huashen218/convxai-cia-dataset huggingface dataset:
Title: GAN’SDA Wrap: Geographic And Network Structured DAta on surfaces that Wrap around
Authors: family: Chen
given: Kun-Ting; family: Dwyer
given: Tim; family: Yang
given: Yalong; family: Bach
given: Benjamin; family: Marriott
given: Kim
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Geographic visualization, Graph visualization, Map projection, Crowdsourced study.

Abstract: There are many methods for projecting spherical maps onto the plane. Interactive versions of these projections allow the user to centre the region of interest. However, the effects of such interaction have not previously been evaluated. In a study with 120 participants we find interaction provides significantly more accurate area, direction and distance estimation in such projections. The surface of 3D sphere and torus topologies provides a continuous surface for uninterrupted network layout. But how best to project spherical network layouts to 2D screens has not been studied, nor have such spherical network projections been compared to torus projections. Using the most successful interactive sphere projections from our first study, we compare spherical, standard and toroidal layouts of networks for cluster and path following tasks with 96 participants, finding benefits for both spherical and toroidal layouts over standard network layouts in terms of accuracy for cluster understanding tasks.
Title: Understanding Visual Investigation Patterns Through Digital “Field” Observations
Authors: family: Rae
given: Irene; family: Zhou
given: Feng; family: Bilsing
given: Martin; family: Bunge
given: Philipp
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: information visualization, interaction, interaction techniques, visual interaction, visual analytics

Abstract: An extensive body of work in visual analytics has examined how users conduct analyses in scientific and academic settings, identifying and categorizing user goals and the actions they undertake to achieve them. However, most of this work has studied the analysis process in simulated or isolated environments, leading to a gap in connecting these findings to large-scale business (enterprise) contexts, where visual analysis is most needed to make sense of the large amounts of data being generated. In this work, we conducted digital ”field” observations to understand how users conduct visual analyses in an enterprise setting, where they operate within a large ecosystem of systems and people. From these observations, we identified four common objectives, six recurring visual investigation patterns, and five emergent themes. We also performed a quantitative analysis of logs over 2530 user sessions from a second visual analysis product to validate that our patterns were not product-specific.
Title: Investigating Perceptual Biases in Icon Arrays
Authors: family: Xiong
given: Cindy; family: Sarvghad
given: Ali; family: Goldstein
given: Daniel G; family: Hofman
given: Jake M; family: Demiralp
given: Çagatay
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Visualization of Probabilities, Proportions, Icon Arrays, Risk Visualization, Perception, Communication, Crowdsourcing, Bias

Abstract: Icon arrays are graphical displays in which a subset of identical shapes are filled to convey probabilities. They are widely used for communicating probabilities to the general public. A primary design decision concerning icon arrays is how to fill and arrange these shapes. For example, a designer could fill the shapes from top to bottom or in a random fashion. We investigated the effect of different arrangements in icon arrays on probability perception. We showed participants icon arrays depicting probabilities between 0% and 100% in six different arrangements. Participants were more accurate in estimating probabilities when viewing the top, row, and diagonal arrangements, but they overestimated the proportions with the central arrangement and underestimated the proportions with the edge arrangement. They were biased to either overestimate or underestimate when viewing the random arrangement depending on the objective proportions, following a cyclical pattern consistent with existing findings in the psychophysics literature.
Title: Juvenile Graphical Perception: A Comparison between Children and Adults
Authors: family: Panavas
given: Liudas; family: Worth
given: Amy E.; family: Crnovrsanin
given: Tarik; family: Sathyamurthi
given: Tejas; family: Cordes
given: Sara; family: Borkin
given: Michelle A.; family: Dunne
given: Cody
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Data Visualization, Visualization Literacy, Graphical Perception

Abstract: Data visualization is pervasive in the lives of children as they encounter graphs and charts in early education and online media. In spite of this prevalence, our guidelines and understanding of how children perceive graphs stem primarily from studies conducted with adults. Previous psychology and education research indicates that children’s cognitive abilities are different from adults. Therefore, we conducted a classic graphical perception study on a population of children aged 8–12 enrolled in the Ivy After School Program in Boston, MA and adult computer science students enrolled in Northeastern University to determine how accurately participants judge differences in particular graphical encodings. We record the accuracy of participants’ answers for five encodings most commonly used with quantitative data. The results of our controlled experiment show that children have remarkably similar graphical perception to adults, but are consistently less accurate at interpreting the visual encodings. We found similar effectiveness rankings, relative differences in error between the different encodings, and patterns of bias across encoding types. Based on our findings, we provide design guidelines and recommendations for creating visualizations for children. This paper and all supplemental materials are available at https://osf.io/ygrdv.
Title: Exploring Uncertainty in Digital Scheduling, and The Wider Implications of Unrepresented Temporalities in HCI
Authors: family: Bowler
given: Ryan David; family: Bach
given: Benjamin; family: Pschetz
given: Larissa
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: health, Uncertainty, Probes, Marginalisation, Communication, Chronic Fatigue Syndrome, Certainty

