Increasing well-being through robotic hugs
Loading...
Author (Corporation)
Publication date
2023
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Editor (Corporation)
Supervisor
Parent work
Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023)
Special issue
DOI of the original publication
Series
Series number
Volume
Issue / Number
Pages / Duration
63-72
Patent number
Publisher / Publishing institution
Place of publication / Event location
San Francisco
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
This paper addresses the question of how to increase the acceptability of a robot hug and whether such a hug contributes to well-being. It combines the lead author’s own research with pioneering research by Alexis E. Block and Katherine J. Kuchenbecker. First, the basics of this area are laid out with particular attention to the work of the two scientists. The authors then present HUGGIE Project I, which largely consisted of an online survey with nearly 300 participants, followed by HUGGIE Project II, which involved building a hugging robot and testing it on 136 people. At the end, the results are linked to current research by Block and Kuchenbecker, who have equipped their hugging robot with artificial intelligence to better respond to the needs of subjects.
Keywords
Subject (DDC)
330 - Wirtschaft
Event
Socially Responsible AI for Well-being (AAAI-SRAI 2023)
Exhibition start date
Exhibition end date
Conference start date
27.03.2023
Conference end date
29.03.2023
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Diamond
License
Citation
BENDEL, Oliver, Andrea PULJIC, Robin HEIZ, Furkan TÖMEN und Ivan DE PAOLA, 2023. Increasing well-being through robotic hugs. In: Takashi KIDO und Keiki TAKADAMA (Hrsg.), Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023). San Francisco. 2023. S. 63–72. Verfügbar unter: https://doi.org/10.26041/fhnw-7470