huashen218/convxai-cia-dataset huggingface dataset:
Title: A Virtual Counselor for Breast Cancer Genetic Counseling: Adaptive Pedagogy Leads to Greater Knowledge Gain
Authors: family: Zhou
given: Shuo; family: Bickmore
given: Timothy
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Embodied conversational agent, Risk communication, Health education, Pedagogical agent, Genetic counseling, Intelligent tutoring system

Abstract: We describe an automated, multimodal embodied conversational agent that plays the role of a genetic counselor, designed to communicate breast cancer risk and the recommended medical guidelines to women. The counselor's dialogue is driven by intelligent tutoring systems techniques, risk communication principles, and information processing theories. The virtual counselor dynamically tailors its counseling based on user traits, preferred information processing methods, and dynamic comprehension assessments. We conducted a between-subject evaluation study with 30 women, comparing the adaptive counselor to a non-adaptive version of the counselor and a control condition. Women in the adaptive condition demonstrated a significantly greater increase in breast cancer genetics knowledge compared to women in the other conditions. Our results demonstrate the effectiveness of the multidimensional adaptation mechanisms for improving cancer genetic risk communication.
Title: Investigating Culturally Responsive Design for Menstrual Tracking and Sharing Practices Among Individuals with Minimal Sexual Education
Authors: family: Lin
given: Georgianna E; family: Mynatt
given: Elizabeth D; family: Kumar
given: Neha
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Menstrual tracking, culturally responsive design, health equity, menstrual health

Abstract: Human-Computer Interaction (HCI) research on menstrual tracking has emphasized the need for more inclusive design of mechanisms for tracking and sharing information on menstruation. We investigate menstrual tracking and data-sharing attitudes and practices in educated, young (20-30 years old) menstruating individuals based in the United States, with self-identified minimal menstrual education backgrounds. Using interviews (N=18), a survey (N=62), and participatory design (N=7), we find that existing mechanisms for tracking and sharing data on menstruation are not adequately responsive to the needs of those who seek relevant menstrual education, are not in the sexual majority, and/or wish to customize what menstrual data they share and with whom. Our analysis highlights a design gap for participants with minimal sexual education backgrounds who wish to better understand their cycles. We also contribute a deepened understanding of structural health inequities that impact menstrual tracking and sharing practices, making recommendations for technology-mediated menstrual care.
Title: Virtual Feed: Design and Evaluation of a Virtual Reality Simulation Addressing the Lived Experience of Breastfeeding
Authors: family: Tang
given: Kymeng; family: Gerling
given: Kathrin; family: Geurts
given: Luc
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: co-design, qualitative research, breastfeeding, virtual reality

Abstract: Breastfeeding can be challenging, but it is difficult for antenatal education to convey issues associated with the lived experience of breastfeeding. In our work, we explore the potential of interactive simulations to support antenatal education, and present Virtual Feed, a Virtual Reality breastfeeding simulation for parents-to-be developed following a three-step process. (1) We created an experience prototype that features basic VR scenarios and a tangible baby, (2) we engaged in design sessions with 19 parents and parents-to-be to derive design implications to further refine the simulation, and (3) we evaluated the system through case studies to examine the perspectives of parents and parents-to-be on the simulation. Our results show that the simulation successfully engaged users and sparked curiosity, while also encouraging reflection about the challenges of breastfeeding. On this basis, we discuss challenges for the design of simulations with the purpose of supplementing antenatal education.
Title: Examining AI Methods for Micro-Coaching Dialogs
Authors: family: Mitchell
given: Elliot; family: Elhadad
given: Noemie; family: Mamykina
given: Lena
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Health coaching, self-management, conversational agents, reinforcement learning, chatbots

Abstract: Conversational interaction, for example through chatbots, is well-suited to enable automated health coaching tools to support self-management and prevention of chronic diseases. However, chatbots in health are predominantly scripted or rule-based, which can result in a stagnant and repetitive user experience in contrast with more dynamic, data-driven chatbots in other domains. Consequently, little is known about the tradeoffs of pursuing data-driven approaches for health chatbots. We examined multiple artificial intelligence (AI) approaches to enable micro-coaching dialogs in nutrition — brief coaching conversations related to specific meals, to support achievement of nutrition goals — and compared, reinforcement learning (RL), rule-based, and scripted approaches for dialog management. While the data-driven RL chatbot succeeded in shorter, more efficient dialogs, surprisingly the simplest, scripted chatbot was rated as higher quality, despite not fulfilling its task as consistently. These results highlight tensions between scripted and more complex, data-driven approaches for chatbots in health.
Title: What are you thinking?: Using CBT and Storytelling to Improve Mental Health Among College Students
Authors: family: Hamid
given: Aleesha; family: Arshad
given: Rabiah; family: Shahid
given: Suleman
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: storytelling, mental health, CBT, mHealth application

