huashen218/convxai-cia-dataset huggingface dataset:
Title: TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening
Authors: family: Ding
given: Zijian; family: Kang
given: Jiawen; family: HO
given: Tinky Oi Ting; family: Wong
given: Ka Ho; family: Fung
given: Helene H; family: Meng
given: Helen; family: Ma
given: Xiaojuan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Older Adults, Backchanneling, Conversational Agents

Abstract: Conversational agents (CAs) have the great potential in mitigating the clinicians’ burden in screening for neurocognitive disorders among older adults. It is important, therefore, to develop CAs that can be engaging, to elicit conversational speech input from older adult participants for supporting assessment of cognitive abilities. As an initial step, this paper presents research in developing the backchanneling ability in CAs in the form of a verbal response to engage the speaker. We analyzed 246 conversations of cognitive assessments between older adults and human assessors, and derived the categories of reactive backchannels (e.g. “hmm”) and proactive backchannels (e.g. “please keep going”). This is used in the development of TalkTive, a CA which can predict both timing and form of backchanneling during cognitive assessments. The study then invited 36 older adult participants to evaluate the backchanneling feature. Results show that proactive backchanneling is more appreciated by participants than reactive backchanneling.
Title: ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users
Authors: family: Jain
given: Dhruv; family: Huynh Anh Nguyen
given: Khoa; family: M. Goodman
given: Steven; family: Grossman-Kahn
given: Rachel; family: Ngo
given: Hung; family: Kusupati
given: Aditya; family: Du
given: Ruofei; family: Olwal
given: Alex; family: Findlater
given: Leah; family: E. Froehlich
given: Jon
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Deaf, sound recognition, Accessibility, hard of hearing, sound awareness, deaf

Abstract: Recent advances have enabled automatic sound recognition systems for deaf and hard of hearing (DHH) users on mobile devices. However, these tools use pre-trained, generic sound recognition models, which do not meet the diverse needs of DHH users. We introduce ProtoSound, an interactive system for customizing sound recognition models by recording a few examples, thereby enabling personalized and fine-grained categories. ProtoSound is motivated by prior work examining sound awareness needs of DHH people and by a survey we conducted with 472 DHH participants. To evaluate ProtoSound, we characterized performance on two real-world sound datasets, showing significant improvement over state-of-the-art (e.g., +9.7% accuracy on the first dataset). We then deployed ProtoSound's end-user training and real-time recognition through a mobile application and recruited 19 hearing participants who listened to the real-world sounds and rated the accuracy across 56 locations (e.g., homes, restaurants, parks). Results show that ProtoSound personalized the model on-device in real-time and accurately learned sounds across diverse acoustic contexts. We close by discussing open challenges in personalizable sound recognition, including the need for better recording interfaces and algorithmic improvements.
Title: Analyzing Deaf and Hard-of-Hearing Users’ Behavior, Usage, and Interaction with a Personal Assistant Device that Understands Sign-Language Input
Authors: family: Glasser
given: Abraham; family: Watkins
given: Matthew; family: Hart
given: Kira; family: Lee
given: Sooyeon; family: Huenerfauth
given: Matt
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Accessibility, Sign Language, Deaf and Hard of Hearing, Personal Assistants

Abstract: As voice-based personal assistant technologies proliferate, e.g., smart speakers in homes, and more generally as voice-control of technology becomes increasingly ubiquitous, new accessibility barriers are emerging for many Deaf and Hard of Hearing (DHH) users. Progress in sign-language recognition may enable devices to respond to sign-language commands and potentially mitigate these barriers, but research is needed to understand how DHH users would interact with these devices and what commands they would issue. In this work, we directly engage with the DHH community, using a Wizard-of-Oz prototype that appears to understand American Sign Language (ASL) commands. Our analysis of video recordings of DHH participants revealed how they woke-up the device to initiate commands, structured commands in ASL, and responded to device errors, providing guidance to future designers and researchers. We share our dataset of over 1400 commands, which may be of interest to sign-language-recognition researchers.
Title: Polite or Direct? Conversation Design of a Smart Display for Older Adults Based on Politeness Theory
Authors: family: Hu
given: Yaxin; family: Qu
given: Yuxiao; family: Maus
given: Adam; family: Mutlu
given: Bilge
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: older adults, smart displays, Conversation design, politeness theory, multimodal interaction

