, experiments, and observations creating and exploring previously undiscovered online learning environments. In this study we endeavor to characterize this entire landscape of online learning experiences using a national survey of 2260 US adults who are balanced to match the demographics of the U.S. We examine the online learning resources that they consult, and we analyze the subjects that they pursue using those resources. Furthermore, we compare both formal and informal online learning experiences on a larger scale than has ever been done before, to our knowledge, to better understand which subjects people are seeking for intensive study. We find that there is a core set of online learning experiences that are central to other experiences and these are shared among the majority of people who learn online. We conclude by showing how looking outside of these core online learning experiences can reveal opportunities for innovation in online education.