huashen218/convxai-cia-dataset huggingface dataset:
Title: “A Voice that Suits the Situation”: Understanding the Needs and Challenges for Supporting End-User Voice Customization
Authors: family: Byeon
given: Hyeon Jeong; family: Lee
given: Chaerin; family: Lee
given: Jeemin; family: Oh
given: Uran
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: voice customization, voice quality, voice perception

Abstract: Although there is a potential demand for customizing voices, most customization is limited to the visual appearance of a figure (e.g., avatars). To better understand the users’ need, we first conducted an online survey with 104 participants. Then we conducted a semi-structured interview with a prototype with 14 participants to identify design considerations for supporting voice customization. The results show that there is a desire for voice customization especially for non-face-to-face conversations with someone unfamiliar. In addition, the findings revealed that different voices are favored for different contexts from a better version of one’s own voice for improving delivery to a completely different voice for securing identity. As future work, we plan to extend this study by investigating voice synthesis techniques for end-users who wish to design their own voices for various contexts.
Title: Unpacking Intention and Behavior: Explaining Contact Tracing App Adoption and Hesitancy in the United States
Authors: family: Jamieson
given: Jack; family: Epstein
given: Daniel A.; family: Chen
given: Yunan; family: Yamashita
given: Naomi
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Contact tracing, technology adoption, intention-behavior gap, COVID-19, public health

Abstract: COVID-19 has demonstrated the importance of digital contact tracing apps in reducing the spread of disease. Despite people widely expressing interest in using contact tracing apps, actual installation rates have been low in many parts of the world. Prior studies suggest that decisions to use these apps are largely shaped by pandemic beliefs, social influences, perceived benefits and harms, and other factors. However, there is a gap in understanding what factors motivate intention, but not subsequent behavior of actual adoption. Reporting on a survey of 290 U.S. residents, we disentangle the intention-behavior gap by investigating factors associated with installing a contact tracing app from those associated with intending to install, but not actually installing. Our results suggest that social norms can be leveraged to span the intention-behavior gap, and that a privacy paradox may influence people’s adoption decisions. We present recommendations for technologies that enlist individuals to address collective challenges.
Title: Flavorium: An Exploration of Flavobacteria’s Living Aesthetics for Living Color Interfaces
Authors: family: Groutars
given: Eduard Georges; family: Risseeuw
given: Carmen Clarice; family: Ingham
given: Colin; family: Hamidjaja
given: Raditijo; family: Elkhuizen
given: Willemijn S.; family: Pont
given: Sylvia C.; family: Karana
given: Elvin
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Biological HCI, Living Aesthetics, Iridescent Color, Living Media Interfaces, Flavobacteria

Abstract: Flavobacteria, which can be found in marine environments, are able to grow in highly organized colonies producing vivid iridescent colorations. While much is known about the biology of these organisms, their design potential as responsive media in user interfaces has not been explored. Our paper aims at bridging this gap by providing insights into the type, degree, and duration of change in Flavobacteria’s expression, i.e., their living aesthetics. We present a tool to capture and characterize these changes concerning form, texture and iridescent color. To support the long-term study of their living aesthetics, we designed Flavorium. This bio-digital artifact provides the necessary habitat conditions for Flavobacteria to thrive for a month. Granting insights into the responsive behavior of this organism, this work presents a design space, vocabulary, and application concepts to inspire HCI and design scholars to investigate the complex temporal qualities of living media for future user interfaces.
Title: This App is not for Me: Using Mobile and Wearable Technologies to Improve Adolescents’ Smartphone Addiction through the Sharing of Personal Data with Parents
Authors: family: Chen
given: Pin-Chieh; family: Hung
given: Min-Wei; family: Lu
given: Hsueh-Sung; family: Yuan
given: Chien Wen (Tina); family: Bi
given: Nanyi; family: Lee
given: Wan-Chen; family: Huang
given: Ming-Chyi; family: You
given: Chuang-Wen
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Smartphone addiction, lifestyle factors, self-monitoring, family support