Abstract: Digital calendars and other technologies for social event planning leave little space to communicate uncertainty regarding time, place or the ability to attend an event. However, narratives of certainty can be detrimental and lead to the marginalisation of those who find it hard to cope with rigid and strictly paced schedules, such as people with health conditions or caring responsibilities. In this paper, we explore uncertainty as the starting point and leading principle behind digital scheduling tools. We present Haze, a speculative tool and user interface, designed to gain insights on participants’ perceptions of uncertainty-based scheduling scenarios. We report on two qualitative studies (total of 21 participants), which indicate that a change in perspective towards uncertainty can challenge moral assumptions around certainty, increase temporal empathy, and indeed support those who are particularly affected by uncertainty. These findings help shift and expand the repertoire of temporality and discuss moral and social responsibilities for design and HCI.
Title: Distracting Moments in Videoconferencing: A Look Back at the Pandemic Period
Authors: family: Lee
given: Minha; family: Park
given: Wonyoung; family: Lee
given: Sunok; family: Lee
given: Sangsu
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Remote work, Videoconferencing, User experience, Distraction

Abstract: The COVID-19 pandemic has forced workers around the world to switch their working paradigms from on-site to video-mediated communication. Despite the advantages of videoconferencing, diverse circumstances have prevented people from focusing on their work. One of the most typical problems they face is that various surrounding factors distract them during their meetings. This study focuses on conditions in which remote workers are distracted by factors that disturb, interrupt, or restrict them during their meetings. We aim to explore the various problem situations and user needs. To understand users’ pain points and needs, focus group interviews and participatory design workshops were conducted to learn about participants’ troubled working experiences over the past two years and the solutions they expected. Our study provides a unified framework of distracting factors by which to understand causes of poor user experience and reveals valuable implications to improve videoconferencing experiences.
Title: Reflection in Theory and Reflection in Practice: An Exploration of the Gaps in Reflection Support among Personal Informatics Apps
Authors: family: Cho
given: Janghee; family: Xu
given: Tian; family: Zimmermann-Niefield
given: Abigail; family: Voida
given: Stephen
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: personal informatics, mobile apps, self-tracking, reflection, agency

Abstract: Personal informatics (PI) systems have been developed to support reflection. While reflection is considered an indispensable activity in PI use, how and when reflection occurs is still under-studied. In this paper, we present an analysis of the interactive features of 123 commercial PI apps, revealing that reflective practices are unevenly supported. The lack of features that encourage user-driven reflection, scaffolding for setting goals and configuring data collection and presentation, and consideration of wider implications stand to limit meaning-making and frustrate nuanced insight generation based on lived experiences. Based on our findings, we discuss how reflection is currently misrepresented in personal informatics tools, identify and characterize the gaps between theoretical research on reflection and interface features in current apps, and offer suggestions about how reflection could be better supported.
Title: Zoom Obscura: Counterfunctional Design for Video-Conferencing
Authors: family: Elsden
given: Chris; family: Chatting
given: David; family: Duggan
given: Michael; family: Dwyer
given: Andrew Carl; family: Thornton
given: Pip
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Covid-19, Video Conferencing, Zoom, Surveillance, Counterfunctional Design, Design Research

Abstract: This paper reports on Zoom Obscura – an artist-based design research project, responding to the ubiquity of video-conferencing as a technical and cultural phenomenon throughout the Covid-19 pandemic. As enterprise software, such as Zoom, rapidly came to mediate even the most personal and intimate interactions, we supported and collaborated with seven independent artists to explore technical and creative interventions in video-conferencing. Our call for participation sought critical interventions that would help users counter, and regain agency in regard to the various ways in which personal data is captured, transmitted and processed in video-conferencing tools. In this design study, we analyse post-hoc how each of the seven projects employed aspects of counterfunctional design to achieve these aims. Each project reveals different avenues and strategies for counterfunctionality in video-conferencing software, as well as opportunities to design critically towards interactions and experiences that challenge existing norms and expectations around these platforms.
Title: Perceiving Affordances Differently: The Unintended Consequences When Young Autistic Adults Engage with Social Media
Authors: family: Page
given: Xinru; family: Capener
given: Andrew; family: Cullen
given: Spring; family: Wang
given: Tao; family: Garfield
given: Monica; family: J. Wisniewski
given: Pamela
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Autistic Young Adults, Social Media, Affordances