Abstract: Depression and anxiety among college students have been on the rise globally. Cognitive Behavioural Therapy has emerged as an empirically reinforced and effective treatment. However, factors like cost, lack of resources, misguided prioritization and stigmatization of mental health issues in the Global South limit students’ access to psychotherapy. While technology can bridge this gap, research shows current self-guided mHealth apps for CBT are not always evidence-based and have limited efficacy compared to therapist-guided alternatives. In this paper, we explore whether interactive storytelling and other gamification mechanisms can increase the efficacy of a self-guided mHealth app, while drawing from empirically supported CBT protocols. We designed an mHealth application with contextualised storylines to help students learn psychological concepts and better identify the negative patterns in their thoughts. We present the results of a 3-arm randomized controlled trial conducted to assess the effect of this application compared to active and inactive control conditions.
Title: TypeOut: Leveraging Just-in-Time Self-Affirmation for Smartphone Overuse Reduction
Authors: family: Xu
given: Xuhai; family: Zou
given: Tianyuan; family: Xiao
given: Han; family: Li
given: Yanzhang; family: Wang
given: Ruolin; family: Yuan
given: Tianyi; family: Wang
given: Yuntao; family: Shi
given: Yuanchun; family: Mankoff
given: Jennifer; family: Dey
given: Anind K
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: intervention design, Smartphone overuse, self-affirmation

Abstract: Smartphone overuse is related to a variety of issues such as lack of sleep and anxiety. We explore the application of Self-Affirmation Theory on smartphone overuse intervention in a just-in-time manner. We present TypeOut, a just-in-time intervention technique that integrates two components: an in-situ typing-based unlock process to improve user engagement, and self-affirmation-based typing content to enhance effectiveness. We hypothesize that the integration of typing and self-affirmation content can better reduce smartphone overuse. We conducted a 10-week within-subject field experiment (N=54) and compared TypeOut against two baselines: one only showing the self-affirmation content (a common notification-based intervention), and one only requiring typing non-semantic content (a state-of-the-art method). TypeOut reduces app usage by over 50%, and both app opening frequency and usage duration by over 25%, all significantly outperforming baselines. TypeOut can potentially be used in other domains where an intervention may benefit from integrating self-affirmation exercises with an engaging just-in-time mechanism.
Title: Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD
Authors: family: Evans
given: Hayley Irene; family: Deeter
given: Catherine R; family: Zhou
given: Jiawei; family: Do
given: Kimberly; family: Sherrill
given: Andrew M; family: Arriaga
given: Rosa I.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Veterans, Text messages, Post-Traumatic Stress Disorder, Trusted Others, Social Feedback

Abstract: Past research has demonstrated that accounts of trusted others can provide additional context into real world behavior relevant to clinical decision-making and patient engagement. Our research investigates the Social Sensing System, a concept which leverages trusted other feedback for veterans in therapy for PTSD. In our two phase study, we work with 10 clinicians to develop text-message queries and realistic scenarios to present to patients and trusted others. We then present the results in the form of a storyboard to 10 veterans with PTSD and 10 trusted others and gather feedback via semi-structured interview and survey. We find that while trusted other feedback may provide a unique and useful perspective, key design features and considerations of underlying relationships must be considered. We present our findings and utilize the mechanisms and conditions framework to assess the power dynamics of systems such as social sensing in the mental health realm.
Title: Digital Emotion Regulation in Everyday Life
Authors: family: Smith
given: Wally; family: Wadley
given: Greg; family: Webber
given: Sarah; family: Tag
given: Benjamin; family: Kostakos
given: Vassilis; family: Koval
given: Peter; family: Gross
given: James J.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Abstract: Two decades of focus on User Experience has yielded an array of digital technologies that help people experience, understand and share emotions. Although the effects of specific technologies upon emotion have been well studied, less is known about how people actively appropriate and combine the full range of devices, apps and services at their disposal to deliberately manage emotions in everyday life. We conducted a one-week diary study in which 23 adults recorded interactions between their emotions and technology use. They reported using a diverse range of emotion-shaping tools and strategies as part of coping with daily challenges, managing routines, and pursuing work and social goals. We analyse these data in the light of psychological theories of emotion. Our findings point to the significance of digital emotion regulation as a powerful perspective to inform wider debates about the impacts of technology on social and emotional well-being.
Title: “Guilty of Talking Too Much”: How Psychotherapists Gamify Therapy
Authors: family: Tochilnikova
given: Elina; family: Patnaik
given: Amrit; family: Alsebayel
given: Ghada; family: Narayan
given: Uttkarsh; family: Coeytaux
given: Andrew; family: Ramdin
given: Valeria; family: Kim
given: Miso; family: Harteveld
given: Casper
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: research-through-design, digital psychotherapy, meta-design, anxiety disorder, Game design, mental health, games for health