Abstract: Smartphone addiction refers to the problematic use of smartphones, which can negatively impact one’s quality of life and even health. We conducted a two-week technology probe study to explore the use of technologies aimed at improving smartphone addiction among seven dyads of adolescents and their parents. Interviews conducted during and after the probe study revealed that manually reporting lifestyle and well-being data could provide motivation to improve one’s lifestyle and well-being by moderating phone use. Sharing smartphone use data with parents was also shown to head off negative communication loops and foster opportunities to overcome the smartphone addiction.
Title: Strategies for Fostering a Genuine Feeling of Connection in Technologically Mediated Systems
Authors: family: Stepanova
given: Ekaterina R.; family: Desnoyers-Stewart
given: John; family: Höök
given: Kristina; family: Riecke
given: Bernhard E.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: review, design considerations, intimacy, genuine connection, social connection, belonging, design strategies

Abstract: Human connection is essential for our personal well-being and a building block for a well-functioning society. There is a prominent interest in the potential of technology for mediating social connection, with a wealth of systems designed to foster the feeling of connection between strangers, friends, and family. By surveying this design landscape we present a transitional definition of mediated genuine connection and nine design strategies embodied within 50 design artifacts: affective self-disclosure, reflection on unity, shared embodied experience, transcendent emotions, embodied metaphors, interpersonal distance, touch, provocations, and play. In addition to drawing on design practice-based knowledge we also identify underlying psychological theories that can inform these strategies. We discuss design considerations pertaining to sensory modalities, vulnerability–comfort trade-offs, consent, situatedness in context, supporting diverse relationships, reciprocity, attention directedness, pursuing generalized knowledge, and questions of ethics. We hope to inspire and enrich designers’ understanding of the possibilities of technology to better support a mediated genuine feeling of connection.
Title: Still Creepy After All These Years:The Normalization of Affective Discomfort in App Use
Authors: family: Seberger
given: John S.; family: Shklovski
given: Irina; family: Swiatek
given: Emily; family: Patil
given: Sameer
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: creepy, data practices, mobile apps, affect, privacy, privacy paradox, affective discomfort, creepiness

Abstract: It is not well understood why people continue to use privacy-invasive apps they consider creepy. We conducted a scenario-based study (n = 751) to investigate how the intention to use an app is influenced by affective perceptions and privacy concerns. We show that creepiness is one facet of affective discomfort, which is becoming normalized in app use. We found that affective discomfort can be negatively associated with the intention to use a privacy-invasive app. However, the influence is mitigated by other factors, including data literacy, views regarding app data practices, and ambiguity of the privacy threat. Our findings motivate a focus on affective discomfort when designing user experiences related to privacy-invasive data practices. Treating affective discomfort as a fundamental aspect of user experience requires scaling beyond the point where the thumb meets the screen and accounting for entrenched data practices and the sociotechnical landscape within which the practices are embedded.
Title: Reflective Spring Cleaning: Using Personal Informatics to Support Infrequent Notification Personalization
Authors: family: Janzen
given: Izabelle F; family: McGrenere
given: Joanna
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: notifications, visualization, interruption, personalization, personal informatics

Abstract: Distracting mobile notifications are a high-profile problem but previous research suggests notification management tools are underused because of the barriers users face in relation to the perceived benefits. We posit that users might be more motivated to personalize if they could view contextual data for how personalizations would have impacted their recent notifications. We propose the ‘Reflective Spring Cleaning’ approach to support notification management through infrequent personalization with visualization of collected notification data. To simplify and contextualize key trends in a user’s notifications, we framed these visualizations within a novel who-what-when data abstraction. We evaluated it through a four-week longitudinal study: 21 participants logged their notifications before and after a personalization session that included suggestions for notification management contextualized against visualizations of their recent notifications. A debriefing interview described their new experience after two more weeks of logging. Our approach encouraged users to critically reflect on their notifications, which frequently inspired them to personalize and improved the experience of the majority.
Title: “I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work
Authors: family: Kaur
given: Harmanpreet; family: McDuff
given: Daniel; family: Williams
given: Alex C.; family: Teevan
given: Jaime; family: Iqbal
given: Shamsi T.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: workplace, Affect, emotion labeling

Abstract: With the growing prevalence of affective computing applications, Automatic Emotion Recognition (AER) technologies have garnered attention in both research and industry settings. Initially limited to speech-based applications, AER technologies now include analysis of facial landmarks to provide predicted probabilities of a common subset of emotions (e.g., anger, happiness) for faces observed in an image or video frame. In this paper, we study the relationship between AER outputs and self-reports of affect employed by prior work, in the context of information work at a technology company. We compare the continuous observed emotion output from an AER tool to discrete reported affect obtained via a one-day combined tool-use and diary study (N = 15). We provide empirical evidence showing that these signals do not completely align, and find that using additional workplace context only improves alignment up to 58.6%. These results suggest affect must be studied in the context it is being expressed, and observed emotion signal should not replace internal reported affect for affective computing applications.
Title: Captivate! Contextual Language Guidance for Parent–Child Interaction
Authors: family: Kwon
given: Taeahn; family: Jeong
given: Minkyung; family: Ko
given: Eon-Suk; family: Lee
given: Youngki
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: context-aware systems, language acquisition, cultural diversity, early childhood, parent–child interaction

