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• Eye-Tracking-Driven Shared Control for Robotic Arms: Wizard of Oz Studies to Assess Design Choices

  Anke Fischer-Janzen, Thomas M. Wendt, Daniel Görlich, Kristof Van Laerhoven · 2026 · ACM Transactions on Human-Robot Interaction

  The paper presents two Wizard of Oz studies evaluating an eye-tracking-driven shared-control system for an assistive robotic arm — the 7-DoF Kinova Gen3 — designed for People with Severe Motor Disabilities (PSMD). PSMD here includes people with locked-in syndrome, cerebral…

  assistive robotics · eye tracking · gaze input · shared control · motor disability

• Robot Characters: Co-Designing Dynamic Personalities for Cognitively Assistive Robots

  Dagoberto Cruz-Sandoval, Alyssa Kubota, Connie Guan, Soyon Kim, Laurel D. Riek · 2026 · ACM Transactions on Human-Robot Interaction

  The paper introduces the concept of a "robot character" — a holistic, context-sensitive framing of robot personality that extends beyond trait-based models such as Big Five by incorporating shared interests, cultural background, lived experiences, and environmental factors. To…

  cognitively assistive robots · robot personality · co-design · inclusive design · dementia

• “I’ve Become More Myself”: Challenges and Benefits of Engaging with ADHD Short-Form Video Content and Communities

  Nathalie Alexandra Tcherdakoff, Anna L. Cox, Jon Bird, Paul Marshall · 2026 · ACM Transactions on Computer-Human Interaction

  This qualitative interview study explores how 32 adult ADHDers relate to ADHD-focused Short-Form Video Content (SFVC) on TikTok, Instagram Reels, and YouTube Shorts. The lead author — herself an ADHDer and SFVC user — uses reflexive thematic analysis grounded in feminist…

  ADHD · neurodivergence · neurodiversity · social media · online communities

• Eye Gaze Behaviour and Comprehension of Colour Commentary and Gameplay Captions of Live Fast-Paced Sports for Deaf and Hard of Hearing Television Viewers

  Somang Nam, Tatyana Kumarasamy, Maria Karam, Margot Whitfield, Evan Hibbard, Jenny Leung, Deborah Fels · 2026 · ACM Transactions on Accessible Computing

  This ACM TACCESS study evaluates a novel captioning approach for live fast-paced sports broadcasting: 'Reduced Captioning' that displays only the colour commentary (opinions, context, analysis) and omits the verbatim play-by-play narration. The authors motivate this design…

  closed captioning · live captioning · broadcasting · sports · eye tracking

• Adaptive and Storytelling Practices of Panamanian Autism Families: Towards Culturally-Situated Digital Storytelling

  Elizabeth del Carmen Castillo, Debbie Alvarado Latino, Cecilia Aracelly Fonseca Sánchez, Annuska Zolyomi · 2026 · Proceedings of the ACM on Human-Computer Interaction (GROUP)

  This PACM HCI (GROUP) paper presents a formative, culturally-situated design study with eight Panamanian mothers of autistic individuals (ages 3–27) to understand the resource barriers autism families face in Panamá and the role storytelling plays in their daily lives. The…

  autism · neurodiversity · culture · Global South · storytelling

• Robots for Older Adults: A Scoping Review

  Samuel A. Olatunji, Yao-Lin Tsai, Saathveek A. Gowrishankar, Megan A. Bayles, Wendy A. Rogers · 2026 · ACM Transactions on Human-Robot Interaction

  This mixed-method scoping review in the ACM Journal of Human-Robot Interaction establishes the state of the science for robots supporting older adults, covering 205 empirical studies published from 2010 through 2022. The review follows PRISMA reporting guidelines and the Budgen…

  human-robot interaction · robots · older adults · aging · assistive technology

• Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and Challenges

  Sushant Kot, Margi Engineer, Elizabeth Gilman, Christopher Flathmann, Alisha Pradhan, Emma Dixon · 2026 · ACM Transactions on Computer-Human Interaction

  This qualitative HCI study examines how people with Mild Cognitive Impairment (MCI) and mild-to-moderate dementia envision using commercially available generative AI applications in everyday life. Rather than designing for this population from the outside, the researchers…

  dementia · generative AI · large language models · resilience · cognitive accessibility

• Multi-Perspective Visual Contrastive Decoding for Reliable Assistance

  Bocheng Pan, Hailong Shi, Xingyu Gao · 2026 · ACM Transactions on Internet of Things

  This technical paper presents MPVCD (Multi-Perspective Visual Contrastive Decoding), a framework designed to address the reliability of AI-generated visual descriptions for people who are blind or have low vision (BLV). The core problem it tackles: when BLV users photograph…

  blindness and low vision · multimodal AI · image captioning · visual hallucination · assistive technology

