huashen218/convxai-cia-dataset huggingface dataset:
Title: Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb
Authors: family: Tian
given: Yang; family: Bai
given: Yuming; family: Zhao
given: Shengdong; family: Fu
given: Chi-Wing; family: Yang
given: Tianpei; family: Heng
given: Pheng Ann
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Selecting targets directly in the virtual world is difficult due to the lack of haptic feedback and inaccurate estimation of egocentric distances. Proprioception, the sense of self-movement and body position, can be utilized to improve virtual target selection by placing targets on or around one's body. However, its effective scope is limited closely around one's body. We explore the concept of virtually-extended proprioception by appending virtual body parts mimicking real body parts to users' avatars, to provide spatial reference to virtual targets. Our studies suggest that our approach facilitates more efficient target selection in VR as compared to no reference or using an everyday object as reference. Besides, by cultivating users' sense of ownership on the appended virtual body part, we can further enhance target selection performance. The effects of transparency and granularity of the virtual body part on target selection performance are also discussed.
Title: Un-authorised View: Leveraging Volunteer Expertise in Heritage
Authors: family: Tsenova
given: Violeta; family: Wood
given: Gavin; family: Dolfini
given: Andrea; family: Tindley
given: Annie; family: Kirk
given: David
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Volunteers are an underused but important resource in presenting plural heritages within large heritage organizations. We report on a qualitative study at a heritage site in the UK which combined explorations of volunteers' practice and digital design. The study comprised of observational fieldwork with co-creative activities across eight linked workshops, where we explored the site with volunteers, and how we might leverage existing working structures to make new design prototypes. Our collective account contributes new insights on working with volunteers and the opportunities that arise from acknowledging them as genius loci - recognising them as experts of their own experience and capturing and supporting their skills as storytellers. Working with the volunteering staff in a co-design process we created innovative designs including our Un-authorised View, which draws out the unique perspectives and the personal stories at heritage destinations.
Title: Chameleon: Bringing Interactivity to Static Digital Documents
Authors: family: Masson
given: Damien; family: Malacria
given: Sylvain; family: Lank
given: Edward; family: Casiez
given: Géry
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Documents such as presentations, instruction manuals, and research papers are disseminated using various file formats, many of which barely support the incorporation of interactive content. To address this lack of interactivity, we present Chameleon, a system-wide tool that combines computer vision algorithms used for image identification with an open database format to allow for the layering of dynamic content. Using Chameleon, static documents can be easily upgraded by layering user-generated interactive content on top of static images, all while preserving the original static document format and without modifying existing applications. We describe the development of Chameleon, including the design and evaluation of vision-based image replacement algorithms, the new document-creation pipeline as well as a user study evaluating Chameleon.
Title: Exploring The Future of Data-Driven Product Design
Authors: family: Gorkovenko
given: Katerina; family: Burnett
given: Daniel J.; family: Thorp
given: James K.; family: Richards
given: Daniel; family: Murray-Rust
given: Dave
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Connected devices present new opportunities to advance design through data collection in the wild, similar to the way digital services evolve through analytics. However, it is still unclear how live data transmitted by connected devices informs the design of these products, going beyond performance optimisation to support creative practices. Design can be enriched by data captured by connected devices, from usage logs to environmental sensors, and data about the devices and people around them. Through a series of workshops, this paper contributes industry and academia perspectives on the future of data-driven product design. We highlight HCI challenges, issues and implications, including sensemaking and the generation of design insight. We further challenge current notions of data-driven design and envision ways in which future HCI research can develop ways to work with data in the design process in a connected, rich, human manner.
Title: Alexa as Coach: Leveraging Smart Speakers to Build Social Agents that Reduce Public Speaking Anxiety
Authors: family: Wang
given: Jinping; family: Yang
given: Hyun; family: Shao
given: Ruosi; family: Abdullah
given: Saeed; family: Sundar
given: S. Shyam
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Public speaking anxiety is one of the most common social phobias. We explore the feasibility of using a conversational agent to reduce this anxiety. We developed a public-speaking tutor on the Amazon Alexa platform that enables users to engage in cognitive reconstruction exercises. We also investigated how the sociability of the agent might affect its performance as a tutor. A user study of 53 college students with fear of public speaking showed that the interaction with the agent served to assuage pre-speech state anxiety. Agent sociability improved the sense of interpersonal closeness, which was associated with lower pre-speech anxiety. Moreover, sociability of the agent increased participants' satisfaction and their willingness to continue engagement. Our findings, thus, have implications not only for addressing public speaking anxiety in a scalable way but also for the design of future conversational agents using smart speaker platforms.
