Demo Data from SIGIR 2026 / reviewers in the wild / expert
Robert Bloom
dblp:350/0655
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0001-2212-2426ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Human-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 |
Human-robot interaction · 62% Immersive interaction · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
teleoperation |
1.0 | 1 | 2026 | Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User Experience · HRI 2026 |
Immersive interaction › telepresence
social telepresence |
0.3 | 1 | 2026 | Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User Experience · HRI 2026 |
Immersive interaction
telepresence |
0.3 | 1 | 2026 | Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User Experience · HRI 2026 |
Methods — techniques the papers use, named apart from their topics
between-subjects study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User ExperienceabstractControl devices are essential in shaping the user experience of telepresence robot operators. This is especially true for mobile telemanipulator robots (MTRs), which offer greater opportunities for social interaction compared to mobile or tabletop telepresence robots, but are more difficult to control. This increased difficulty can diminish key aspects of user experience, such as sense of control (SoC), which many users value over performance. However, the usability of telepresence control devices has been critically overlooked in HRI research. In a between-subjects study (n = 63), we investigate how three widely used control devices (mouse, gamepad, haptic controller) affect critical aspects of teleoperation: perceived SoC, safety, usability, and cognitive load; and task performance. Participants remotely controlled an MTR (Stretch) to wait on a customer in a social telepresence setting (cafe). We found that the type of control device significantly impacts both task performance and SoC in direct teleoperation, with the mouse having the best performance/SoC. There were notable tradeoffs in speeds, errors, and task completion times, and participants with higher SoC performed significantly better than those with lower SoC. We provide participant-informed suggestions for future control device design, such as allowing users to reconfigure its physical form, input sensitivity, and controls to align with video game conventions. By foregrounding the role of control devices, our work contributes to ongoing conversations in HRI around the tradeoffs between autonomy, usability, and user agency in social telepresence. Pratyusha Ghosh, Sachiko Matsumoto, Vivek Gupte, Robert Bloom, Alex Chow, Nandini Desai, Donovan Le, Tania K. Morimoto, Laurel D. Riek |
HRI | 4 |