huashen218/convxai-cia-dataset huggingface dataset:
Title: Co-Imagining the Future of Playable Cities: A Bottom-Up, Multi-Stakeholder Speculative Inquiry into the Playful Potential of Urban Technology
Authors: family: Altarriba Bertran
given: Ferran; family: Bisbe Armengol
given: Laura; family: Cooke
given: Cameron; family: Chen
given: Ivy; family: Dong
given: Victor; family: Dastoor
given: Binaisha; family: Tadano
given: Kelsea; family: Dean
given: Fyez; family: Wang
given: Jessalyn; family: Altarriba Bertran
given: Adrià; family: Duval
given: Jared; family: Isbister
given: Katherine
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Smart cities, Play, Fun, Co-design, Situated Play Design, Urban technology, Speculative design

Abstract: Here we present a co-design exploration into the potential of technology to playfully re-signify urban spaces. We created a speculative catalog of urban tech and used it to facilitate multi-stakeholder discussions about the playful potential of smart cities. The learnings from our co-design engagements embody different people's ideas of how tech might and might not support rich forms of urban play, and contribute to ongoing efforts at exploring how to playfully reconfigure our cities. We present: (1) a list of inspirational play potentials of urban spaces—i.e. playful things already people do, and enjoy, in the public space; (2) a portfolio of speculative ideas that show how tech might help to realize that potential; and (3) a discussion of stakeholders’ responses to these ideas. Our work can provide designers with inspiration and actionable advice for cultivating forms of urban play that cater to people's socio-emotional needs.
Title: When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models
Authors: family: Rechkemmer
given: Amy; family: Yin
given: Ming
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: trust, accuracy, human-subject experiments, Machine learning, confidence

Abstract: Previous research shows that laypeople’s trust in a machine learning model can be affected by both performance measurements of the model on the aggregate level and performance estimates on individual predictions. However, it is unclear how people would trust the model when multiple performance indicators are presented at the same time. We conduct an exploratory human-subject experiment to answer this question. We find that while the level of model confidence significantly affects people’s belief in model accuracy, both the model’s stated and observed accuracy generally have a larger impact on people’s willingness to follow the model’s predictions as well as their self-reported levels of trust in the model, especially after observing the model’s performance in practice. We hope the empirical evidence reported in this work could open doors to further studies to advance understanding of how people perceive, process, and react to performance-related information of machine learning.
Title: Informing Age-Appropriate AI: Examining Principles and Practices of AI for Children
Authors: family: Wang
given: Ge; family: Zhao
given: Jun; family: Van Kleek
given: Max; family: Shadbolt
given: Nigel
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: systematic literature review, age appropriate design, AI for children

Abstract: AI systems are becoming increasingly pervasive within children’s devices, apps, and services. However, it is not yet well-understood how risks and ethical considerations of AI relate to children. This paper makes three contributions to this area: first, it identifies ten areas of alignment between general AI frameworks and codes for age-appropriate design for children. Then, to understand how such principles relate to real application contexts, we conducted a landscape analysis of children’s AI systems, via a systematic literature review including 188 papers. This analysis revealed a wide assortment of applications, and that most systems’ designs addressed only a small subset of principles among those we identified. Finally, we synthesised our findings in a framework to inform a new “Code for Age-Appropriate AI”, which aims to provide timely input to emerging policies and standards, and inspire increased interactions between the AI and child-computer interaction communities.
Title: GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network
Authors: family: Mozaffari
given: Mohammad Amin; family: Zhang
given: Xinyuan; family: Cheng
given: Jinghui; family: Guo
given: Jin L.C.
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: StyleGAN, inspiration, User interface design, creativity support

Abstract: Inspiration from design examples plays a crucial role in the creative process of user interface design. However, current tools and techniques that support inspiration usually only focus on example browsing with limited user control or similarity-based example retrieval, leading to undesirable design outcomes such as focus drift and design fixation. To address these issues, we propose the GANSpiration approach that suggests design examples for both targeted and serendipitous inspiration, leveraging a style-based Generative Adversarial Network. A quantitative evaluation revealed that the outputs of GANSpiration-based example suggestion approaches are relevant to the input design, and at the same time include diverse instances. A user study with professional UI/UX practitioners showed that the examples suggested by our approach serve as viable sources of inspiration for overall design concepts and specific design elements. Overall, our work paves the road of using advanced generative machine learning techniques in supporting the creative design practice.
Title: Towards Sign Language-Centric Design of ASL Survey Tools
Authors: family: Mahajan
given: Shruti; family: Walker
given: Zoey; family: Boll
given: Rachel; family: Santacreu
given: Michelle; family: Salvino
given: Ally; family: Westfort
given: Michael; family: Reis
given: Jeanne; family: Solovey
given: Erin
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: ASL, American Sign Language

