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Accession Number:
AD1085884
Title:
Social Function of Emotions Modeling and Exploiting the Social Function of Emotions in Mixed Human-Machine Teams
Corporate Author:
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES United States
Report Date:
2019-04-16
Abstract:
Advances in autonomy raise the potential for rich partnerships between humans and machines. This proposal examines the potential costs and benefits of incorporating human-like social and emotional capabilities into machine teammates in potentially high-stakes situations. The research has made progress in three areas Mind perception theory illustrating that the extent to which one responds socially to autonomy depends on the mind that is attributed to the machine, with people categorizing other minds in terms of agencyintelligence and experienceemotion Representation effects illustrating that people act differently towards others when they interact with them through an autonomous agent that represents their own interests and Predictive Neural models showing that there are neural signatures that predict these attributions and social responses.
Descriptive Note:
Technical Report,30 Sep 2014,29 Sep 2018
Pages:
0010
Distribution Statement:
Approved For Public Release;
File Size:
0.99MB
