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Author: 13715

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Looking inside the VR Music Scene: Mapping Platforms, Events and People

Music is increasingly performed and experienced in Social Virtual Reality (Social VR), from VRChat raves to high-production concerts on bespoke platforms. Yet Human-Computer-Interaction (HCI) research still focuses mainly on building new VR systems rather than examining the communities that already create and sustain…

Sophia Ppali et al.CYENS - Centre of Excellence

When the World Opens up: Journeys of People with Intellectual Disabilities in Social Virtual Reality

Adults with intellectual disabilities (ID) face systemic social exclusion that narrows autonomy and life opportunities. While social virtual reality (VR) offers a powerful medium for identity expression and community belonging, research often adopts a remedial paradigm, focusing on training functional skills in script…

Alexandra Covaci et al.University of Kent

Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors

The mindset people have about stress is important to be studied because this core belief, that stress is either enhancing or debilitating, fundamentally alters a person’s physiological and psychological responses to stressors. However, this crucial construct is rarely considered in prior research on momentary stress d…

Lakmal Meegahapola et al.Nokia

From Ephemeral to Actionable: Parent Perspectives on Speculative Family Speech Tracking

Personal tracking technologies for family life, including speech tracking, have long been conceptualised in HCI as tools to support wellbeing and parenting at scale. However, speech tracking is inherently invasive because it captures intimate family interactions, and its ethical introduction and appropriation into eve…

Seray B Ibrahim et al.King's College London

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Impact Assessment Card: Communicating Risks and Benefits of AI Uses

Communicating the risks and benefits of AI uses is crucial for regulatory compliance and increasing public awareness, but its effectiveness is currently limited to individuals with technical expertise and often presented in highly specialized impact assessment reports. Drawing upon the HCI and CSCW literature on makin…

Edyta Paulina Bogucka et al.Nokia

Identifying and Mitigating AI Risks

The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform

AI development is shaped by academics and industry leaders---let us call them ``influencers''---but it is unclear how their views align with those of the public. To address this gap, we developed an interactive platform that served as a data collection tool for exploring public views on AI, including their fears, hope…

Gustavo Moreira et al.University of Illinois

RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles

Many guidelines for responsible AI have been suggested to help AI practitioners in the development of ethical and responsible AI systems. However, these guidelines are often neither grounded in regulation nor usable by different roles, from developers to decision makers. To bridge this gap, we developed a four-step me…

Marios Constantinides et al.University College London

Session 1g: Contextualizing Fairness in AI

Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses

Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at individual, societal, and environmental levels. Yet, it also spotlights concerns over emerging risks. Traditional assessments of risks and benefits have been sporadic, and often require costly expert analysis. We developed a…

Marios Constantinides et al.University College London

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits

Value Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development of systems aligning with ethical values, such as fairness and transparency. In this study, we posit that a VSD approach is not only compatib…

Malak Sadek et al.Imperial College London

User Characteristics in Explainable AI: The Rabbit Hole of Personalization?

As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has become critical for transparency and trust among users. A significant challenge in XAI is catering to diverse users, such as data scientists, domain experts, and end-users. Recent research has started to investigate how users' ch…

Robert Nimmo et al.Glasgow University

Quantified Canine: Inferring Dog Personality From Wearables

Being able to assess dog personality can be used to, for example, match shelter dogs with future owners, and personalize dog activities. Such an assessment typically relies on experts or psychological scales administered to dog owners, both of which are costly. To tackle that challenge, we built a device called ``Pat…

Lakmal Meegahapola et al.Idiap Research Institute

Depression at Work: Exploring Depression in Major US Companies from Online Reviews

Studies on depression in the workplace have mostly investigated its impact on individual employees. Little is known about its association with the company as a whole, or the state where the company is based. This is due to the lack of scalable methodologies operationalizing depression in the specific context of the wo…