Abstract: Questionnaires are fundamental learning and research tools for gathering insights and information from individuals, and now can be created easily using online tools. However, existing resources for creating questionnaires are designed for written languages (e.g. English) and do not support sign languages (e.g. American Sign Language). Sign languages (SLs) have unique visual characteristics that do not fit into user interface paradigms designed for written, text-based languages. Through a series of formative studies with the ASL signing community, this paper takes steps towards understanding the viability, potential benefit, challenges, and user interest in SL-centric surveys, a novel approach for creating questionnaires that meet the needs of deaf individuals using sign languages, without obligatory reliance on a written language to complete a questionnaire.
Title: Diffraction-in-action: Designerly Explorations of Agential Realism Through Lived Data
Authors: family: Sanches
given: Pedro; family: Howell
given: Noura; family: Tsaknaki
given: Vasiliki; family: Jenkins
given: Tom; family: Helms
given: Karey
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: data, collaboration, material, empathy, bodies, being-with, more-than-human, design research, design, Biodata

Abstract: Recent design research has shown an interest in diffraction and agential realism, which promise to offer generative alternatives when designing with data that resist treating data as objective or neutral. We explore engaging diffractively with ‘lived data’ to surface felt and prospective aspects of data as it is entangled in everyday lives of designers. This paper presents five biodata-based case studies demonstrating how design researchers can create knowledge about human bodies and behaviors via strategies that allow them to engage data diffractively. These studies suggest that designers can find insights for designing with data as it is lived by working with it in a slow, open-ended fashion that leaves room for messiness and time for discovering difference. Finally, we discuss the role of ambiguous, open-ended data interpretations to help surface different meanings and entanglements of data in everyday lives.
Title: Recentering Reframing as an RtD Contribution: The Case of Pivoting from Accessible Web Tables to a Conversational Internet
Authors: family: Zimmerman
given: John; family: Steinfeld
given: Aaron; family: Tomasic
given: Anthony; family: J. Romero
given: Oscar
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Research through Design, drifting with intention, visually impaired, design experiment, design research program, reframe, accessibility

Abstract: Design produces valuable knowledge by offering new perspectives that reframe problematic situations. Research through Design (RtD) contributes new frames along with design work demonstrating a frame's value. Interestingly, RtD papers rarely describe how reframing happens. This gap in documentation unintentionally implies a romantic account of design, it implies that the first step of an RtD project is to have a brilliant idea. This is especially problematic in cases where the reframing causes a pivot that leads to a new research program. To help address this gap, we describe a case where through a series of three design experiments we experienced a research pivot. We describe how our work to improve web-table navigation for screen-reader users broke our frame. The break led to a new research program focused on constructing a conversational internet. This paper offers our case along with reflection on reporting design work that drives reframing.
Title: One Week in the Future: Previs Design Futuring for HCI Research
Authors: family: Ivanov
given: Alexander; family: Au Yeung
given: Tim; family: Blair
given: Kathryn; family: Danyluk
given: Kurtis; family: Freeman
given: Georgina; family: Friedel
given: Marcus; family: Hull
given: Carmen; family: Hung
given: Michael Yuk-Shing; family: Pratte
given: Sydney; family: Willett
given: Wesley
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: prototyping, previsualization, design futuring

