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Sebastian Cabrol

dblp:237/8432 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 1

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 · 61% Immersive interaction · 30% Haptics and multimodal interaction · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › nonverbal communication
deictic gesture
0.412019
Mixed Reality Deictic Gesture for Multi-Modal Robot Communication · HRI 2019
Immersive interaction
mixed reality interaction
0.412019
Mixed Reality Deictic Gesture for Multi-Modal Robot Communication · HRI 2019
Human-robot interaction
robot communication
0.412019
Mixed Reality Deictic Gesture for Multi-Modal Robot Communication · HRI 2019
Haptics and multimodal interaction
multimodal communication
0.112019
Mixed Reality Deictic Gesture for Multi-Modal Robot Communication · HRI 2019
YearPublicationVenuePosition
2019 Mixed Reality Deictic Gesture for Multi-Modal Robot Communication
abstract
In previous work, researchers have repeatedly demonstrated that robots' use of deictic gestures enables effective and natural human-robot interaction. However, new technologies such as augmented reality head mounted displays enable environments in which mixed-reality becomes possible, and in such environments, physical gestures become but one category among many different types of mixed reality deictic gestures. In this paper, we present the first experimental exploration of the effectiveness of mixed reality deictic gestures beyond physical gestures. Specifically, we investigate human perception of videos simulating the display of allocentric gestures, in which robots circle their targets in users' fields of view. Our results suggest that this is an effective communication strategy, both in terms of objective accuracy and subjective perception, especially when paired with complex natural language references.
Tom Williams 0001, Matthew Bussing, Sebastian Cabrol, Elizabeth Boyle
HRI3