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Detecting Impulsive Behavior Through Agent-Based Games

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Intelligent Human Systems Integration 2020 (IHSI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1131))

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Abstract

Impulsiveness is a trait that guides human behavior. People who score high on self-report measures of impulsiveness are characterized by unplanned risky behavior and acting without foresight. Character Computing and Automatic personality recognition aim at detecting characteristics and traits from different cues without relying on self-assessment measures. An individual’s behavior during agent-based games is one such cue. In this work, we aimed to detect impulsiveness through two agent-based games: Tic Tac Toe and Colored Trails. The developed agent estimated impulsiveness using Pearson correlation and linear regression with an accuracy of 77% in comparison to self-report questionnaires.

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Author information

Authors and Affiliations

  1. German University in Cairo, Cairo, 11432, Egypt

    Alia El Bolock, Ahmed Ghonaim & Slim Abdennadher

  2. Department Applied Emotion and Motivation Psychology, Ulm University, 89081, Ulm, Germany

    Alia El Bolock & Cornelia Herbert

Authors
  1. Alia El Bolock
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  2. Ahmed Ghonaim
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  3. Cornelia Herbert
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  4. Slim Abdennadher
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Corresponding author

Correspondence to Alia El Bolock .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Dipartimento Di Ingegneria, Edificio 25, Università di Modena e Reggio Emilia, Modena, Modena, Italy

    Alberto Vergnano

  4. Department of Mechanical and Civil Engineering, University of Modena, Modena, Modena, Italy

    Francesco Leali

  5. GRESPI, Université de Reims Champagne-Ardenne, Reims Cedex 2, France

    Redha Taiar

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Bolock, A.E., Ghonaim, A., Herbert, C., Abdennadher, S. (2020). Detecting Impulsive Behavior Through Agent-Based Games. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_33

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