Abstract: To acquire language, children need rich language input. However, many parents find it difficult to provide children with sufficient language input, which risks delaying their language development. To aid these parents, we design Captivate!, the first system that provides contextual language guidance to parents during play. Our system tracks both visual and spoken language cues to infer targets of joint attention, enabling the real-time suggestion of situation-relevant phrases for the parent. We design our system through a user-centered process with immigrant families—a highly vulnerable yet understudied population—as well as professional speech language therapists. Next, we evaluate Captivate! on parents with children aged 1–3 to observe improvements in responsive language use. We share insights into developing contextual guidance technology for linguistically diverse families1.
Title: Janus Screen: Screen with Switchable Projection Surfaces Using Wire Grid Polarizer
Authors: family: Yamada
given: Wataru; family: Korogi
given: Sawa; family: Ochiai
given: Keiichi
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: spatial augmented reality, projection screen, ubiquitous computing

Abstract: In this paper, we present a novel screen system employing polarizers that allow switching of the projection surface to the front, rear, or both sides using only two projectors on one side. In this system, we propose a method that employs two projectors equipped with polarizers and a multi-layered screen comprising an anti-reflective plate, transparent screen, and wire grid polarizer. The multi-layered screen changes whether the projected image is shown on the front or rear side of the screen depending on the polarization direction of the incident light. Hence, the proposed method can project images on the front, rear, or both sides of the screen by projecting images from either or both projectors using polarizers. In addition, the proposed method can be easily deployed by simply attaching multiple optical films. We implement a prototype and confirm that the proposed method can selectively switch the projection surface.
Title: Prediction for Retrospection: Integrating Algorithmic Stress Prediction into Personal Informatics Systems for College Students’ Mental Health
Authors: family: Kim
given: Taewan; family: Kim
given: Haesoo; family: Lee
given: Ha Yeon; family: Goh
given: Hwarang; family: Abdigapporov
given: Shakhboz; family: Jeong
given: Mingon; family: Cho
given: Hyunsung; family: Han
given: Kyungsik; family: Noh
given: Youngtae; family: Lee
given: Sung-Ju; family: Hong
given: Hwajung
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: explainability, personal informatics, stres management, algorithm experience, mental wellbeing

Abstract: Reflecting on stress-related data is critical in addressing one’s mental health. Personal Informatics (PI) systems augmented by algorithms and sensors have become popular ways to help users collect and reflect on data about stress. While prediction algorithms in the PI systems are mainly for diagnostic purposes, few studies examine how the explainability of algorithmic prediction can support user-driven self-insight. To this end, we developed MindScope, an algorithm-assisted stress management system that determines user stress levels and explains how the stress level was computed based on the user’s everyday activities captured by a smartphone. In a 25-day field study conducted with 36 college students, the prediction and explanation supported self-reflection, a process to re-establish preconceptions about stress by identifying stress patterns and recalling past stress levels and patterns that led to coping planning. We discuss the implications of exploiting prediction algorithms that facilitate user-driven retrospection in PI systems.
Title: Opportunities and Challenges of Automatic Speech Recognition Systems for Low-Resource Language Speakers
Authors: family: Reitmaier
given: Thomas; family: Wallington
given: Electra; family: Kalarikalayil Raju
given: Dani; family: Klejch
given: Ondrej; family: Pearson
given: Jennifer; family: Jones
given: Matt; family: Bell
given: Peter; family: Robinson
given: Simon
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: mobile devices, Speech/language, automatic speech recognition

