huashen218/convxai-cia-dataset huggingface dataset:
Title: Radical Futures: Supporting Community-Led Design Engagements through an Afrofuturist Speculative Design Toolkit
Authors: family: Bray
given: Kirsten E; family: Harrington
given: Christina; family: Parker
given: Andrea G; family: Diakhate
given: N'Deye; family: Roberts
given: Jennifer
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: design methods, method, qualitative methods, participatory design, design research methods

Abstract: When considering the democratic intentions of co-design, designers and design researchers must evaluate the impact of power imbalances embedded in common design and research dynamics. This holds particularly true in work with and for marginalized communities, who are frequently excluded in design processes. To address this issue, we examine how existing design tools and methods are used to support communities in processes of community building or reimagining, considering the influence of race and identity. This paper describes our findings from 27 interviews with community design practitioners conducted to evaluate the Building Utopia toolkit, which employs an Afrofuturist lens for speculative design processes. Our research findings support the importance of design tools that prompt conversations on race in design, and tensions between the desire for imaginative design practice and the immediacy of social issues, particularly when designing with Black and brown communities.
Title: Interactive Fiction Provotypes for Coping with Interpersonal Racism
Authors: family: To
given: Alexandra; family: Carey
given: Hillary; family: Shrivastava
given: Riya; family: Hammer
given: Jessica; family: Kaufman
given: Geoff
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: microaggressions, provotype, racism, interactive fiction

Abstract: Reducing uncertainty around the nature of racist interactions is one of the key motivations driving individual behaviors for coping with those incidents. However, there are few appropriate technologies to support BIPOC (Black, Indigenous, People of Color) in engaging in social uncertainty reduction around this vulnerable, sensitive topic. This paper reports on an exploratory design study investigating how social technology might facilitate uncertainty reduction through three “provotypes” - provocative prototypes of user-generated speculative design concepts. U.S.-based participants engaged with the provotypes through an interactive fiction to explore their usefulness in the context of a racist microaggression. Results showed that engaging the provotypes through interactive fiction facilitated complex and productive interactions and critiques. This work contributes a novel method for conducting exploratory design, remote user studies using interactive fiction as well as priorities, tensions, and further information what role, if any, technology might play in managing racist interactions.
Title: ReClaym our Compost: Biodegradable Clay for Intimate Making
Authors: family: Bell
given: Fiona; family: Ofer
given: Netta; family: Alistar
given: Mirela
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Biomaterials, Biodesign, Sustainability, Intimacy, Bio-HCI

Abstract: In this work, we use composted food waste to create ReClaym: a personal biomaterial, made at home, that reflects the makers’ relationship with food. We combine our personal compost with non-toxic binders to create a biomaterial that can completely biodegrade. We propose Intimate Making as an approach for working with ReClaym that leverages familiar, hands-on techniques to enhance maker-material communication, which in turn leads to a deeper material understanding. We explore methods to customize ReClaym via color, texture, sensing, and conductivity. We apply manual fabrication techniques (sculpting, molding, and hand-held extruding) and design explorations to create a collection of applications that include garden paraphernalia, games, and personal items found in the home. We then examine the entire life cycle of ReClaym, which both begins and ends with composting—giving food waste a second life and providing a sustainable end of life for ReClaym artifacts, thus making the process truly circular.
Title: Sensitive Pictures: Emotional Interpretation in the Museum
Authors: family: Benford
given: Steve; family: Sundnes Løvlie
given: Anders; family: Ryding
given: Karin; family: Rajkowska
given: Paulina; family: Bodiaj
given: Edgar; family: Paris Darzentas
given: Dimitrios; family: Cameron
given: Harriet; family: Spence
given: Jocelyn; family: Egede
given: Joy; family: Spanjevic
given: Bogdan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Affective Interaction, Museum, Ambiguity, Affect, Emotion, Computer Vision, Affective Computing, Interpretation, Data Souvenir

Abstract: Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional visitor experience co-created with the Munch art museum. Visitors choose emotions, locate associated paintings in the museum, experience an emotional story while viewing them, and self-report their response. A subsequent interview with a portrayal of the artist employs computer vision to estimate emotional responses from facial expressions. Visitors are given a souvenir postcard visualizing their emotional data. A study of 132 members of the public (39 interviewed) illuminates key themes: designing emotional provocations; capturing emotional responses; engaging visitors with their data; a tendency for them to align their views with the system's interpretation; and integrating these elements into emotional trajectories. We consider how Affective Computing can hold up a mirror to our emotions during Affective Interaction
Title: Understanding Screen-based Dining Practices through the Lens of Mindful Eating
Authors: family: Khot
given: Rohit Ashok; family: Aggarwal
given: Deepti; family: Pasumarthy
given: Nandini
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Screen-based dining, Human-Food Interaction, mindful eating