Title: Do You Feel Like Passing Through Walls?: Effect of Self-Avatar Appearance on Facilitating Realistic Behavior in Virtual Environments
Authors: family: Ogawa
given: Nami; family: Narumi
given: Takuji; family: Kuzuoka
given: Hideaki; family: Hirose
given: Michitaka
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Preventing users from walking through virtual boundaries (e.g., walls) is an important issue to be addressed in room-scale virtual environments (VEs), considering the safety and design limitations. Sensory feedback from wall collisions has been shown to be effective; however, it can disrupt the immersion. We assumed that a greater sense of presence would discourage users from walking through walls and conducted a two-factor between-subjects experiment (N = 92) that controls the anthropomorphism (realistic or abstract) and visibility (full-body or hand-only) of self-avatars. We analyzed the participants' behaviors and the moment they first penetrated the wall in game-like VEs that gradually instigated participants to penetrate the walls. The results showed that the realistic full-body self-avatar was the most effective for discouraging the participants from penetrating the walls. Furthermore, the participants with lower presence tended to walk through the walls sooner. This study can contribute to applications that require realistic user responses in VEs.
Title: Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy
Authors: family: Alonzo
given: Oliver; family: Seita
given: Matthew; family: Glasser
given: Abraham; family: Huenerfauth
given: Matt
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Automatic Text Simplification (ATS), which replaces text with simpler equivalents, is rapidly improving. While some research has examined ATS reading-assistance tools, little has examined preferences of adults who are deaf or hard-of-hearing (DHH), and none empirically evaluated lexical simplification technology (replacement of individual words) with these users. Prior research has revealed that U.S. DHH adults have lower reading literacy on average than their hearing peers, with unique characteristics to their literacy profile. We investigate whether DHH adults perceive a benefit from lexical simplification applied automatically or when users are provided with greater autonomy, with on-demand control and visibility as to which words are replaced. Formative interviews guided the design of an experimental study, in which DHH participants read English texts in their original form and with lexical simplification applied automatically or on-demand. Participants indicated that they perceived a benefit form lexical simplification, and they preferred a system with on-demand simplification.
Title: Whither Humane-Computer Interaction? Adult and Child Value Conflicts in the Biometric Fingerprinting for Food
Authors: family: Mudliar
given: Preeti
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: This paper reports on the value conflicts that beneficiaries experience when engaging in the monthly ritual of the biometric authentication of their fingerprints to claim state-sponsored food entitlements in India. Drawing on value-based orientations to HCI inquiry, the study locates the interactions around the biometric process to illustrate the ways in which beneficiaries find their values of time, dignity, and privacy, consistently disregarded by the interactive demands of the biometric system. Additionally, to cope with these value conflicts, some beneficiaries pass on the responsibilities of completing the biometric process to the children in their families. While adult beneficiaries are vocal and articulate about the value tensions in their lives, children cope with the anxieties of interacting with the biometric process, silently; even as they experience conflicts in their education, play, and study time.
Title: Augmented Reality for Older Adults: Exploring Acceptability of Virtual Coaches for Home-based Balance Training in an Aging Population
Authors: family: Mostajeran
given: Fariba; family: Steinicke
given: Frank; family: Ariza Nunez
given: Oscar Javier; family: Gatsios
given: Dimitrios; family: Fotiadis
given: Dimitrios
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Balance training has been shown to be effective in reducing risks of falling, which is a major concern for older adults. Usually, exercise programs are individually prescribed and monitored by physiotherapeutic or medical experts. Unfortunately, supervision and motivation of older adults during home-based exercises cannot be provided on a large scale, in particular, considering an ageing population. Augmented reality (AR) in combination with virtual coaches could provide a reasonable solution to this challenge.We present a first investigation of the acceptance of an AR coaching system for balance training, which can be performed at home. In a human-centered design approach we developed several mock-ups and prototypes, and evaluated them with 76 older adults. The results suggest that older adults find the system encouraging and stimulating. The virtual coach is perceived as an alive, calm, intelligent, and friendly human. However, usability of the entire AR system showed a significant negative correlation with participants' age.