Abstract: We explore the use of cinematic “pre-visualization” (previs) techniques as a rapid ideation and design futuring method for human computer interaction (HCI) research. Previs approaches, which are widely used in animation and film production, use digital design tools to create medium-fidelity videos that capture richer interaction, motion, and context than sketches or static illustrations. When used as a design futuring method, previs can facilitate rapid, iterative discussions that reveal tensions, challenges, and opportunities for new research. We performed eight one-week design futuring sprints, in which individual HCI researchers collaborated with a lead designer to produce concept sketches, storyboards, and videos that examined future applications of their research. From these experiences, we identify recurring themes and challenges and present a One Week Futuring Workbook that other researchers can use to guide their own futuring sprints. We also highlight how variations of our approach could support other speculative design practices.
Title: Use Cases for Design Personas: A Systematic Review and New Frontiers
Authors: family: Salminen
given: Joni; family: Wenyun Guan
given: Kathleen; family: Jung
given: Soon-Gyo; family: Jansen
given: Bernard
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Abstract: Personas represent the needs of users in diverse populations and impact design by endearing empathy and improving communication. While personas have been lauded for their benefits, we could locate no prior review of persona use cases in design, prompting the question: how are personas actually used to achieve these benefits? To address this question, we review 95 articles containing persona application across multiple domains, and identify software development, healthcare, and higher education as the top domains that employ personas. We then present a three-stage design hierarchy of persona usage to describe how personas are used in design tasks. Finally, we assess the increasing trend of persona initiatives aimed towards social good rather than solely commercial interests. Our findings establish a roadmap of best practices for how practitioners can innovatively employ personas to increase the value of designs and highlight avenues of using personas for socially impactful purposes.
Title: Trauma-Informed Computing: Towards Safer Technology Experiences for All
Authors: family: Chen
given: Janet X.; family: McDonald
given: Allison; family: Zou
given: Yixin; family: Tseng
given: Emily; family: Roundy
given: Kevin A; family: Tamersoy
given: Acar; family: Schaub
given: Florian; family: Ristenpart
given: Thomas; family: Dell
given: Nicola
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: trauma, intimate partner violence, transgender, gender-based violence, computer security and privacy, trauma-informed computing

Abstract: Trauma is the physical, emotional, or psychological harm caused by deeply distressing experiences. Research with communities that may experience high rates of trauma has shown that digital technologies can create or exacerbate traumatic experiences. Via three vignettes, we discuss how considering the possible effects of trauma and traumatic stress reactions provides an explanatory lens with new insights into people’s technology experiences. Then, we present a framework—trauma-informed computing—in which we adapt and show how to apply six key principles of trauma-informed approaches to computing: safety, trust, peer support, collaboration, enablement, and intersectionality. Through specific examples, we describe how to apply trauma-informed computing in four areas of computing research and practice: user experience research & design, security & privacy, artificial intelligence & machine learning, and organizational culture in tech companies. We conclude by discussing how adopting trauma-informed computing will lead to benefits for all users, not only those experiencing trauma.
Title: Interrupting Merit, Subverting Legibility: Navigating Caste In ‘Casteless’ Worlds of Computing
Authors: family: Vaghela
given: Palashi; family: Jackson
given: Steven J; family: Sengers
given: Phoebe
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: caste, merit, feminist HCI, postcolonial computing, technology and inequality

Abstract: Recent work in HCI has shed light on structural issues of inequality in computing. Building on this work, this study analyzes the relatively understudied phenomenon of caste in computing. Contrary to common rhetorics of ‘castelessness,’ we show how computing worlds in India and Indian diasporic communities continue to be shaped and inflected by caste relations. We study how, when and where Dalits (formerly ‘untouchables’) encounter caste in computing. We show how they artfully navigate these caste inscriptions by interpreting, interrupting and ambiguating caste and by finding caste communities. Drawing on the life stories of 16 Dalit engineers and anti-caste, queer-feminist and critical race theories, we argue that a dynamic and performative approach to caste, and other forms of inequality in HCI and computing, emphasizes the artfulness and agency of those at the margins as they challenge structural inequality in everyday life. Lastly, we suggest practical ways of addressing caste to build more open and inclusive cultures of global computing.
Title: Maker Technology and the Promise of Empowerment in a Flemish School for Disabled Children
Authors: family: Vandenberghe
given: Bert; family: Gerling
given: Kathrin; family: Geurts
given: Luc; family: Vanden Abeele
given: Vero
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: ethnography, school for disabled children, physical therapy, making technology, non-use, anthropology, disability, occupational therapy, empowerment

Abstract: Maker culture encourages do-it-yourself practices to create, repair, and repurpose technology. In Human-Computer Interaction (HCI) research, it is seen as a means of empowering people, providing affordable and customisable technology with potential to enrich areas such as education or assistive technology. To investigate this alleged potential, we performed an anthropological inquiry at an elementary school for disabled children that lasted one year, participating in everyday activities with students, teachers, and therapists. We observed ‘heterogeneity in a fluid environment’ and ‘creativity in the moment’ in an ‘endemically underfunded’ setting. We saw how technology is ‘injecting dependencies’, ‘reinforcing disability’, and ‘occupying time and space’, changing our view on the role that making can have. Leveraging Empowerment Theory, we highlight how (making) technology risks ignoring the intertwined dynamics between the individual, the organisational, and the community, and articulate points for reflection for technology in schools for disabled children for the HCI research community.
Title: ADHD and Technology Research – Investigated by Neurodivergent Readers
Authors: family: Spiel
given: Katta; family: Hornecker
given: Eva; family: Williams
given: Rua Mae; family: Good
given: Judith
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: ADHD, neurodivergence, methodology, literature review, cripping, disability studies, neurodiversity, critical theory