Abstract: Conversational interfaces increasingly rely on human-like dialogue to offer a natural experience. However, relying on dialogue involving multiple exchanges for even simple tasks can overburden users, particularly older adults. In this paper, we explored the use of politeness theory in conversation design to alleviate this burden and improve user experience. To achieve this goal, we categorized the voice interaction offered by a smart display application designed for older adults into seven major speech acts: request, suggest, instruct, comment, welcome, farewell, and repair. We identified face needs for each speech act, applied politeness strategies that best address these needs, and tested the ability of these strategies to shape the perceived politeness of a voice assistant in an online study (n = 64). Based on the findings of this study, we designed direct and polite versions of the system and conducted a field study (n = 15) in which participants used each of the versions for five days at their homes. Based on five factors merged from our qualitative findings, we identified four distinctive user personas—socially oriented follower, socially oriented leader, utility oriented follower, and utility oriented leader—that can inform personalized design of smart displays.
Title: Mixplorer: Scaffolding Design Space Exploration through Genetic Recombination of Multiple Peoples’ Designs to Support Novices’ Creativity
Authors: family: Kim
given: Kevin Gonyop; family: Davis
given: Richard Lee; family: Coppi
given: Alessia Eletta; family: Cattaneo
given: Alberto; family: Dillenbourg
given: Pierre
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: design exploration, creativity support, design support system

Abstract: The ability to consider a wide range of solutions to a design problem is a crucial skill for designers, and is a major differentiator between experts and novices. One reason for this is that novices are unaware of the full extent of the design space in which solutions are situated. To support novice designers with design space exploration, we introduce Mixplorer, a system that allows designers to take an initial design and mix it with other designs. Mixplorer differs from existing tools by supporting the exploration of ill-defined design spaces through social design space exploration. To evaluate Mixplorer, we conducted (1) an interview study with design instructors who reported that Mixplorer would “help to open the minds” of novice designers and (2) a controlled experiment with novices, finding that the design-mixing functionality of Mixplorer provided significantly better support for creativity, and that participants who mixed designs produced more novel designs.
Title: Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
Authors: family: Portenoy
given: Jason; family: Radensky
given: Marissa; family: West
given: Jevin D; family: Horvitz
given: Eric; family: Weld
given: Daniel S; family: Hope
given: Tom
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: author discovery, filter bubbles, scholarly recommendation

Abstract: Isolated silos of scientific research and the growing challenge of information overload limit awareness across the literature and hinder innovation. Algorithmic curation and recommendation, which often prioritize relevance, can further reinforce these informational “filter bubbles.” In response, we describe Bridger, a system for facilitating discovery of scholars and their work. We construct a faceted representation of authors with information gleaned from their papers and inferred author personas, and use it to develop an approach that locates commonalities and contrasts between scientists to balance relevance and novelty. In studies with computer science researchers, this approach helps users discover authors considered useful for generating novel research directions. We also demonstrate an approach for displaying information about authors, boosting the ability to understand the work of new, unfamiliar scholars. Our analysis reveals that Bridger connects authors who have different citation profiles and publish in different venues, raising the prospect of bridging diverse scientific communities.
Title: Elements of XR Prototyping: Characterizing the Role and Use of Prototypes in Augmented and Virtual Reality Design
Authors: family: Krauß
given: Veronika; family: Nebeling
given: Michael; family: Jasche
given: Florian; family: Boden
given: Alexander
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: XR, prototyping, mixed reality, interface design., virtual reality, interaction design, authoring, augmented reality

Abstract: Current research in augmented, virtual, and mixed reality (XR) reveals a lack of tool support for designing and, in particular, prototyping XR applications. While recent tools research is often motivated by studying the requirements of non-technical designers and end-user developers, the perspective of industry practitioners is less well understood. In an interview study with 17 practitioners from different industry sectors working on professional XR projects, we establish the design practices in industry, from early project stages to the final product. To better understand XR design challenges, we characterize the different methods and tools used for prototyping and describe the role and use of key prototypes in the different projects. We extract common elements of XR prototyping, elaborating on the tools and materials used for prototyping and establishing different views on the notion of fidelity. Finally, we highlight key issues for future XR tools research.
Title: StoryDrawer: A Child–AI Collaborative Drawing System to Support Children's Creative Visual Storytelling
Authors: family: Zhang
given: Chao; family: Yao
given: Cheng; family: Wu
given: Jiayi; family: Lin
given: Weijia; family: Liu
given: Lijuan; family: Yan
given: Ge; family: Ying
given: Fangtian
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Creativity support tool, Child–AI collaboration, Children, Drawing, Visual storytelling, Co-creative system

