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• 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

• 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

• 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

• Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment

  Michelle Cohn, Alyssa Lanzi, Yui Ishihara, Chen-Nee Chuah, Georgia Zellou, Alyssa Weakley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper quantifies how well state-of-the-art automatic speech recognition (ASR) handles voice commands produced by older adults with cognitive impairment, and asks which acoustic features actually predict transcription accuracy. The authors draw on the Voice…

  automatic speech recognition · ASR · dementia · Alzheimer's disease · mild cognitive impairment

• Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence

  Elaine Czech, Dan Bennett, Grace Jane Stangroome, Vanessa Aisyahsari Hanschke, Amy Ingold, Paul Marshall, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Accessibility and HCI research on dementia has moved away from the medical-model framing of 'recipients of care' toward dementia-friendly communities, interdependence, and person-centred support. But Czech and colleagues note a gap: most of this work designs interventions…

  dementia · aging · participatory design · community-based participatory design · interdependence

• Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together

  Teis Arets, Maarten Houben, Fleur van Haeren, Wijnand IJsselsteijn, Giulia Perugia · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper reports on a qualitative workshop study examining how people living with mild to moderate dementia engage with three generative AI tools - Microsoft Copilot (text), Midjourney (images), and Suno (music) - in a group setting, and what forms of social connectedness…

  dementia · generative AI · social connectedness · cognitive accessibility · aging

• Collaborative AI Scaffolding for Structured Drawing in Dementia Care: A Feasibility Study

  Hui-Lien Huang, I-Ping Chen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract reports a one-on-one feasibility study of a tablet-based AI drawing tool for older adults with dementia, conducted at a day-care centre in Taiwan. The system pairs a Google Gemini vision-language model (VLM) with Azure text-to-speech to deliver…

  dementia · older adults · human-AI collaboration · human-in-the-loop · vision-language model

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