Exploring moral conflicts in speech: multidisciplinary analysis of affect and stress

M. Lee, J. Kim, K. Truong, Y.A.W. de Kort, F. Beute, W.A. IJsselsteijn

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Abstract

Our moral conscience as the "inner light" that guides us shines brighter during moments of ethical conflicts, when we notice a tension between our many oughts and/or wants. We present the first analyses on speech related stress and affect in accounts of moral conflicts. For our exploratory study, we started with interviews on moral and immoral events at work with entrepreneurs. Qualitative analysis revealed that interviewees do share personal moral conflicts without researchers probing for them. Quantitative analysis showed quiet and even toned voice features when discussing moral conflicts, and speech was laced with emotively positive and negative words, though more negative words were used. Moreover, we find promising results on our automatic classification experiment using speech features. How and what moral conflicts people deliberate on in real-life may be pertinent to future research in affective computing, as well as applications for decision-making support, ethical competences coaching, therapy, and healthy moral selfhood.

Original languageEnglish
Title of host publication2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
PublisherInstitute of Electrical and Electronics Engineers
Pages407-414
Number of pages8
ISBN (Electronic)978-1-5386-0563-9
DOIs
Publication statusPublished - 2017
Event7th International Conference on Affective Computing and Intelligent Interaction (ACII 2017) - San Antonio, United States
Duration: 23 Oct 201726 Oct 2017
Conference number: 7
http://acii2017.org/

Conference

Conference7th International Conference on Affective Computing and Intelligent Interaction (ACII 2017)
Abbreviated titleACII 2017
CountryUnited States
CitySan Antonio
Period23/10/1726/10/17
Internet address

Fingerprint

Speech analysis
Decision making
Mental Competency
Decision Making
Research Personnel
Conflict (Psychology)
Interviews
Light
Chemical analysis
Experiments

Keywords

  • morality
  • moral conflict
  • speech analysis

Cite this

Lee, M., Kim, J., Truong, K., de Kort, Y. A. W., Beute, F., & IJsselsteijn, W. A. (2017). Exploring moral conflicts in speech: multidisciplinary analysis of affect and stress. In 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017 (pp. 407-414). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ACII.2017.8273632
Lee, M. ; Kim, J. ; Truong, K. ; de Kort, Y.A.W. ; Beute, F. ; IJsselsteijn, W.A. / Exploring moral conflicts in speech : multidisciplinary analysis of affect and stress. 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017. Institute of Electrical and Electronics Engineers, 2017. pp. 407-414
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Lee, M, Kim, J, Truong, K, de Kort, YAW, Beute, F & IJsselsteijn, WA 2017, Exploring moral conflicts in speech: multidisciplinary analysis of affect and stress. in 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017. Institute of Electrical and Electronics Engineers, pp. 407-414, 7th International Conference on Affective Computing and Intelligent Interaction (ACII 2017), San Antonio, United States, 23/10/17. https://doi.org/10.1109/ACII.2017.8273632

Exploring moral conflicts in speech : multidisciplinary analysis of affect and stress. / Lee, M.; Kim, J.; Truong, K.; de Kort, Y.A.W.; Beute, F.; IJsselsteijn, W.A.

2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017. Institute of Electrical and Electronics Engineers, 2017. p. 407-414.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Lee M, Kim J, Truong K, de Kort YAW, Beute F, IJsselsteijn WA. Exploring moral conflicts in speech: multidisciplinary analysis of affect and stress. In 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017. Institute of Electrical and Electronics Engineers. 2017. p. 407-414 https://doi.org/10.1109/ACII.2017.8273632