Abstract: Technology research for neurodivergent conditions is largely shaped by research aims which privilege neuro-normative outcomes. As such, there is an epistemic imbalance in meaning making about these technologies. We conducted a critical literature review of technologies designed for people with ADHD, focusing on how ADHD is framed, the research aims and approaches, the role of people with ADHD within the research process, and the types of systems being developed within Computing and HCI. Our analysis and review is conducted explicitly from an insider perspective, bringing our perspectives as neurodivergent researchers to the topic of technologies in the context of ADHD. We found that 1) technologies are largely used to ‘mitigate’ the experiences of ADHD which are perceived as disruptive to neurotypical standards of behaviour; 2) little HCI research in the area invites this population to co-construct the technologies or to leverage neurodivergent experiences in the construction of research aims; and 3) participant resistance to deficit frames can be read within the researchers’ own accounts of participant actions. We discuss the implications of this status quo for disabled people and technology researchers alike, and close with a set of recommendations for future work in this area.
Title: From Treatment to Healing:Envisioning a Decolonial Digital Mental Health
Authors: family: Pendse
given: Sachin R; family: Nkemelu
given: Daniel; family: Bidwell
given: Nicola J; family: Jadhav
given: Sushrut; family: Pathare
given: Soumitra; family: De Choudhury
given: Munmun; family: Kumar
given: Neha
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: artificial intelligence, decolonial theory, medical pluralism, digital mental health, health inequities

Abstract: The field of digital mental health is making strides in the application of technology to broaden access to care. We critically examine how these technology-mediated forms of care might amplify historical injustices, and erase minoritized experiences and expressions of mental distress and illness. We draw on decolonial thought and critiques of identity-based algorithmic bias to analyze the underlying power relations impacting digital mental health technologies today, and envision new pathways towards a decolonial digital mental health. We argue that a decolonial digital mental health is one that centers lived experience over rigid classification, is conscious of structural factors that influence mental wellbeing, and is fundamentally designed to deter the creation of power differentials that prevent people from having agency over their care. Stemming from this vision, we make recommendations for how researchers and designers can support more equitable futures for people experiencing mental distress and illness.
Title: Towards Understanding Diminished Reality
Authors: family: Cheng
given: Yi Fei; family: Yin
given: Hang; family: Yan
given: Yukang; family: Gugenheimer
given: Jan; family: Lindlbauer
given: David
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: Empirical study, Mediated Reality, Diminished Reality

Abstract: Diminished reality (DR) refers to the concept of removing content from a user’s visual environment. While its implementation is becoming feasible, it is still unclear how users perceive and interact in DR-enabled environments and what applications it benefits. To address this challenge, we first conduct a formative study to compare user perceptions of DR and mediated reality effects (e. g., changing the color or size of target elements) in four example scenarios. Participants preferred removing objects through opacity reduction (i. e., the standard DR implementation) and appreciated mechanisms for maintaining a contextual understanding of diminished items (e. g., outlining). In a second study, we explore the user experience of performing tasks within DR-enabled environments. Participants selected which objects to diminish and the magnitude of the effects when performing two separate tasks (video viewing, assembly). Participants were comfortable with decreased contextual understanding, particularly for less mobile tasks. Based on the results, we define guidelines for creating general DR-enabled environments.
Title: Exploring Spatial UI Transition Mechanisms with Head-Worn Augmented Reality
Authors: family: Lu
given: Feiyu; family: Xu
given: Yan
Venue: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Keywords: automation, controllability, adaptive interfaces, agency

Abstract: Imagine in the future people comfortably wear augmented reality (AR) displays all day, how do we design interfaces that adapt to the contextual changes as people move around? In current operating systems, the majority of AR content defaults to staying at a fixed location until being manually moved by the users. However, this approach puts the burden of user interface (UI) transition solely on users. In this paper, we first ran a bodystorming design workshop to capture the limitations of existing manual UI transition approaches in spatially diverse tasks. Then we addressed these limitations by designing and evaluating three UI transition mechanisms with different levels of automation and controllability (low-effort manual, semi-automated, fully-automated). Furthermore, we simulated imperfect contextual awareness by introducing prediction errors with different costs to correct them. Our results provide valuable lessons about the trade-offs between UI automation levels, controllability, user agency, and the impact of prediction errors.