Abstract: Traditionally, game designers have driven the development process of psychotherapeutic games with psychotherapists playing a consultant role. In contrast, our study explores psychotherapists independently designing digitally gamified psychotherapy. Our workshop participants consisted of six psychotherapists who created gamified digital therapies with the design prompt of anxiety disorder. We analyze the resulting six prototypes from a game design and psychotherapy perspective. We present insights into strategies for digitally gamifying therapy and identify challenges and opportunities for the future of gamified psychotherapy, grounded in the experiences of psychotherapists designing such therapies. This study also reflects on the use of user-friendly development tools for independently curating gamified digital therapies, especially by non-technical users such as psychotherapists.
Title: Exploring Bystanders’ Privacy Concerns with Smart Homes in Jordan
Authors: family: Albayaydh
given: Wael S; family: Flechais
given: Ivan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Smart Home, Privacy, Smart Device, Bystanders

Abstract: Smart homes continue to raise concerns about privacy and encroachment of businesses into intimate spaces. Prior research has focused on families and device owners in western contexts (Europe and North America), and has identified the importance of bystanders: individuals who are subjected to smart device use of others. Given the cultural and contextual aspects of accommodating bystanders, we identify a gap where bystanders in non-western societies have been insufficiently researched. To address this we conduct 20 interviews with domestic workers and household employers in Jordan, exploring privacy attitudes and practices. Our analysis uncovers a complex interplay between religious and social norms; legal and regulatory perspectives on privacy; and tensions between households and their domestic workers. We explore issues arising from smart homes coexisting as a residence and workplace, and highlight how workplace protections are ill-suited. We structure our findings to help inform public awareness, policy makers, manufacturers, and future research.
Title: Hey Alexa, Who Am I Talking to?: Analyzing Users’ Perception and Awareness Regarding Third-party Alexa Skills
Authors: family: Sabir
given: Aafaq; family: Lafontaine
given: Evan; family: Das
given: Anupam
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Third-party skills, Security indicators, Voice assistant

Abstract: The Amazon Alexa voice assistant provides convenience through automation and control of smart home appliances using voice commands. Amazon allows third-party applications known as skills to run on top of Alexa to further extend Alexa’s capability. However, as multiple skills can share the same invocation phrase and request access to sensitive user data, growing security and privacy concerns surround third-party skills. In this paper, we study the availability and effectiveness of existing security indicators or a lack thereof to help users properly comprehend the risk of interacting with different types of skills. We conduct an interactive user study (inviting active users of Amazon Alexa) where participants listen to and interact with real-world skills using the official Alexa app. We find that most participants fail to identify the skill developer correctly (i.e., they assume Amazon also develops the third-party skills) and cannot correctly determine which skills will be automatically activated through the voice interface. We also propose and evaluate a few voice-based skill type indicators, showcasing how users would benefit from such voice-based indicators.
Title: Users Can Deduce Sensitive Locations Protected by Privacy Zones on Fitness Tracking Apps
Authors: family: Mink
given: Jaron; family: Yuile
given: Amanda Rose; family: Pal
given: Uma; family: Aviv
given: Adam J; family: Bates
given: Adam
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: data sharing, Fitness trackers, online survey, privacy, privacy zones