Title: Faces of Focus: A Study on the Facial Cues of Attentional States
Authors: family: Babaei
given: Ebrahim; family: Srivastava
given: Namrata; family: Newn
given: Joshua; family: Zhou
given: Qiushi; family: Dingler
given: Tilman; family: Velloso
given: Eduardo
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Automatically detecting attentional states is a prerequisite for designing interventions to manage attention - knowledge workers' most critical resource. As a first step towards this goal, it is necessary to understand how different attentional states are made discernible through visible cues in knowledge workers. In this paper, we demonstrate the important facial cues to detect attentional states by evaluating a data set of 15 participants that we tracked over a whole workday, which included their challenge and engagement levels. Our evaluation shows that gaze, pitch, and lips part action units are indicators of engaged work; while pitch, gaze movements, gaze angle, and upper-lid raiser action units are indicators of challenging work. These findings reveal a significant relationship between facial cues and both engagement and challenge levels experienced by our tracked participants. Our work contributes to the design of future studies to detect attentional states based on facial cues.
Title: Why do people watch others eat food? An Empirical Study on the Motivations and Practices of Mukbang Viewers
Authors: family: Anjani
given: Laurensia; family: Mok
given: Terrance; family: Tang
given: Anthony; family: Oehlberg
given: Lora; family: Goh
given: Wooi Boon
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: We present a mixed-methods study of viewers on their practices and motivations around watching mukbang — video streams of people eating large quantities of food. Viewers' experiences provide insight on future technologies for multisensorial video streams and technology-supported commensality (eating with others). We surveyed 104 viewers and interviewed 15 of them about their attitudes and reflections on their mukbang viewing habits, their physiological aspects of watching someone eat, and their perceived social relationship with mukbangers. Based on our findings, we propose design implications for remote commensality, and for synchronized multisensorial video streaming content.
Title: The Care Work of Access
Authors: family: Bennett
given: Cynthia L.; family: Rosner
given: Daniela K.; family: Taylor
given: Alex S.
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Current approaches to AI and Assistive Technology (AT) often foreground task completion over other encounters such as expressions of care. Our paper challenges and complements such task-completion approaches by attending to the care work of access-the continual affective and emotional adjustments that people make by noticing and attending to one another. We explore how this work impacts encounters among people with and without vision impairments who complete tasks together. We find that bound up in attempts to get things done are concerns for one another and how well people are doing together. Reading this work through emerging disability studies and feminist STS scholarship, we account for two important forms of work that give rise to access: (1) mundane attunements and (2) non-innocent authorizations. Together these processes work as sensitizing concepts to help HCI scholars account for the ways that intelligent ATs both produce access while sometimes subverting people with disabilities.
Title: "Nobody Speaks that Fast!" An Empirical Study of Speech Rate in Conversational Agents for People with Vision Impairments
Authors: family: Choi
given: Dasom; family: Kwak
given: Daehyun; family: Cho
given: Minji; family: Lee
given: Sangsu
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: The number of people with vision impairments using Conversational Agents (CAs) has increased because of the potential of this technology to support them. As many visually impaired people are accustomed to understanding fast speech, most screen readers or voice assistant systems offer speech rate settings. However, current CAs are designed to interact at a human-like speech rate without considering their accessibility. In this study, we tried to understand how people with vision impairments use CA at a fast speech rate. We conducted a 20-day in-home study that examined the CA use of 10 visually impaired people at default and fast speech rates. We investigated the difference in visually impaired people's CA use with different speech rates and their perception toward CA at each rate. Based on these findings, we suggest considerations for the future design of CA speech rate for those with visual impairments.
Title: Examining the Adoption and Abandonment of Security, Privacy, and Identity Theft Protection Practices
Authors: family: Zou
given: Yixin; family: Roundy
given: Kevin; family: Tamersoy
given: Acar; family: Shintre
given: Saurabh; family: Roturier
given: Johann; family: Schaub
given: Florian
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Users struggle to adhere to expert-recommended security and privacy practices. While prior work has studied initial adoption of such practices, little is known about the subsequent implementation and abandonment. We conducted an online survey (n=902) examining the adoption and abandonment of 30 commonly recommended practices. Security practices were more widely adopted than privacy and identity theft protection practices. Manual and fully automatic practices were more widely adopted than practices requiring recurring user interaction. Participants' gender, education, technical background, and prior negative experience are correlated with their levels of adoption. Furthermore, practices were abandoned when they were perceived as low-value, inconvenient, or when users overrode them with subjective judgment. We discuss how security, privacy, and identity theft protection recommendations and tools can be better aligned with user needs.
