Demo Data from SIGIR 2026 / reviewers in the wild / expert
Amy Le
dblp:159/0598
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 |
Collaborative and social computing · 61% Health and well-being technologies · 39% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
family dynamics |
0.2 | 1 | 2015 | Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status Families · CSCW 2015 |
Collaborative and social computing
social computing |
0.2 | 1 | 2015 | Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status Families · CSCW 2015 |
Health and well-being technologies › mobile health
mobile health application |
0.1 | 1 | 2015 | Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status Families · CSCW 2015 |
Methods — techniques the papers use, named apart from their topics
semi-structured interviews · 0.2photo elicitation · 0.2field trial · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status FamiliesabstractWe conducted a 12-week comparative field trial with 20 low socioeconomic status (SES) caregivers from 10 families to explore their use of a sociotechnical mobile application designed to promote healthy snacking, Snack Buddy. Our analysis of the semi-structured interviews, pre/post-intervention instruments, and photo-elicitation interviews suggests that participants gained a greater awareness of their own snacking practices and those of their family members. Users were empowered to adjust their own practices and beliefs around healthy eating because they were more aware of their family's snacking behaviors. We describe the unique social dynamics of how families engaged with each other and the application, which includes positive social support for healthy eating. By providing insights into family interactions and experiences with the application, we identify benefits, challenges, and strategies when designing family-level sociotechnical interventions for healthy behavior. Christopher L. Schaefbauer, Danish Ullah Khan, Amy Le, Garrett Sczechowski, Katie A. Siek |
CSCW | 3 |