Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Nandini Desai

dblp:429/1613 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0001-8034-4588ORCID · 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

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
1.012026
Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User Experience · HRI 2026
Immersive interaction › telepresence
social telepresence
0.312026
Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User Experience · HRI 2026
Immersive interaction
telepresence
0.312026
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
YearPublicationVenuePosition
2026 Input Matters: How Telepresence Control Devices Affect Performance, Sense of Control, and User Experience
abstract
Control 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
HRI6