Predicting apparent personality from body language: benchmarking deep learning architectures for adaptive social human–robot interaction
Author:
Affiliation:
1. Department of Computer Science, The University of Manchester, Manchester, UK
2. Artificial Intelligence Research Centre (AIRC), AIST Tokyo, Tokyo, Japan
3. School of Mathematical and Computer Sciences, Herriot-Watt University, Edinburgh, UK
Funder
AIST-AIRC
New Energy and Industrial Technology Development Organization
European Research Council
Engineering and Physical Sciences Research Council
Publisher
Informa UK Limited
Subject
Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2021.1974941
Reference47 articles.
1. A Survey of Personality Computing
2. A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction
3. Emotion-based human-robot-interaction
4. A Review of Personality in Human–Robot Interactions
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