Indira Sen et al.GESIS - Leibniz Institute for the Social Sciences

Remote Work, Motivation, and Burnout; Remote Work, Motivation, and Burnout

Paper Title	Authors	Research Topics
emoji_events Looking inside the VR Music Scene: Mapping Platforms, Events and People Music is increasingly performed and experienced in Social Virtual Reality (Social VR), from VRChat raves to high-production concerts on bespoke platforms. Yet Human-Computer-Interaction (HCI) research still focuses mainly on building new VR systems rather than examining the communities that already create and sustain…	SP Sophia Ppali et al.CYENS - Centre of Excellence
emoji_events When the World Opens up: Journeys of People with Intellectual Disabilities in Social Virtual Reality Adults with intellectual disabilities (ID) face systemic social exclusion that narrows autonomy and life opportunities. While social virtual reality (VR) offers a powerful medium for identity expression and community belonging, research often adopts a remedial paradigm, focusing on training functional skills in script…	AC Alexandra Covaci et al.University of Kent
emoji_events Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors The mindset people have about stress is important to be studied because this core belief, that stress is either enhancing or debilitating, fundamentally alters a person’s physiological and psychological responses to stressors. However, this crucial construct is rarely considered in prior research on momentary stress d…	LM Lakmal Meegahapola et al.Nokia
From Ephemeral to Actionable: Parent Perspectives on Speculative Family Speech Tracking Personal tracking technologies for family life, including speech tracking, have long been conceptualised in HCI as tools to support wellbeing and parenting at scale. However, speech tracking is inherently invasive because it captures intimate family interactions, and its ethical introduction and appropriation into eve…	SI Seray B Ibrahim et al.King's College London
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Impact Assessment Card: Communicating Risks and Benefits of AI Uses Communicating the risks and benefits of AI uses is crucial for regulatory compliance and increasing public awareness, but its effectiveness is currently limited to individuals with technical expertise and often presented in highly specialized impact assessment reports. Drawing upon the HCI and CSCW literature on makin…	EB Edyta Paulina Bogucka et al.Nokia	Identifying and Mitigating AI Risks
The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform AI development is shaped by academics and industry leaders---let us call them ``influencers''---but it is unclear how their views align with those of the public. To address this gap, we developed an interactive platform that served as a data collection tool for exploring public views on AI, including their fears, hope…	GM Gustavo Moreira et al.University of Illinois
RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles Many guidelines for responsible AI have been suggested to help AI practitioners in the development of ethical and responsible AI systems. However, these guidelines are often neither grounded in regulation nor usable by different roles, from developers to decision makers. To bridge this gap, we developed a four-step me…	MC Marios Constantinides et al.University College London	Session 1g: Contextualizing Fairness in AI
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at individual, societal, and environmental levels. Yet, it also spotlights concerns over emerging risks. Traditional assessments of risks and benefits have been sporadic, and often require costly expert analysis. We developed a…	MC Marios Constantinides et al.University College London
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits Value Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development of systems aligning with ethical values, such as fairness and transparency. In this study, we posit that a VSD approach is not only compatib…	MS Malak Sadek et al.Imperial College London
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has become critical for transparency and trust among users. A significant challenge in XAI is catering to diverse users, such as data scientists, domain experts, and end-users. Recent research has started to investigate how users' ch…	RN Robert Nimmo et al.Glasgow University
Quantified Canine: Inferring Dog Personality From Wearables Being able to assess dog personality can be used to, for example, match shelter dogs with future owners, and personalize dog activities. Such an assessment typically relies on experts or psychological scales administered to dog owners, both of which are costly. To tackle that challenge, we built a device called ``Pat…	LM Lakmal Meegahapola et al.Idiap Research Institute
Depression at Work: Exploring Depression in Major US Companies from Online Reviews Studies on depression in the workplace have mostly investigated its impact on individual employees. Little is known about its association with the company as a whole, or the state where the company is based. This is due to the lack of scalable methodologies operationalizing depression in the specific context of the wo…	IS Indira Sen et al.GESIS - Leibniz Institute for the Social Sciences	Remote Work, Motivation, and Burnout; Remote Work, Motivation, and Burnout