• Beyond Conventional Health Technologies: Investigating Design Opportunities for Improving Self-management in People with Multiple Sclerosis

  Trisha Dani, Anindya Das Antar, Anna Kratz, Nikola Banovic · 2026 · ACM Transactions on Computing in Healthcare

  This qualitative HCI study investigates how people with Multiple Sclerosis (MS) use existing health technologies to manage their symptoms and condition in daily life outside clinical settings. MS is a chronic neurological condition causing fluctuating and often invisible…

  multiple sclerosis · self-management · chronic illness · telehealth · symptom tracking

• CIDER: Collaborative Interactive Dynamic Environments for eXtended Reality

  Hung-Jui Guo, Hiranya Garbha Kumar, Yung-Jen Lin Guo, Balakrishnan Prabhakaran · 2026 · ACM Transactions on Multimedia Computing, Communications, and Applications

  CIDER (Collaborative Interactive Dynamic Environments for eXtended Reality) is an XR platform designed to enable real-time remote collaboration by automatically replicating a physical environment as an interactive virtual space. The authors address a core problem in…

  extended reality · mixed reality · virtual reality · remote collaboration · 3D reconstruction

• Synergy of Artificial Intelligence and Extended Reality in Patient-focused Health and Well-Being Applications—A Systematic Review

  Tim Schwirtlich, Cheolmin Matthew Lee, Molly Beestrum, David C. Mohr · 2026 · ACM Transactions on Computing for Healthcare

  This systematic review, conducted by researchers at Northwestern University's Feinberg School of Medicine, maps the landscape of applications that combine artificial intelligence and extended reality (XR) for direct patient health and well-being outcomes. The review follows…

  extended reality · artificial intelligence · rehabilitation · mental health · accessibility

• Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach

  Wei Wang, John Grundy, Hourieh Khalajzadeh, Anuradha Madugalla, Humphrey O. Obie · 2026 · ACM Transactions on Software Engineering and Methodology

  This paper from Monash and Deakin Universities addresses a persistent gap in mHealth design: most chronic disease self-management apps treat users as a homogeneous group, ignoring the wide variation in capabilities, health status, cultural background, and technological literacy…

  mHealth · adaptive user interfaces · chronic disease · accessibility · user-centered design

• DiG-Net: Enhancing Human–Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics

  Eran Bamani Beeri, Eden Nissinman, Avishai Sintov · 2026 · ACM Transactions on Human-Robot Interaction

  DiG-Net (Distance-aware Gesture Network) addresses a fundamental limitation in gesture-controlled assistive robotics: existing dynamic gesture recognition systems work reliably only within about seven metres of the camera, severely constraining their usefulness in real-world…

  assistive robotics · gesture recognition · human-robot interaction · mobility impairment · accessibility

• ExNovo: A user interface that supports novices without encumbering experts

  Mark Blair, Amanda Klassen, Justin O'Camb, Cal Woodruff, Rollin Poe, Christine Chuong, Robin Barrett · 2026 · ACM Games

  ExNovo is a novel hierarchical tree menu interface designed to bridge the long-standing divide between graphical user interfaces (GUIs) and keyboard hotkeys. Traditional GUIs scaffold novice users by making command options visible, but their reliance on precise mouse targeting…

  user interface design · keyboard accessibility · motor accessibility · visual impairment · novice-to-expert transition

• Incorporating Procedural Fairness in Flag Submissions on Social Media Platforms

  Yunhee Shim, Shagun Jhaver · 2026 · ACM Transactions on Social Computing

  This paper examines how the design choices embedded in social media flagging mechanisms shape users' perceptions of procedural fairness. Flagging — the ability for users to report posts or accounts that violate community guidelines — is a critical component of platform…

  content moderation · platform governance · procedural fairness · flagging · social media

• Internet Voting Maturity Framework — Quantifying Maturity in Internet Voting Protocols

  Stanisław Barański, Ben Biedermann, Joshua Ellul · 2026 · ACM Distributed Ledger Technologies

  This paper introduces the Internet Voting Maturity Framework (IVMF), a structured, trust-centric scoring methodology for evaluating and comparing seventeen internet voting protocols. The research addresses a critical gap: despite a proliferation of i-voting systems, no unified…

  internet voting · e-voting · blockchain · accessibility · trust models

• Expanding Perspectives to Improve Access to Visual Archives through Multimodal Image Enrichment

  Karina Rodriguez Echavarria, Myrsini Samaroudi · 2026 · ACM Journal on Computing and Cultural Heritage

  This paper addresses a pervasive challenge in the Galleries, Libraries, Archives and Museums (GLAM) sector: large-scale visual collections that have been digitised but remain undiscoverable because they lack descriptive metadata. The authors, from the University of Brighton,…

  cultural heritage · metadata enrichment · AI image classification · FAIR principles · information discovery

