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Towards Approximating Personality Cues Through Simple Daily Activities
- Source :
- Advanced Concepts for Intelligent Vision Systems. ACIVS 2020: Proceedings International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2020), 192-204, STARTPAGE=192;ENDPAGE=204;TITLE=Advanced Concepts for Intelligent Vision Systems. ACIVS 2020, Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042, ACIVS
- Publication Year :
- 2020
- Publisher :
- Springer, Cham, 2020.
-
Abstract
- The goal of this work is to investigate the potential of making use of simple activity and motion patterns in a smart environment for approximating personality cues via machine learning techniques. Towards this goal, we present a novel framework for personality recognition, inspired by both computer vision and psychology. Results show a correlation between several behavioral features and personality traits, as well as insights of which type of everyday tasks induce stronger personality display. We experiment with the use of support vector machines, random forests and gaussian process classification achieving promising predictive ability, related to personality traits. The obtained results show consistency to a good degree, opening the path for applications in psychology, game industry, ambient assisted living, and other fields.keywordspersonality recognitionbehavior analysismachine learningpersonality traits.
- Subjects :
- business.industry
Computer science
media_common.quotation_subject
05 social sciences
02 engineering and technology
050105 experimental psychology
Motion (physics)
Random forest
Support vector machine
symbols.namesake
Consistency (negotiation)
0202 electrical engineering, electronic engineering, information engineering
symbols
Personality
020201 artificial intelligence & image processing
0501 psychology and cognitive sciences
Smart environment
Artificial intelligence
Big Five personality traits
business
Gaussian process
Cognitive psychology
media_common
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-40604-2
- ISBNs :
- 9783030406042
- Database :
- OpenAIRE
- Journal :
- Advanced Concepts for Intelligent Vision Systems. ACIVS 2020: Proceedings International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2020), 192-204, STARTPAGE=192;ENDPAGE=204;TITLE=Advanced Concepts for Intelligent Vision Systems. ACIVS 2020, Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042, ACIVS
- Accession number :
- edsair.doi.dedup.....e2fc3bc54f715ae9b9b4c17b993195e5