Demo Data from SIGIR 2026 / reviewers in the wild / expert
Teis Arets
dblp:402/9936
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0005-6325-7844ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Human-AI interaction · 50% Health and well-being technologies · 30% Collaborative and social computing · 21% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
dementia care |
1.0 | 1 | 2026 | Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together · CHI 2026 |
Human-AI interaction
generative AI |
1.0 | 1 | 2026 | Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together · CHI 2026 |
Human-AI interaction › human-AI co-creation
generative AI co-creation |
1.0 | 1 | 2026 | Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together · CHI 2026 |
Collaborative and social computing
social connectedness |
1.0 | 1 | 2026 | Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together · CHI 2026 |
Human-AI interaction › conversational agents
chatbot |
0.9 | 1 | 2025 | Challenging Futures: Using Chatbots to Reflect on Aging and Dementia · CHI 2025 |
Health and well-being technologies
dementia |
0.9 | 1 | 2025 | Challenging Futures: Using Chatbots to Reflect on Aging and Dementia · CHI 2025 |
Collaborative and social computing › user-generated content
collaborative content creation |
0.3 | 1 | 2026 | Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
workshop study · 1.0qualitative analysis · 1.0user study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI TogetherabstractPeople with dementia often experience social isolation in daily life. Generative AI (GenAI) technologies, producing seemingly new content on the spot and tailoring it to users’ wishes, open new avenues for promoting meaningful social connections in dementia care. This study involved 17 people with dementia in 6 workshops and explored how they responded to and perceived three GenAI models, Copilot, Midjourney, and Suno, with a focus on social connectedness. Our results reveal that people with dementia engage in a relational process when using GenAI together: they collectively evaluate the outcomes of the models and negotiate further prompts. Moreover, they gradually develop an understanding of GenAI and become more critical about its output. We contribute to HCI by demonstrating how GenAI can foster social bonding between people with dementia through the co-creation of shared realities, and by discussing guidelines for designing effective and ethically responsible GenAI for people with dementia. Teis Arets, Maarten Houben, Fleur van Haeren, Wijnand A. IJsselsteijn, Giulia Perugia |
CHI | 1 |
| 2025 | Challenging Futures: Using Chatbots to Reflect on Aging and DementiaabstractIntertemporal reflection, flexibly thinking forward and backward in time, is vital for one's future planning.Yet, cultivating intertemporal reflection about encountering difficult futures, e.g., developing a progressive cognitive condition like dementia, can be challenging.We assessed people's attitudes towards dementia following conversing with a chatbot presented as either neurotypical or simulating dementia symptoms.While neither the chatbot's presentation nor the framing of participants' future selves impacted attitudes toward dementia, it influenced participants' experiences.When framed as future selves, the chatbot evoked a strong emotional connection, leading to reflection on aging, particularly with the chatbot simulating dementia symptoms.Participants interacting with the chatbot framed as a stranger with simulated symptoms often felt frustrated, especially when they had a task-oriented mindset.Chatbots can be promising tools for prompting reflections on challenging futures, such as dementia, although their effectiveness varies due to the tensions between simulated cognitive decline and expectations for effective communication. Rucha Khot, Teis Arets, Joel Wester, Franziska Burger, Niels van Berkel, Rens Brankaert, Wijnand A. IJsselsteijn, Minha Lee |
CHI | 2 |