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Omer Sadeh

dblp:371/1268 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0000-4901-3396ORCID · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
social robot
0.812024
The Power of Opening Encounters in HRI: How Initial Robotic Behavior Shapes the Interaction that Follows · HRI 2024
Human-robot interaction
robot perception
0.212024
The Power of Opening Encounters in HRI: How Initial Robotic Behavior Shapes the Interaction that Follows · HRI 2024

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

gesture design · 0.8experimental study · 0.8
YearPublicationVenuePosition
2024 The Power of Opening Encounters in HRI: How Initial Robotic Behavior Shapes the Interaction that Follows
abstract
Opening encounters are a fundamental component of every interaction. Psychology research highlights the valence of opening encounters as one of the main factors shaping the interaction that follows. We evaluated whether opening encounters would have a similarly powerful effect on human-robot interactions. Specifically, we tested how positive and negative opening encounters with a robot would impact the subsequent interaction. Participants interacted with a robot that performed gestures communicating different valences of opening encounters: Positive, Negative, or No opening encounter. To evaluate the impact on the subsequent interaction, we measured participants' willingness to comply with a help request presented by the robot and their perception of the robot. Our results indicated that most participants in the Positive opening encounter condition helped the robot and described a positive overall perception. An opposite pattern emerged in the other two conditions. Almost none of the participants helped the robot, and the perception of the robot was less positive. Our findings suggest that opening encounters with robots should be carefully considered due to their impact on the interaction that follows.
Hadas Erel, Agam Oberlender, Juna Khatib, Noam Freund, Omer Sadeh, Julian Waksberg, Elior Carsenti
HRI5