Demo Data from SIGIR 2026 / reviewers in the wild / expert
Margi Engineer
dblp:372/4663
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0002-5074-2013ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 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
1 paper |
Health and well-being technologies · 100% |
Topics — the 3 heaviest of 3, 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 | Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and Challenges · ACM Trans. Comput. Hum. Interact. 2026 |
Health and well-being technologies › dementia care
dementia support |
1.0 | 1 | 2026 | Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and Challenges · ACM Trans. Comput. Hum. Interact. 2026 |
Health and well-being technologies › health informatics
medical AI |
1.0 | 1 | 2026 | Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and Challenges · ACM Trans. Comput. Hum. Interact. 2026 |
Methods — techniques the papers use, named apart from their topics
qualitative study · 1.0interviews · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and ChallengesabstractResearch to date in AI and dementia has primarily focused on medical and care-giver applications. This study complements prior work by collecting qualitative data from individuals with Mild Cognitive Impairment (MCI), and mild-to-moderate dementia, uncovering their perspectives, envisioned use cases, and anticipated challenges with generative AI applications. Findings uncover ways people with MCI and dementia want to use AI to engage in resilience building activities related to fostering wellness, building social connections, and finding purpose. However, each of these use cases came with tradeoffs in embracing healthy thinking. Based on these findings, we discuss directions for future work in AI for resilience building in dementia. We intend for this work to lay the groundwork for future research in AI design and development to empower people living with dementia to engage in resilience building activities, which may have lasting positive impacts on their mental health and well-being. Sushant Kot, Margi Engineer, Elizabeth S. Gilman, Christopher Flathmann, Alisha Pradhan, Emma Dixon |
ACM Trans. Comput. Hum. Interact. | 2 |