Please, tell me about yourself: automatic personality assessment using short self-presentations
Abstract
Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other"s first impressions and increase effectiveness. This paper addresses the automatically detection of the Big Five personality traits from short (30-120 seconds) self-presentations, by investigating the effectiveness of 29 simple acoustic and visual non-verbal features. Our results show that Conscientiousness and Emotional Stability/Neuroticism are the best recognizable traits. The lower accuracy levels for Extraversion and Agreeableness are explained through the interaction between situational characteristics and the differential activation of the behavioral dispositions underlying those traits.
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While many studies have showed improvements of prediction when combined with physiological or acoustic cues, facial expressions remain marginal in the study of personality trait prediction.
“Practically though, while many studies have showed improvements of prediction when combined with physiological or acoustic cues, FEs remain marginal in the study of personality trait prediction [251], [257], [259], [260].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [259]
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Research in the Era of Sensing Technologies and Wearables
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- Authors
- Batrinca, L. M., Mana, N., Lepri, B., Pianesi, F., & Sebe, N.
- Affiliations
- University of Trento (IT)
- FBK-irst, Povo, Italy
- MIT Media Lab (US)
- Venue
- Proceedings of the 13th international conference on multimodal interfaces
- Publisher
- ACM
- Published
- 2011-11-14
- Pages
- 255-262
- OpenAlex
- W1994745305
- Cited by
- 96
- References
- 37
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 12 · 2020: 7 · 2019: 10 · 2018: 9 · 2017: 9 · 2016: 15 · 2015: 3 · 2014: 8 · 2013: 9 · 2012: 4
- FWCI
- 10.69
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (publishedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Keywords
- Big Five personality traits, self-presentation, job interviews, acoustic features, visual features, first impressions, conscientiousness, neuroticism, extraversion, agreeableness, situational effects
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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