Abstract: Automatic Speech Recognition (ASR) researchers are turning their attention towards supporting low-resource languages, such as isiXhosa or Marathi, with only limited training resources. We report and reflect on collaborative research across ASR & HCI to situate ASR-enabled technologies to suit the needs and functions of two communities of low-resource language speakers, on the outskirts of Cape Town, South Africa and in Mumbai, India. We build on longstanding community partnerships and draw on linguistics, media studies and HCI scholarship to guide our research. We demonstrate diverse design methods to: remotely engage participants; collect speech data to test ASR models; and ultimately field-test models with users. Reflecting on the research, we identify opportunities, challenges, and use-cases of ASR, in particular to support pervasive use of WhatsApp voice messaging. Finally, we uncover implications for collaborations across ASR & HCI that advance important discussions at CHI surrounding data, ethics, and AI.
Title: Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading
Authors: family: Lallemand
given: Carine; family: Mercier
given: Emeline
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: user experience, user research method, online survey, sentence completion, e-reading

Abstract: Sentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in UX design. More information is yet still needed to understand how different sentence stems probe users’ insights, thereby providing recommendations for effective sentence completion surveys. We used the completion method on a large-scale sample to explore (e-)readers’ experiences and needs. Depending on their reading habits, participants (N=1880) were asked to complete a set of sentences, as part of a web survey. With 14143 user ideas collected in two weeks, our results confirm that remote online sentence completion is a cost-effective data collection method able to uncover feelings, attitudes, motivations, needs, or frustrations. Variation in sentence stems affected collected data in terms of item response rate, idea quantity as well as variety and originality. Building on previous research, this paper delivers actionable insights to optimize the richness of sentence completion outputs.
Title: TypeAnywhere: A QWERTY-Based Text Entry Solution for Ubiquitous Computing
Authors: family: Zhang
given: Mingrui Ray; family: Zhai
given: Shumin; family: Wobbrock
given: Jacob O.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: QWERTY., ubiquitous computing, Text entry, wearable, neural networks

Abstract: We present a QWERTY-based text entry system, TypeAnywhere, for use in off-desktop computing environments. Using a wearable device that can detect finger taps, users can leverage their touch-typing skills from physical keyboards to perform text entry on any surface. TypeAnywhere decodes typing sequences based only on finger-tap sequences without relying on tap locations. To achieve optimal decoding performance, we trained a neural language model and achieved a 1.6% character error rate (CER) in an offline evaluation, compared to a 5.3% CER from a traditional n-gram language model. Our user study showed that participants achieved an average performance of 70.6 WPM, or 80.4% of their physical keyboard speed, and 1.50% CER after 2.5 hours of practice over five days on a table surface. They also achieved 43.9 WPM and 1.37% CER when typing on their laps. Our results demonstrate the strong potential of QWERTY typing as a ubiquitous text entry solution.
Title: Computational Rationality as a Theory of Interaction
Authors: family: Oulasvirta
given: Antti; family: Jokinen
given: Jussi P. P.; family: Howes
given: Andrew
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: individual differences, interaction, reinforcement learning, Cognitive modeling, adaptation, computational rationality

Abstract: How do people interact with computers? This fundamental question was asked by Card, Moran, and Newell in 1983 with a proposition to frame it as a question about human cognition – in other words, as a matter of how information is processed in the mind. Recently, the question has been reframed as one of adaptation: how do people adapt their interaction to the limits imposed by cognition, device design, and environment? The paper synthesizes advances toward an answer within the theoretical framework of computational rationality. The core assumption is that users act in accordance with what is best for them, given the limits imposed by their cognitive architecture and their experience of the task environment. This theory can be expressed in computational models that explain and predict interaction. The paper reviews the theoretical commitments and emerging applications in HCI, and it concludes by outlining a research agenda for future work.
Title: ”I don’t want to feel like I’m working in a 1960s factory”: The Practitioner Perspective on Creativity Support Tool Adoption
Authors: family: Palani
given: Srishti; family: Ledo
given: David; family: Fitzmaurice
given: George; family: Anderson
given: Fraser
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Creative Practitioners, Creativity Support Tools, Tool Adoption

Abstract: With the rapid development of creativity support tools, creative practitioners (e.g., designers, artists, architects) have to constantly explore and adopt new tools into their practice. While HCI research has focused on developing novel creativity support tools, little is known about creative practitioner’s values when exploring and adopting these tools. We collect and analyze 23 videos, 13 interviews, and 105 survey responses of creative practitioners reflecting on their values to derive a value framework. We find that practitioners value the tools’ functionality, integration into their current workflow, performance, user interface and experience, learning support, costs and emotional connection, in that order. They largely discover tools through personal recommendations. To help unify and encourage reflection from the wider community of CST stakeholders (e.g., systems creators, researchers, marketers, educators), we situate the framework within existing research on systems, creativity support tools and technology adoption.