A Virtual Agent as a Commensal Companion

Previous work introduced the concept of artificial commensal companions, i.e., embodied agents capable of interacting with humans during meals. They are supposed to bring the benefits of eating together in settings where a human would be forced to eat alone (e.g., elderly, hospitalized patients, self-isolation, etc.). This paper presents an experiment with a virtual agent and a human eating together. We invited volunteers to bring a small meal and let them chat briefly with the agent, simulating eating behaviors during the conversation. After the experience, participants filled out a questionnaire, providing quantitative and qualitative feedback. While results are encouraging (i.e., participants showed interest in eating with an agent), further work is still needed to provide more convincing results.

Authors

Institutions

Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1145/3652988.3673963
Citations
8
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
2.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Virtual Agent as a Commensal Companion

Maurizio Mancini, Radosław Niewiadomski, Gabriele De Lucia, Francesco Maria Longobardi
8 citations
Human Motion and Animation
2.63
article

A Virtual Agent as a Commensal Companion

Maurizio Mancini, Radosław Niewiadomski, Gabriele De Lucia, Francesco Maria Longobardi
article en
8 citations

Abstract

Previous work introduced the concept of artificial commensal companions, i.e., embodied agents capable of interacting with humans during meals. They are supposed to bring the benefits of eating together in settings where a human would be forced to eat alone (e.g., elderly, hospitalized patients, self-isolation, etc.). This paper presents an experiment with a virtual agent and a human eating together. We invited volunteers to bring a small meal and let them chat briefly with the agent, simulating eating behaviors during the conversation. After the experience, participants filled out a questionnaire, providing quantitative and qualitative feedback. While results are encouraging (i.e., participants showed interest in eating with an agent), further work is still needed to provide more convincing results.

University of Genoa (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 9%
Human Motion and Animation
2.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.