Abstract: Fitness tracking applications allow athletes to record and share their exercises online, including GPS routes of their activities. However, sharing mobility data potentially raises real-world privacy and safety risks. One strategy to mitigate that risk is a “Privacy Zone,” which conceals portions of the exercise routes that fall within a certain radius of a user-designated sensitive location. A pressing concern is whether privacy zones are an effective deterrent against common attackers, such as a bike thief that carefully scrutinizes online exercise activities in search of their next target. Further, little is known about user perceptions of privacy zones or how they fit into the broader landscape of available privacy precautions. This work presents an online user study (N=603) that investigates the privacy concerns of fitness tracking users and evaluates the efficacy of privacy zones. Participants were first asked about their privacy behaviors with respect to fitness tracking applications. Next, participants completed an interactive task in which they attempted to deduce hidden locations protected by a privacy zone; we manipulated the number of displayed exercise activities that interacted with the privacy zone, as well as its size. Finally, participants were asked further questions about their impressions of privacy zones and use of other privacy precautions. We found that participants successfully inferred protected locations; for the most common privacy zone size, 68% of guesses fell within 50 meters of the hidden location when participants were shown just 3 activities. Further, we found that participants who viewed 3 activities were more confident about their success in the task compared to participants who viewed 1 activity. Combined, these results indicate that users’ privacy-sensitive locations are at risk even when using a privacy zone. We conclude by considering the implications of our findings on related privacy features and discuss recommendations to fitness tracking users and services to improve the privacy and safety of fitness trackers.
Title: Exploring the Needs of Users for Supporting Privacy-Protective Behaviors in Smart Homes
Authors: family: Jin
given: Haojian; family: Guo
given: Boyuan; family: Roychoudhury
given: Rituparna; family: Yao
given: Yaxing; family: Kumar
given: Swarun; family: Agarwal
given: Yuvraj; family: Hong
given: Jason I.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Smart Home, privacy protective behaviors

Abstract: In this paper, we studied people’s smart home privacy-protective behaviors (SH-PPBs), to gain a better understanding of their privacy management do’s and don’ts in this context. We first surveyed 159 participants and elicited 33 unique SH-PPB practices, revealing that users heavily rely on ad hoc approaches at the physical layer (e.g., physical blocking, manual powering off). We also characterized the types of privacy concerns users wanted to address through SH-PPBs, the reasons preventing users from doing SH-PPBs, and privacy features they wished they had to support SH-PPBs. We then storyboarded 11 privacy protection concepts to explore opportunities to better support users’ needs, and asked another 227 participants to criticize and rank these design concepts. Among the 11 concepts, Privacy Diagnostics, which is similar to security diagnostics in anti-virus software, was far preferred over the rest. We also witnessed rich evidence of four important factors in designing SH-PPB tools, as users prefer (1) simple, (2) proactive, (3) preventative solutions that can (4) offer more control.
Title: “All that You Touch, You Change”: Expanding the Canon of Speculative Design Towards Black Futuring
Authors: family: Harrington
given: Christina N.; family: Klassen
given: Shamika; family: Rankin
given: Yolanda A.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: speculative design, design canon, Afrofuturism, futuring

Abstract: Traditional approaches to technology design have historically ignored Blackness in both who engages and conceptualizes future technologies. Design contributions of groups marginalized along race and class are often othered, and rarely considered the design standard. While frameworks have emerged to encourage attention to gender and social justice in design, little work has acknowledged evidence of the Black imaginary in this process. The current canon of design defines futuring and speculation as stemming from a narrow view of science fiction, one which does not include Black futurist perspectives. In this essay, we expand the canon of design by arguing that frameworks such as Afrofuturism, Afrofuturist feminism, and Black feminism be considered instrumental in design’s imagining of our future technological landscape. We contribute to the larger conversation of who gets to future in design, suggesting a dialogic relationship between those who conceptualize design and those who consider design’s societal impact.
Title: Seamless Visions, Seamful Realities: Anticipating Rural Infrastructural Fragility in Early Design of Digital Agriculture
Authors: family: Rubambiza
given: Gloire; family: Sengers
given: Phoebe; family: Weatherspoon
given: Hakim
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: critical technical practice, digital agriculture, values in design, computer networking, infrastructure, seamlessness

Abstract: Rural infrastructure is known to be more prone to breakdown than urban infrastructure. This paper explores how the fragility of rural infrastructure is reproduced through the process of engineering design. Building on values in design, we examine how eventual use is anticipated by engineering researchers building on emerging infrastructure for digital agriculture (DA). Our approach combines critically reflective technical systems-building with interviews with other practitioners to understand and address moments early in the design process where the eventual effects of DA systems may be being built-in. Our findings contrast researchers’ visions of seamless farming technologies with the seamful realities of their work to produce them. We trace how, when anticipating future use, the seams that researchers themselves experience disappear, other seams are hidden from view by institutional support, and seams end users may face are too distant to be in sight. We develop suggestions for the design of these technologies grounded in a more artful management of seamfulness and seamlessness during the process of design and development.