Abstract: Visual storytelling is a new approach to creative expression based on verbal and figural creativity. The keys to visual storytelling are narrating and drawing over a period of time, which can be beneficial but also demanding on creativity for children. Informed by need-finding investigations, we developed StoryDrawer, a co-creative system that supports visual storytelling for children aged 6–10 years through collaborative drawing between children and artificial intelligence (AI). The system includes a context-based voice agent and two AI-driven collaborative strategies: the real-time transformation of children's telling into drawings, and the generation of abstract sketches with semantic similarity to existing story content. We conducted a 2 × 2 study with 64 children to evaluate the efficacy of StoryDrawer by varying the two strategies in four conditions. The results suggest that StoryDrawer provoked participants’ creative and elaborate ideas and contributed to their creative outcomes during an engaging visual storytelling experience.
Title: Understanding the Situated Practices of School Technology Leaders in the Early Stages of Educational Technology Adoption
Authors: family: Ibrahim
given: Seray; family: Vasalou
given: Asimina; family: Benton
given: Laura
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Adoption, Technology Leader, Situated Practice, Educational Technology

Abstract: School-driven technological innovation has the potential to positively impact on classroom practice, yet it can also be disrupted by incompatibilities between the existing school ecology and new educational technologies. To help mitigate this disruption a particular staff member often takes on a facilitative leadership role to champion new technology initiatives. However little is known about how this technology leader role impacts on the adoption of new technologies in the classroom. Taking a situated lens, we embarked on a multiple case study of four schools who were aiming to adopt a new literacy game in the classroom. Through interviews with technology leaders and fieldnotes from our site observations, we systematically analysed their actions and concerns over two academic terms. This highlighted an overwhelming concern with managing the material dimension of the technology, teacher agency and division of labour and mechanisms for communication and monitoring. Our findings raise important considerations for HCI researchers seeking to embed their technologies into practice alongside recommendations for supporting leaders tasked with coordinating this process.
Title: Glancee: An Adaptable System for Instructors to Grasp Student Learning Status in Synchronous Online Classes
Authors: family: Ma
given: Shuai; family: Zhou
given: Taichang; family: Nie
given: Fei; family: Ma
given: Xiaojuan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Affective Computing, Videoconferencing, Human-centered Design, Online Class, E-Learning

Abstract: Synchronous online learning has become a trend in recent years. However, instructors often face the challenge of inferring audiences’ reactions and learning status without seeing their faces in video feeds, which prevents instructors from establishing connections with students. To solve this problem, based on a need-finding survey with 67 college instructors, we propose Glancee, a real-time interactive system with adaptable configurations, sidebar-based visual displays, and comprehensive learning status detection algorithms. Then, we conduct a within-subject user study in which 18 college instructors deliver lectures online with Glancee and two baselines, EngageClass and ZoomOnly. Results show that Glancee can effectively support online teaching and is perceived to be significantly more helpful than the baselines. We further investigate how instructors’ emotions, behaviors, attention, cognitive load, and trust are affected during the class. Finally, we offer design recommendations for future online teaching assistant systems.
Title: Can Anybody Help Me?: Using Community Help Desk Call Records to Examine the Impact of Digital Divides During a Global Pandemic
Authors: family: Biehl
given: Jacob T.; family: Farzan
given: Rosta; family: Zhou
given: Yingfan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: pandemic response, digital divides, ICT use

Abstract: The COVID-19 global pandemic has ignited lightning-fast adoption of digital tools in our communities, organizations, and systems of governance. It also inspired an unprecedented level of providing access to digital devices to communities and individuals lacking prior access. The situation and circumstances provide a unique opportunity to understand digital divides through a new lens. In this work, we contribute a contemporaneous understanding of digital divides beyond access by qualitatively analyzing over 300 calls made to a volunteer-based community IT help desk. We highlight the intertwined network of challenges leading to ecosystem digital divides and contribute new insights into how the complex socio-technical systems of practice, and the tools to support them, must adapt to bridge digital divides more effectively.
Title: “Hartal (Strike) Happens Here Everyday”: Understanding Impact of Disruption on Education in Kashmir
Authors: family: Wani
given: Asra Sakeen; family: Singh
given: Divyanshu Kumar; family: Singh
given: Pushpendra
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Education, Disruption, Trust and Uncertainty, Culture, Conflict, Technology, Kashmir, Internet shutdown, India.