Abstract: Our eating practices are increasingly overshadowed by the presence of screen-based media technologies that conflict with the ideologies of mindful eating. However, little is known about whether and how screens influence our eating behaviors. To contribute to this understanding, we present a rich account of dining practices of ten participants with and without screen. Our study revealed that eating with screens was found more enjoyable than eating alone. Screens can influence one's awareness of hunger and other behaviors like chewing rate and food gaze, whereas screen-media did not trigger any judgements for food. Drawing on the study insights, we highlight the role of technology to support bodily awareness, savoring, a non-judgmental attitude to eating and on rethinking distractions as companions. The outlined considerations encourage a creative yet careful take on making mindful eating more accessible within the realities of screen-based dining cultures.
Title: A Study of Solar Cooking: Exploring Climate-Resilient Food Preparation and Opportunities for HCI
Authors: family: Kuznetsov
given: Stacey; family: Rodriguez Vega
given: Alejandra; family: Long
given: Elenore
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: food science, Solar cooking, DIY, sustainable HCI

Abstract: As parts of our planet continue to experience extreme heat waves, it is more urgent than ever for human-food interaction research to examine climate-resilient and sustainable food practices. Our work, conducted in the hottest city in the USA, focuses on solar cooking as a set of creative DIY activities that use extreme heat and mitigate human impact on the environment. We report on a summer-long study whereby 7 enthusiasts built solar ovens from scratch and experimented with solar recipes ranging from slow-cooked pork and chicken to bread, kale chips, brownies, jerky, and fruit rollups. Our findings depict solar cooking as a form of iterative DIY, which, through its challenges and creative workarounds, serves as a point of engagement with both food and extreme heat. We reflect on solar cooking as a climate-resilient food practice and conclude with design considerations for HCI to support solar cooking as a habitual community practice.
Title: Yo–Yo Machines: Self-Build Devices that Support Social Connections During the Pandemic
Authors: family: Gaver
given: William; family: Boucher
given: Andy; family: Brown
given: Dean; family: Chatting
given: David; family: Matsuda
given: Naho; family: Ovalle
given: Liliana; family: Sheen
given: Andy; family: Vanis
given: Michail
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: research through design, peripheral and expressive communication, open source, design research, self-build, IoT

Abstract: Yo–Yo Machines are playful communication devices designed to help people feel socially connected while physically separated. We designed them to reach as many people as possible, both to make a positive impact during the COVID-19 pandemic and to assess a self-build approach to circulating research products and the appeal of peripheral and expressive communication devices. A portfolio of four distinct designs, based on over 30 years of research, were made available for people to make by following simple online instructions (yoyomachines.io). Each involves connecting a pair of identical devices over the internet to allow simple communication at a distance. This paper describes our motivation for the project, previous work in the area, the design of the devices, supporting website and publicity, and how users have made and used Yo-Yo Machines. Finally, we reflect on what we learned about peripheral and expressive communication devices and implications for the self-build approach.
Title: Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs
Authors: family: Seita
given: Matthew; family: Lee
given: Sooyeon; family: Andrew
given: Sarah; family: Shinohara
given: Kristen; family: Huenerfauth
given: Matt
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Automatic Speech Recognition, Deaf and Hard-of-Hearing, Participatory Design, Videoconferencing, Accessibility

Abstract: Deaf and Hard-of-Hearing (DHH) users face accessibility challenges during in-person and remote meetings. While emerging use of applications incorporating automatic speech recognition (ASR) is promising, more user-interface and user-experience research is needed. While co-design methods could elucidate designs for such applications, COVID-19 has interrupted in-person research. This study describes a novel methodology for conducting online co-design workshops with 18 DHH and hearing participant pairs to investigate ASR-supported mobile and videoconferencing technologies along two design dimensions: Correcting errors in ASR output and implementing notification systems for influencing speaker behaviors. Our methodological findings include an analysis of communication modalities and strategies participants used, use of an online collaborative whiteboarding tool, and how participants reconciled differences in ideas. Finally, we present guidelines for researchers interested in online DHH co-design methodologies, enabling greater geographically diversity among study participants even beyond the current pandemic.
Title: A Large-Scale Longitudinal Analysis of Missing Label Accessibility Failures in Android Apps
Authors: family: Fok
given: Raymond; family: Zhong
given: Mingyuan; family: Ross
given: Anne Spencer; family: Fogarty
given: James; family: Wobbrock
given: Jacob O.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: large-scale longitudinal analysis, mobile app accessibility

