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Antara Shah

dblp:429/1323 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-6598-7747ORCID · reported

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
Design research and methods · 67% Human-robot interaction · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Design research and methods
in-the-wild study
1.012026
Seeing Eye to Eye Again: In-the-Wild Replication Study with an Expressive Eye Display for the Stretch Mobile Manipulator · HRI 2026
Design research and methods › research methodology
replication study
1.012026
Seeing Eye to Eye Again: In-the-Wild Replication Study with an Expressive Eye Display for the Stretch Mobile Manipulator · HRI 2026

Methods — techniques the papers use, named apart from their topics

gaze cue · 1.0emotional expression · 1.0
YearPublicationVenuePosition
2026 Seeing Eye to Eye Again: In-the-Wild Replication Study with an Expressive Eye Display for the Stretch Mobile Manipulator
abstract
In human-robot interaction, nonverbal robot cues such as gaze and emotional expression can potentially enhance coordination with nearby people via advantages like conveying a shared focus. At the same time, although laboratory studies have shown that expressive eye behavior increases the overall task performance while improving social perception of the robot, it is unclear whether these effects resoundingly generalize beyond the controlled laboratory environment into an unstructured public environment. We conducted an in-the-wild study to replicate the results of a previous in-lab study on expressive eye behavior (i.e., gaze and emotional expression) using a Hello Robot Stretch mobile manipulator. N = 55 participants interacted with the robot in a guided block placement task under one of four experiences: control, gaze only, emotion only, and both gaze and emotion combined. Participants in the gaze condition required significantly fewer attempts to select the correct block and reported the robot to be significantly more socially warm, suggesting that gaze may be a strong cue for directing collaboration as well as social perception in natural settings, while emotional expression could have more subtle impacts. These results can help robot practitioners create systems that fit more seamlessly and effectively into real-world settings.
Antara Shah, Naomi T. Fitter
HRI1