Title: Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models
Authors: family: Mohaddesi
given: Omid; family: Sun
given: Yifan; family: Azghandi
given: Rana; family: Doroudi
given: Rozhin; family: Snodgrass
given: Sam; family: Ergun
given: Ozlem; family: Griffin
given: Jacqueline; family: Kaeli
given: David; family: Marsella
given: Stacy; family: Harteveld
given: Casper
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Agent-based simulations are widely used for modeling human behavior in various contexts. However, such simulations may oversimplify human decision-making. We propose the use of Gamettes to extract rich data on human decision-making and help in improving the human behavioral aspects of models underlying agent-based simulations. We show how Gamettes are designed and provide empirical validation for using Gamettes in an experimental supply chain setting to study human decision-making. Our results show that Gamettes are successful in capturing the expected behaviors and patterns in supply chain decisions, and, thus, we find evidence for the capability of Gamettes to inform behavioral models.
Title: Being (In)Visible: Privacy, Transparency, and Disclosure in the Self-Management of Bipolar Disorder
Authors: family: Petelka
given: Justin; family: Van Kleunen
given: Lucy; family: Albright
given: Liam; family: Murnane
given: Elizabeth; family: Voida
given: Stephen; family: Snyder
given: Jaime
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Research in personal informatics (PI) calls for systems to sup- port social forms of tracking, raising questions about how privacy can and should support intentionally sharing sensitive health information. We focus on the case of personal data related to the self-tracking of bipolar disorder (BD) in order to explore the ways in which disclosure activities intersect with other privacy experiences. While research in HCI of- ten discusses privacy as a disclosure activity, this does not reflect the ways in which privacy can be passively experienced. In this paper we broaden conceptions of privacy by defining transparency experiences and contributing factors in contrast to disclosure activities and preferences. Next, we ground this theoretical move in empirical analysis of personal narratives shared by people managing BD. We discuss the resulting emer- gent model of transparency in terms of implications for the design of socially-enabled PI systems. CAUTION: This paper contains references to experiences of mental illness, including self-harm, depression, suicidal ideation, etc.
Title: Walking by Cycling: A Novel In-Place Locomotion User Interface for Seated Virtual Reality Experiences
Authors: family: Freiwald
given: Jann Philipp; family: Ariza
given: Oscar; family: Janeh
given: Omar; family: Steinicke
given: Frank
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: We introduce VR Strider, a novel locomotion user interface (LUI) for seated virtual reality (VR) experiences, which maps cycling biomechanics of the user's legs to virtual walking movements. The core idea is to translate the motion of pedaling on a mini exercise bike to a corresponding walking animation of a virtual avatar while providing audio-based tactile feedback on virtual ground contacts. We conducted an experiment to evaluate the LUI and our novel anchor-turning rotation control method regarding task performance, spatial cognition, VR sickness, sense of presence, usability and comfort in a path-integration task. The results show that VR Strider has a significant positive effect on the participants' angular and distance estimation, sense of presence and feeling of comfort compared to other established locomotion techniques, such as teleportation and joystick-based navigation. A confirmatory study further indicates the necessity of synchronized avatar animations for virtual vehicles that rely on pedalling.
Title: Does Context in Privacy Communication Really Matter?  A Survey on Consumer Concerns and Preferences
Authors: family: Ebert
given: Nico; family: Ackermann
given: Kurt Alexander; family: Heinrich
given: Peter
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Privacy policies as a means of communicating with customers still prove ineffective. Researchers have recently suggested that a specific usage context should be considered to make privacy notices more relevant to users. To explore this approach further, we conducted an explorative online survey of privacy concerns and privacy information preferences with 642 participants for two different contexts (loyalty cards and fitness tracking). Our data shows some support for the suggestion that context may be a significant moderator of concerns and preferences. However, the corresponding effects are rather small and limited to specific concerns and information categories. In line with other research, the data supports the known hierarchy of concerns regarding unauthorized secondary use and improper data access, which seem to exceed concerns about erroneous data processing or excessive data collection in both contexts. Furthermore, participants considered information on personal rights and processing purposes more relevant than information on contact persons.