Abstract: Social media can facilitate numerous benefits, ranging from facilitating access to social, instrumental, financial, and other support, to professional development and civic participation. However, these benefits may not be generalizable to all users. Therefore, we conducted an ethnographic case study with eight Autistic young adults, ten staff members, and four parents to understand how Autistic users of social media engage with others, as well as any unintended consequences of use. We leveraged an affordances perspective to understand how Autistic young adults share and consume user-generated content, make connections, and engage in networked interactions with others via social media. We found that they often used a literal interpretation of digital affordances that sometimes led to negative consequences including physical harm, financial loss, social anxiety, feelings of exclusion, and inadvertently damaging their social relationships. We make recommendations for redesigning social media affordances to be more inclusive of neurodiverse users.
Title: The Polyvocality of Online COVID-19 Vaccine Narratives that Invoke Medical Racism
Authors: family: Diamond
given: Lindsay Levkoff; family: Batan
given: Hande; family: Anderson
given: Jennings; family: Palen
given: Leysia
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: COVID-19, Misinformation, Public Health, Disinformation, Social Media, Vaccines, Anti-Vaccine, Medical Racism, Pandemic

Abstract: Vaccine hesitancy has always been a public health concern, and anti-vaccine campaigns that proliferate disinformation have gained traction across the US in the last 25 years. The demographics of resistance are varied, with health, religious, and, increasingly, political concerns cited as reasons. With the COVID-19 pandemic igniting the fastest development of vaccines to date, mis- and disinformation about them have become inflammatory, with campaigning allegedly including racial targeting. Through a primarily qualitative investigation, this study inductively examines a large online vaccine discussion space that invokes references to the unethical Tuskegee Syphilis Study to understand how tactics of racial targeting of Black Americans might appear publicly. We find that such targeting is entangled with a genuine discussion about medical racism and vaccine hesitancy. Across 12 distinct voices that address race, medical racism, and vaccines, we discuss how mis- and disinformation sit alongside accurate information in a “polyvocal” space.
Title: Sensemaking, Support, Safety, Retribution, Transformation: A Restorative Justice Approach to Understanding Adolescents’ Needs for Addressing Online Harm
Authors: family: Xiao
given: Sijia; family: Cheshire
given: Coye; family: Salehi
given: Niloufar
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: online governance, content moderation, Online harassment, social media, survivors

Abstract: Online harm is a prevalent issue in adolescents’ online lives. Restorative justice teaches us to focus on those who have been harmed, ask what their needs are, and engage in the offending party and community members to collectively address the harm. In this research, we conducted interviews and design activities with harmed adolescents to understand their needs to address online harm. They also identified the key stakeholders relevant to their needs, the desired outcomes, and the preferred timing to achieve them. We identified five central needs of harmed adolescents: sensemaking, emotional support and validation, safety, retribution, and transformation. We find that addressing the needs of those who are harmed online usually requires concerted efforts from multiple stakeholders online and offline. We conclude by discussing how platforms can implement design interventions to meet some of these needs.
Title: Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on Instagram
Authors: family: Ruensuk
given: Mintra; family: Kim
given: Taewan; family: Hong
given: Hwajung; family: Oakley
given: Ian
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Smartphones, Social media, Experience sampling, Instagram, Affect detection

Abstract: Social Network Services (SNSs) evoke diverse affective experiences. While most are positive, many authors have documented both the negative emotions that can result from browsing SNS and their impact: Facebook depression is a common term for the more severe results. However, while the importance of the emotions experienced on SNSs is clear, methods to catalog them, and systems to detect them, are less well developed. Accordingly, this paper reports on two studies using a novel contextually triggered Experience Sampling Method to log surveys immediately after using Instagram, a popular image-based SNS, thus minimizing recall biases. The first study improves our understanding of the emotions experienced while using SNSs. It suggests that common negative experiences relate to appearance comparison and envy. The second study captures smartphone sensor data during Instagram sessions to detect these two emotions, ultimately achieving peak accuracies of 95.78% (binary appearance comparison) and 93.95% (binary envy).
Title: Understanding the Digital Lives of Youth: Analyzing Media Shared within Safe Versus Unsafe Private Conversations on Instagram
Authors: family: Ali
given: Shiza; family: Razi
given: Afsaneh; family: Kim
given: Seunghyun; family: Alsoubai
given: Ashwaq; family: Gracie
given: Joshua; family: De Choudhury
given: Munmun; family: Wisniewski
given: Pamela J.; family: Stringhini
given: Gianluca
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: unsafe private conversations, Datasets, Adolescents, Image Analysis, Instagram, Teens