• Judge: Effective State Abstraction for Guiding Automated Web GUI Testing

  Chenxu Liu, Junheng Wang, Wei Yang, Ying Zhang, Tao Xie · 2026 · ACM Transactions on Software Engineering and Methodology

  This paper presents Judge, a novel approach to state abstraction for automated web GUI testing (AWGT). AWGTs explore web applications by performing GUI actions and building a state model to guide further exploration, maximising code coverage within a fixed time budget. Effective…

  automated testing · web accessibility · GUI testing · DOM · machine learning

• The EasyCog Dataset: Towards Easier Cognitive Assessment with Passive Video Watching

  Qingyong Hu, Yuxuan Zhou, Jinjian Wang, Yanbin Gong, Yizhen Zhang, Jingnan Sun, Jian Yao, Qijia Shao, Lili Qiu, Qian Zhang, Guihua Li · 2026 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  This paper introduces EasyCog, the first large-scale multimodal dataset designed for low-burden, low-cost cognitive assessment using passive visual engagement. The core motivation is to address well-documented limitations of standard clinical cognitive tests such as the Montreal…

  cognitive accessibility · cognitive assessment · EEG · eye tracking · dementia

• Inclusive Design of AI's Explanations: Just for Those Previously Left Out?

  Md Montaser Hamid, Fatima A. Moussaoui, Jimena Noa Guevara, Andrew Anderson, Puja Agarwal, Jonathan Dodge, Margaret Burnett · 2026 · ACM Transactions on Interactive Intelligent Systems

  This paper investigates whether inclusive design applied to AI explanations can produce curb-cut effects: improvements designed to help underserved users that also benefit everyone. The study centres on Explainable AI (XAI), a field concerned with helping users understand how AI…

  explainable AI · inclusive design · GenderMag · mental models · XAI

• A Proxy Stakeholder Approach to Requirements Engineering for Inclusive Navigation

  Wei Wang, Anuradha Madugalla, John Grundy, John McIntosh, Pieter Hartel · 2026 · ACM Transactions on Software Engineering and Methodology

  This paper introduces a "proxy stakeholder" framework for Requirements Engineering (RE) aimed at designing inclusive navigation software for individuals with cognitive impairments (IwCI). The authors argue that traditional RE elicitation techniques—interviews, workshops,…

  cognitive accessibility · wayfinding · requirements engineering · proxy stakeholders · inclusive navigation

• Considerations for VR Integration into Human-Centered Computing Education

  Ruchi Sembey, Roberto Martinez-Maldonado, John Grundy · 2026 · ACM Transactions on Computing Education

  This paper investigates the practical considerations that Human-Centered Computing (HCC) educators perceive as important when integrating Virtual Reality (VR) into their teaching. Despite sustained interest in VR as an educational tool—particularly for immersive,…

  virtual reality · VR education · human-centered computing · experiential learning · pedagogy

• Designing Socially Assistive Robots for Perinatal Depression Screening: Insights and Ethical Considerations from Two Exploratory Studies

  Mengyu Zhong, Lux Miranda, Fotios C. Papadopoulos, Katie Winkle, Alkistis Skalkidou, Ginevra Castellano · 2026 · ACM Transactions on Human-Robot Interaction

  This paper reports two exploratory studies investigating the use of Socially Assistive Robots (SARs) for Perinatal Depression (PND) screening. PND affects up to 10% of individuals during pregnancy or postpartum, yet 50% of antenatal depression cases and 69% of PND cases go…

  socially assistive robots · mental health · perinatal depression · participatory design · human-robot interaction

• Shiny Stories, Hidden Struggles: Investigating the Representation of Disability Through the Lens of LLMs

  Marco Bombieri, Simone Paolo Ponzetto, Marco Rospocher · 2026 · ACM Transactions on Intelligent Systems and Technology

  This paper investigates how Large Language Models (LLMs) represent disability by comparing AI-generated social media posts with self-descriptions from real people with disabilities on Reddit. The study addresses a critical gap in bias research: while prior work has focused on…

  AI bias · large language models · disability representation · inspiration porn · toxic positivity

• Towards Understanding the Effect of Serious Games on Attention, Adherence, and Behavior for Children with ADHD

  Jonathan Wang Liu, Mahmood Jasim, Jeong-Heon Song, So-Hwi Ha, Jun-Su Kim, Dayoung Kim, Hyunsuk Lee, Byeong Il Kim, Hee-Tae Jung · 2026 · ACM Transactions on Computer-Human Interaction

  This paper investigates how serious games designed to help children with ADHD impact their attention, adherence, and daily behaviour in real-world home settings. Conducted in two stages, the study first involved nine educators working with children in clinical ADHD settings,…

  ADHD · serious games · digital therapeutics · children · attention