Demo Data from SIGIR 2026 / reviewers in the wild / expert
Dafna Sinai
dblp:316/5945
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-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 |
Human-robot interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › educational robotics
learning companion |
0.6 | 1 | 2022 | Perceptions of Social Robots as Motivating Learning Companions for Online Learning · HRI 2022 |
Human-robot interaction
intrinsic motivation |
0.2 | 1 | 2022 | Perceptions of Social Robots as Motivating Learning Companions for Online Learning · HRI 2022 |
Methods — techniques the papers use, named apart from their topics
video study · 0.6self-determination theory · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Perceptions of Social Robots as Motivating Learning Companions for Online LearningabstractThe shift for online learning, accelerated during the COVID-19 pandemic, has highlighted the importance of self-regulated learning skills and the challenges many students face while practicing online learning. Could social robots help by serving as motivating learning companions in online learning settings? In this study, we explore the perceived potential of motivating learning companion robots designed based on Self-Determination Theory. One hundred and eighty-five participants watched one of five videos displaying a simulated student-robot interaction and rated their perceptions of the intrinsic motivation of the student in the videos and the type of support provided by the social robot. Overall, the motivating learning companion affected the perceived sense of relatedness and perceived level of anxiety of the student in the video, as well as the social robot's perceived support. Differences between the conditions are discussed. Dafna Sinai, Rinat B. Rosenberg-Kima |
HRI | 1 |