Abstract: Sustainable Development Goal 4 promotes inclusive and equitable quality education and lifelong learning opportunities for all. However, regions with ongoing socio-political conflict suffer disruption to education and learning. We situate our work in Kashmir, India, affected by socio-political conflict for more than three decades. We did multiple field visits and conducted 21 semi-structured interviews with parents, teachers, students, and members of a non-government organization that runs Community Learning Centers in Kashmir. Our findings present the barriers in education caused by disruption and the role of community learning centers in overcoming the barriers within these contextual constraints. Further, we discuss engaging researchers and policymakers to leverage human infrastructure, embedding uncertainty into the design, infrastructuring trust, and content usability to develop solutions to make education more accessible. Despite significant research in HCI and Education, research in this particular context is under-explored, and our work contributes to filling this gap.
Title: ”I happen to be one of 47.8%”: Social-Emotional and Data Reasoning in Middle School Students’ Comics about Friendship
Authors: family: Vacca
given: Ralph; family: DesPortes
given: Kayla; family: Tes
given: Marian; family: Silander
given: Megan; family: Matuk
given: Camillia; family: Amato
given: Anna; family: Woods
given: Peter J.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: data comics, data literacy, data reasoning, math education, social-emotional learning, arts education

Abstract: Effective data literacy instruction requires that learners move beyond understanding statistics to being able to humanize data through a contextual understanding of argumentation and reasoning in the real-world. In this paper, we explore the implementation of a co-designed data comic unit about adolescent friendships. The 7th grade unit involved students analyzing data graphs about adolescent friendships and crafting comic narratives to convey perspectives on that data. Findings from our analysis of 33 student comics, and interviews with two teachers and four students, show that students engaged in various forms of data reasoning and social-emotional reasoning. These findings contribute an understanding of how students make sense of data about personal, everyday experiences; and how an arts-integrated curriculum can be designed to support their mutual engagement in both data and social-emotional reasoning.
Title: News Informatics: Engaging Individuals with Data-Rich News Content through Interactivity in Source, Medium, and Message
Authors: family: Sundar
given: S. Shyam; family: Jia
given: Haiyan; family: Bellur
given: Saraswathi; family: Oh
given: Jeeyun; family: Kim
given: Hyang-Sook
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: News Informatics, Website Interactivity, User Engagement

Abstract: This paper introduces the concept of “news informatics” to refer to journalistic presentation of big data in online sites. For users to be engaged with such data-driven public information, it is important to incorporate interactive tools so that each person can extract personally relevant information. Drawing upon a communication model of interactivity, we designed a data-rich site with three different types of interactive features—namely, modality interactivity, message interactivity, and source interactivity—and empirically tested their relative and combined effects on user engagement and user experience with a 2 (modality) × 3 (source) × 2 (message) field experiment (N =166). Findings shed light on how interface designers, online news editors and journalists can maximize user engagement with data-rich news content. Certain interactivity combinations are found to be better than others, with a structural equation model (SEM) revealing the underlying theoretical mechanisms and providing implications for the design of news informatics.
Title: “Merging Results Is No Easy Task”: An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners
Authors: family: Kuang
given: Emily; family: Jin
given: Xiaofu; family: Fan
given: Mingming
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: UX, User experience, Collaboration, Survey, Data analysis, Usability testing

Abstract: Analysis is a key part of usability testing where UX practitioners seek to identify usability problems and generate redesign suggestions. Although previous research reported how analysis was conducted, the findings were typically focused on individual analysis or based on a small number of professionals in specific geographic regions. We conducted an online international survey of 279 UX practitioners on their practices and challenges while collaborating during data analysis. We found that UX practitioners were often under time pressure to conduct analysis and adopted three modes of collaboration: independently analyze different portions of the data and then collaborate, collaboratively analyze the session with little or no independent analysis, and independently analyze the same set of data and then collaborate. Moreover, most encountered challenges related to lack of resources, disagreements with colleagues regarding usability problems, and difficulty merging analysis from multiple practitioners. We discuss design implications to better support collaborative data analysis.
Title: Constrained Life in a Multifarious Environment - A Closer Look at the Lives of Autistic College Students
Authors: family: Ahmed
given: Shameem; family: Monsur Hossain
given: Md; family: Pragner
given: Cody; family: Kimball
given: Mitch; family: Shrivastava
given: Ashima; family: Gildner
given: Joseph; family: McCulloch
given: Sean; family: Sharmin
given: Moushumi
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Abstract: For many students, attending college is a dramatic but necessary change. To gain a better understanding of experiences that are unique to autistic college students, we conducted a mixed-method study with 20 students (10 autistic and 10 neurotypical). We collected physiological, contextual, experience, and environmental data from their natural environment using Fitbit and smartphones. We found that stress patterns, emotional states, and physical states are similar for both groups. Our autistic participants prioritized academic success over everything else, often intentionally confining their movements among academic, resident, and work locations to engage themselves with academic work as much as possible. They had a small number of friends, always preferring quality over quantity and sometimes regarding friends as close as family members. To maintain a better social life, they extensively used social media. They slept more than neurotypical participants per day; however, they experienced lower sleep quality.