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Matthew Peavy

dblp:383/4698 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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 · 61% Collaborative and social computing · 39%

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

TopicWeightPapersLastEvidence papers
Collaborative and social computing › interpersonal communication
cross-cultural communication
0.812024
Design of Embodied Mediator Haru for Remote Cross Cultural Communication · ICRA 2024
Human-robot interaction › robot communication
robot-mediated communication
0.812024
Design of Embodied Mediator Haru for Remote Cross Cultural Communication · ICRA 2024
Human-robot interaction
social robot
0.812024
Design of Embodied Mediator Haru for Remote Cross Cultural Communication · ICRA 2024
Collaborative and social computing
computer-supported cooperative work
0.212024
Design of Embodied Mediator Haru for Remote Cross Cultural Communication · ICRA 2024

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

pilot study · 0.8participatory design · 0.8
YearPublicationVenuePosition
2024 Design of Embodied Mediator Haru for Remote Cross Cultural Communication
abstract
Social robots for children have focused mainly on conventional education domains such as teaching language, science, and math, while applications focusing on the enhancement of cultural competency are quite scarce. In this paper, we present a prototype of a robot-mediation framework for cross-cultural communication. This framework paves the way for a social robot to act as a mediator between groups of schoolchildren from different countries. First, we conducted a participatory design activity by an interdisciplinary team, resulting in the extraction of the design, robot’s roles, and technical requirements. Based on these requirements, we built the robot-mediation system prototype. We conducted a pilot study using the system with groups of high school children in Japan and Australia and our results show the potential of the system to drive children’s interest in communicating, sharing, and discussing cultural themes with their remote peers through the social robot.
Randy Gomez, Deborah Szapiro, Sara Cooper, Nabil Bougria, Guillermo Pérez 0001, Eric Nichols, Javier Giménez-Figueroa, Jose M. Perez-Moleron, Matthew Peavy, Daniel Serrano, Luis Merino
ICRA9