Abstract: We collected Instagram Direct Messages (DMs) from 100 adolescents and young adults (ages 13-21) who then flagged their own conversations as safe or unsafe. We performed a mixed-method analysis of the media files shared privately in these conversations to gain human-centered insights into the risky interactions experienced by youth. Unsafe conversations ranged from unwanted sexual solicitations to mental health related concerns, and images shared in unsafe conversations tended to be of people and convey negative emotions, while those shared in regular conversations more often conveyed positive emotions and contained objects. Further, unsafe conversations were significantly shorter, suggesting that youth disengaged when they felt unsafe. Our work uncovers salient characteristics of safe and unsafe media shared in private conversations and provides the foundation to develop automated systems for online risk detection and mitigation.
Title: The Last Decade of HCI Research on Children and Voice-based Conversational Agents
Authors: family: Garg
given: Radhika; family: Cui
given: Hua; family: Seligson
given: Spencer; family: Zhang
given: Bo; family: Porcheron
given: Martin; family: Clark
given: Leigh; family: Cowan
given: Benjamin R.; family: Beneteau
given: Erin
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: family, virtual assistants, smart speakers, parents, voice interfaces, literature review, children, systematic literature review, voice agents, voice user interfaces, conversational agents

Abstract: Voice-based Conversational Agents (CAs) are increasingly being used by children. Through a review of 38 research papers, this work maps trends, themes, and methods of empirical research on children and CAs in HCI research over the last decade. A thematic analysis of the research found that work in this domain focuses on seven key topics: ascribing human-like qualities to CAs, CAs? support of children?s learning, the use and role of CAs in the home and family context, CAs? support of children?s play, children?s storytelling with CA, issues concerning the collection of information revealed by CAs, and CAs designed for children with differing abilities. Based on our findings, we identify the needs to account for children’s intersectional identities and linguistic and cultural diversity and theories from multiple disciples in the design of CAs, develop heuristics for child-centric interaction with CAs, to investigate implications of CAs on social cognition and interpersonal relationships, and to examine and design for multi-party interactions with CAs for different domains and contexts.
Title: Participatory Design Goes to School: Co-Teaching as a Form of Co-Design for Educational Technology
Authors: family: Nicholson
given: Rebecca; family: Bartindale
given: Tom; family: Kharrufa
given: Ahmed; family: Kirk
given: David; family: Walker-Gleaves
given: Caroline
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Co-Teaching, Participatory Design, Co-Design, Educational Technology

Abstract: Educational technologies offer benefits in the classroom but there are barriers to their successful integration, including teachers’ pedagogical beliefs and their skills and experience. Participatory Design (PD) approaches offer one way in which teachers can be directly involved in the design of classroom technologies, however PD processes alone fail to address the challenges of integrating technology within existing practices. In this paper we propose co-teaching as a novel form of co-design practice. We describe a two year longitudinal Co-Teaching project resulting in the development and use of three digital designs for the classroom. Using the TPACK model to guide our reflections we offer insights into the ways that co-teaching can support the design and integration of educational technologies. We suggest that co-teaching as a form of co-design practice offers a way to move teachers from passive adopters of technology to active participants in the design and integration of educational technologies.
Title: The Unboxing Experience: Exploration and Design of Initial Interactions Between Children and Social Robots
Authors: family: Lee
given: Christine P; family: Cagiltay
given: Bengisu; family: Mutlu
given: Bilge
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: experience design, social robots, child-robot interaction, Participatory design, unboxing

Abstract: Social robots are increasingly introduced into children’s lives as educational and social companions, yet little is known about how these products might best be introduced to their environments. The emergence of the “unboxing” phenomenon in media suggests that introduction is key to technology adoption where initial impressions are made. To better understand this phenomenon toward designing a positive unboxing experience in the context of social robots for children, we conducted three field studies with families of children aged 8 to 13: (1) an exploratory free-play activity (n = 12); (2) a co-design session (n = 11) that informed the development of a prototype box and a curated unboxing experience; and (3) a user study (n = 9) that evaluated children’s experiences. Our findings suggest the unboxing experience of social robots can be improved through the design of a creative aesthetic experience that engages the child socially to guide initial interactions and foster a positive child-robot relationship.