Abstract: We present the first large-scale longitudinal analysis of missing label accessibility failures in Android apps. We developed a crawler and collected monthly snapshots of 312 apps over 16 months. We use this unique dataset in empirical examinations of accessibility not possible in prior datasets. Key large-scale findings include missing label failures in 55.6% of unique image-based elements, longitudinal improvement in ImageButton elements but not in more prevalent ImageView elements, that 8.8% of unique screens are unreachable without navigating at least one missing label failure, that app failure rate does not improve with number of downloads, and that effective labeling is neither limited to nor guaranteed by large software organizations. We then examine longitudinal data in individual apps, presenting illustrative examples of accessibility impacts of systematic improvements, incomplete improvements, interface redesigns, and accessibility regressions. We discuss these findings and potential opportunities for tools and practices to improve label-based accessibility.
Title: ImageExplorer: Multi-Layered Touch Exploration to Encourage Skepticism Towards Imperfect AI-Generated Image Captions
Authors: family: Lee
given: Jaewook; family: Herskovitz
given: Jaylin; family: Peng
given: Yi-Hao; family: Guo
given: Anhong
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Automatic image captioning, alt text, imperfect AI, Blind, visual impairment, screen reader, alternative text, accessibility, touch exploration, encourage skepticism

Abstract: Blind users rely on alternative text (alt-text) to understand an image; however, alt-text is often missing. AI-generated captions are a more scalable alternative, but they often miss crucial details or are completely incorrect, which users may still falsely trust. In this work, we sought to determine how additional information could help users better judge the correctness of AI-generated captions. We developed ImageExplorer, a touch-based multi-layered image exploration system that allows users to explore the spatial layout and information hierarchies of images, and compared it with popular text-based (Facebook) and touch-based (Seeing AI) image exploration systems in a study with 12 blind participants. We found that exploration was generally successful in encouraging skepticism towards imperfect captions. Moreover, many participants preferred ImageExplorer for its multi-layered and spatial information presentation, and Facebook for its summary and ease of use. Finally, we identify design improvements for effective and explainable image exploration systems for blind users.
Title: Above and Beyond: A Scoping Review of Domains and Applications for Human-Drone Interaction
Authors: family: Herdel
given: Viviane; family: Yamin
given: Lee J.; family: Cauchard
given: Jessica R.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Classification., Human-Drone Interaction, Domains, Scoping Review, Robot, UAV, Applications, Context

Abstract: Interacting with flying objects has fueled people’s imagination throughout history. Over the past decade, the Human-Drone Interaction (HDI) community has been working towards making this dream a reality. Despite notable findings, we lack a high-level perspective on the current and future use cases for interacting with drones. We present a holistic view of domains and applications of use that are described, studied, and envisioned in the HDI body of work. To map the extent and nature of the prior research, we performed a scoping review (N=217). We identified 16 domains and over 100 applications where drones and people interact together. We then describe in depth the main domains and applications reported in the literature and further present under-explored use cases with great potential. We conclude with fundamental challenges and opportunities for future research in the field. This work contributes a systematic step towards increased replicability and generalizability of HDI research.
Title: Understanding Social Influence in Collective Product Ratings Using Behavioral and Cognitive Metrics
Authors: family: Cherng
given: Fu-Yin; family: Fang
given: Jingchao; family: Jiang
given: Yinhao; family: Chen
given: Xin; family: Choi
given: Taejun; family: Wang
given: Hao-Chuan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: EEG, Social Influence, Social Conformity, Brain-Computer Interface, Online Rating

Abstract: Online platforms commonly collect and display user-generated information to support subsequent users’ decision-making. However, studies have noticed that presenting collective information can pose social influences on individuals’ opinions and alter their preferences accordingly. It is essential to deepen understanding of people’s preferences when exposed to others’ opinions and the underlying cognitive mechanisms to address potential biases. Hence, we conducted a laboratory study to investigate how products’ ratings and reviews influence participants’ stated preferences and cognitive responses assessed by their Electroencephalography (EEG) signals. The results showed that social ratings and reviews could alter participants’ preferences and affect their status of attention, working memory, and emotion. We further conducted predictive analyses to show that participants’ Electroencephalography-based measures can achieve higher power than behavioral measures to discriminate how collective information is displayed to users. We discuss the design implications informed by the results to shed light on the design of collective rating systems.
Title: Mobilizing Crowdwork:A Systematic Assessment of the Mobile Usability of HITs
Authors: family: Dutta
given: Senjuti; family: Linder
given: Rhema; family: Lowe
given: Doug; family: Rosenbalm
given: Richard; family: Kuzminykh
given: Anastasia; family: Williams
given: Alex C
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Taxonomy, Human Intelligence Tasks., Crowdwork, Mobile Usability

