Demo Data from EDBT 2026 / reviewers in the wild / expert
Christopher R. Bennett
dblp:135/6533
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0001-8245-0248ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 |
Accessibility and assistive technology · 44% Immersive interaction · 44% Interaction techniques and input · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
augmented reality |
0.8 | 1 | 2024 | "X-Ray Vision" as a Compensatory Augmentation for Slowing Cognitive Map Decay in Older Adults · CHI 2024 |
Accessibility and assistive technology
older adults |
0.8 | 1 | 2024 | "X-Ray Vision" as a Compensatory Augmentation for Slowing Cognitive Map Decay in Older Adults · CHI 2024 |
Interaction techniques and input › spatial interaction › navigation
spatial navigation |
0.2 | 1 | 2024 | "X-Ray Vision" as a Compensatory Augmentation for Slowing Cognitive Map Decay in Older Adults · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | "X-Ray Vision" as a Compensatory Augmentation for Slowing Cognitive Map Decay in Older AdultsabstractSafe and efficient navigation often relies on the development and retention of accurate cognitive maps that include inter-landmark relations. For many older adults, cognitive maps are difficult to form and remember over time, which introduces serious challenges for independence and mobility. To address this problem, we explore an innovative compensatory augmentation solution enabling enhanced inter-landmark learning via an “X-Ray Vision” simulation. Results with (n=45) user study participants suggest superior older adult cognitive map retention over time from a single learning session with the augmentation versus a control condition without the augmentation. Furthermore, results characterize differences in decay of cognitive maps between older adults and a control of younger adults. These findings suggest important implications for future augmented reality devices and the ways in which they can be used to promote memory and independence among older adults. Christopher R. Bennett, Paul D. S. Fink, Nicholas A. Giudice |
CHI | 1 |