research-article

Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli

Authors:

Shlomo Berkovsky,

Irena Koprinska,

Jingjie LiAuthors Info & Claims

ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 10, Issue 3

Article No.: 18, Pages 1 - 32

https://doi.org/10.1145/3357459

Published: 15 October 2020 Publication History

Abstract

Personality detection is an important task in psychology, as different personality traits are linked to different behaviours and real-life outcomes. Traditionally it involves filling out lengthy questionnaires, which is time-consuming, and may also be unreliable if respondents do not fully understand the questions or are not willing to honestly answer them. In this article, we propose a framework for objective personality detection that leverages humans’ physiological responses to external stimuli. We exemplify and evaluate the framework in a case study, where we expose subjects to affective image and video stimuli, and capture their physiological responses using non-invasive commercial-grade eye-tracking and skin conductivity sensors. These responses are then processed and used to build a machine learning classifier capable of accurately predicting a wide range of personality traits. We investigate and discuss the performance of various machine learning methods, the most and least accurately predicted traits, and also assess the importance of the different stimuli, features, and physiological signals. Our work demonstrates that personality traits can be accurately detected, suggesting the applicability of the proposed framework for robust personality detection and use by psychology practitioners and researchers, as well as designers of personalised interactive systems.

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Langner MToreini PMaedche A(2024)Cognitive state detection with eye tracking in the field: an experience sampling study and its lessons learnedi-com10.1515/icom-2023-003523:1(109-129)Online publication date: 15-Apr-2024
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Lee JChoi YSong MPark S(2024)ChatFive: Enhancing User Experience in Likert Scale Personality Test through Interactive Conversation with LLM AgentsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665572(1-8)Online publication date: 8-Jul-2024
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Index Terms

Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Transactions on Interactive Intelligent Systems

ACM Transactions on Interactive Intelligent Systems Volume 10, Issue 3

Special Issue on Data-Driven Personality Modeling for Intelligent Human-Computer Interaction

September 2020

189 pages

ISSN:2160-6455

EISSN:2160-6463

DOI:10.1145/3430388

Editor:
Michelle X. Zhou
Juji, Inc., USA

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Copyright © 2020 ACM.

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Publication History

Published: 15 October 2020

Online AM: 07 May 2020

Accepted: 01 February 2020

Revised: 01 December 2019

Received: 01 February 2019

Published in TIIS Volume 10, Issue 3

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https://doi.org/10.3390/ai5020034
Langner MToreini PMaedche A(2024)Cognitive state detection with eye tracking in the field: an experience sampling study and its lessons learnedi-com10.1515/icom-2023-003523:1(109-129)Online publication date: 15-Apr-2024
https://doi.org/10.1515/icom-2023-0035
Lee JChoi YSong MPark S(2024)ChatFive: Enhancing User Experience in Likert Scale Personality Test through Interactive Conversation with LLM AgentsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665572(1-8)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665572
Zhao XTang ZZhang S(2022)Deep Personality Trait Recognition: A SurveyFrontiers in Psychology10.3389/fpsyg.2022.83961913Online publication date: 6-May-2022
https://doi.org/10.3389/fpsyg.2022.839619
Chen YCanli T(2022) “Nothing to see here”: No structural brain differences as a function of the Big Five personality traits from a systematic review and meta-analysis Personality Neuroscience10.1017/pen.2021.55Online publication date: 9-Aug-2022
https://doi.org/10.1017/pen.2021.5
Zhu HZhou YLi QShao Z(2022)Personality modeling from image aesthetic attribute-aware graph representation learningJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10367589:COnline publication date: 1-Nov-2022
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Chen LCai WYan DBerkovsky S(2022)Eye-tracking-based personality prediction with recommendation interfacesUser Modeling and User-Adapted Interaction10.1007/s11257-022-09336-933:1(121-157)Online publication date: 24-Jun-2022
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