Abstract: There is a growing interest in extending crowdwork beyond traditional desktop-centric design to include mobile devices (e.g., smartphones). However, mobilizing crowdwork remains significantly tedious due to a lack of understanding about the mobile usability requirements of human intelligence tasks (HITs). We present a taxonomy of characteristics that defines the mobile usability of HITs for smartphone devices. The taxonomy is developed based on findings from a study of three consecutive steps. In Step 1, we establish an initial design of our taxonomy through a targeted literature analysis. In Step 2, we verify and extend the taxonomy through an online survey with Amazon Mechanical Turk crowdworkers. Finally, in Step 3 we demonstrate the taxonomy’s utility by applying it to analyze the mobile usability of a dataset of scraped HITs. In this paper, we present the iterative development of the taxonomy, highlighting the observed practices and preferences around mobile crowdwork. We conclude with the implications of our taxonomy for accessibly and ethically mobilizing crowdwork not only within the context of smartphone devices, but beyond them.
Title: Psychometric Properties of the User Experience Questionnaire (UEQ)
Authors: family: Schankin
given: Andrea; family: Budde
given: Matthias; family: Riedel
given: Till; family: Beigl
given: Michael
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: psychometric properties, user experience, UEQ

Abstract: User experience (UX) summarizes user perceptions and responses resulting from the interaction with a product, system, or service. The User Experience Questionnaire (UEQ) is one standardized instrument for measuring UX. With six scales, it identifies areas in which product improvements will have the highest impact. In this paper, we evaluate the reliability and validity of this questionnaire. The data of N = 1, 121 participants who interacted with one of 23 products indicated an acceptable to good reliability of all scales. The results show, however, that the scales were not independent of each other. Combining perspicuity, efficiency, and dependability to pragmatic aspects as well as novelty and stimulation to hedonic aspects of UX improved the model fit significantly. The systematic variations of product properties and correlations with the System Usability Scale (SUS) in a second experiment with N=499 participants supported the validity of these two factors. Practical implications of the results are discussed.
Title: Identifying an Aurally Distinct Phrase Set for Text Entry Techniques
Authors: family: Abbott
given: Jacob; family: Kaye
given: Jofish; family: Clawson
given: James
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: input techniques, TTS, text entry, synthesized speech, accessibility, text-to-speech

Abstract: In the last decade, interest in accessible and eyes-free text entry has continued to grow. However, little research has been done to explore the feasibility of using audibly distinct phrases for text entry tasks. To better understand whether preexisting phrases used in text entry research are sufficiently distinct for eyes-free text entry tasks, we used Microsoft’s and Apple’s desktop text-to-speech systems to generate all 500 phrases from MacKenzie and Soukoreff’s set [32] using the default male and female voices. We then asked 392 participants recruited through Amazon’s Mechanical Turk to transcribe the generated audio clips. We report participant transcription errors and present the 96 phrases that were observed with no comprehension errors. These phrases were further tested with 80 participants who identified as low-vision and/or blind recruited through Twitter. We contribute the 92 phrases that were observed to maintain no comprehension errors across both experiments.
Title: (Don’t) stand by me: How trait psychopathy and NPC emotion influence player perceptions, verbal responses, and movement behaviours in a gaming task
Authors: family: Dechant
given: Martin Johannes; family: Welsch
given: Robin; family: Frommel
given: Julian; family: Mandryk
given: Regan L
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: interpersonal distance, psychopathy, disinhibition, personality traits, social interaction, meanness, boldness, gaming, behaviour

Abstract: Social interactions are an essential part of many digital games, and provide benefits to players; however, problematic social interactions also lead to harm. To inform our understanding of the origins of harmful social behaviours in gaming contexts, we examine how trait psychopathy influences player perceptions and behaviours within a gaming task. After measuring participants’ (n=385) trait-level boldness, meanness, and disinhibition, we expose them to neutral and angry social interactions with a non-player character (NPC) in a gaming task and assess their perceptions, verbal responses, and movement behaviours. Our findings demonstrate that the traits significantly influence interpretation of NPC emotion, verbal responses to the NPC, and movement behaviours around the NPC. These insights can inform the design of social games and communities and can help designers and researchers better understand how social functioning translates into gaming contexts.