research-article

A Comparison of Emotion Elicitation Methods for Affective Driving Studies

Authors:

Michael Braun,

Simon Weiser,

Bastian Pfleging, and

Florian AltAuthors Info & Claims

AutomotiveUI '18: Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2018

Pages 77 - 81

https://doi.org/10.1145/3239092.3265945

Published: 23 September 2018 Publication History

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Abstract

Advances in sensing technology enable the emotional state of car drivers to be captured and interfaces to be built that respond to these emotions. To evaluate such emotion-aware interfaces, researchers need to evoke certain emotional states within participants. Emotion elicitation in driving studies poses a challenge as the driving task can interfere with the elicitation task. Induced emotions also lose intensity with time and through secondary tasks. This is why we have analyzed different emotion elicitation techniques for their suitability in automotive research and compared the most promising approaches in a user study. We recommend using autobiographical recollection to induce emotions in driving studies, and suggest a way to prolong emotional states with music playback. We discuss experiences from a a driving simulator study, including solutions for addressing potential privacy issues.

References

[1]

Richard C. Baker and Daniel O. Guttfreund. 1993. The effects of written autobiographical recollection induction procedures on mood. Journal of Clinical Psychology 49, 4 (1993), 563--568.

Crossref

Google Scholar

[2]

Florian Eyben, Martin Wöllmer, Tony Poitschke, Björn Schuller, Christoph Blaschke, Berthold Färber, and Nhu Nguyen-Thien. 2010. Emotion on the Road: Necessity, Acceptance, and Feasibility of Affective Computing in the Car. Advances in Humam-Computer Interaction 2010, Article 5 (jan 2010), 17 pages.

Digital Library

Google Scholar

[3]

James J. Gross and Robert W. Levenson. 1995. Emotion elicitation using films. Cognition and Emotion 9, 1 (1995), 87--108.

Crossref

Google Scholar

[4]

Leon James. 2000. Road rage and aggressive driving: Steering clear of highway warfare. Prometheus Books.

Google Scholar

[5]

Joris H. Janssen, Paul Tacken, J.J.G. (Gert-Jan) de Vries, Egon L. van den Broek, Joyce H.D.M. Westerink, Pim Haselager, and Wijnand A. IJsselsteijn. 2013. Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection. Human-Computer Interaction 28, 6 (2013), 479--517.

Digital Library

Google Scholar

[6]

Myounghoon Jeon and Bruce N Walker. 2011. What to detect? Analyzing factor structures of affect in driving contexts for an emotion detection and regulation system. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 55. Sage Publications Sage CA: Los Angeles, CA, 1889--1893.

Crossref

Google Scholar

[7]

Pamela M. Kenealy. 1986. The velten mood induction procedure: A methodological review. Motivation and Emotion 10, 4 (01 Dec 1986), 315--335.

Google Scholar

[8]

Sander Koelstra, Christian Muhl, Mohammad Soleymani, Jong-Seok Lee, Ashkan Yazdani, Touradj Ebrahimi, Thierry Pun, Anton Nijholt, and loannis Patras. 2012. Deap: A database for emotion analysis; using physiological signals. IEEE Transactions on Affective Computing 3, 1 (2012), 18--31.

Digital Library

Google Scholar

[9]

Yerkes Robert M. and Dodson John D. 1908. The relation of strength of stimulus to rapidity of habit-formation. Journal of Comparative Neurology and Psychology 18, 5 (1908), 459--482.

Crossref

Google Scholar

[10]

Jürgen H. Otto, Harald A. Euler, and Heinz Mand. 2000. Emotionspsychologie: ein Handbuch. Beltz, Psychologie-Verlag-Union.

Google Scholar

[11]

Rosalind W. Picard. 1995. Affective Computing. (1995).

Digital Library

Google Scholar

[12]

Rosalind W. Picard, Elias Vyzas, and Jennifer Healey. 2001. Toward machine emotional intelligence: Analysis of affective physiological state. IEEE transactions on pattern analysis and machine intelligence 23, 10 (2001), 1175--1191.

Digital Library

Google Scholar

[13]

James Russell. 1980. A Circumplex Model of Affect. 39 (12 1980), 1161--1178.

Google Scholar

[14]

Meike K. Uhrig, Nadine Trautmann, Ulf Baumgärtner, Rolf-Detlef Treede, Florian Henrich, Wolfgang Hiller, and Susanne Marschall. 2016. Emotion Elicitation: A Comparison of Pictures and Films. Frontiers in Psychology 7 (2016), 180.

Crossref

Google Scholar

Cited By

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Presta RTancredi Cde Simone FChiesa SMancuso LMarino L(2023)Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)10.1109/MetroXRAINE58569.2023.10405770(1198-1203)Online publication date: 25-Oct-2023
https://doi.org/10.1109/MetroXRAINE58569.2023.10405770
Götz LRivu RAlt FSchmidt AMäkelä V(2022)Real-World Methods of Autobiographical Recall in Virtual RealityNordic Human-Computer Interaction Conference10.1145/3546155.3546704(1-11)Online publication date: 8-Oct-2022
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De Simone FPresta R(2022)A Song Can Do That: An Emotion Induction Study for the Development of Intelligent Emotion-Aware SystemsIntelligent Systems and Applications10.1007/978-3-031-16078-3_24(363-377)Online publication date: 1-Sep-2022
https://doi.org/10.1007/978-3-031-16078-3_24
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Index Terms

A Comparison of Emotion Elicitation Methods for Affective Driving Studies
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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AutomotiveUI '18: Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2018

282 pages

ISBN:9781450359474

DOI:10.1145/3239092

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 23 September 2018

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AutomotiveUI '18: 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 23 - 25, 2018

ON, Toronto, Canada

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Presta RTancredi Cde Simone FChiesa SMancuso LMarino L(2023)Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)10.1109/MetroXRAINE58569.2023.10405770(1198-1203)Online publication date: 25-Oct-2023
https://doi.org/10.1109/MetroXRAINE58569.2023.10405770
Götz LRivu RAlt FSchmidt AMäkelä V(2022)Real-World Methods of Autobiographical Recall in Virtual RealityNordic Human-Computer Interaction Conference10.1145/3546155.3546704(1-11)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3546704
De Simone FPresta R(2022)A Song Can Do That: An Emotion Induction Study for the Development of Intelligent Emotion-Aware SystemsIntelligent Systems and Applications10.1007/978-3-031-16078-3_24(363-377)Online publication date: 1-Sep-2022
https://doi.org/10.1007/978-3-031-16078-3_24
Deng ZLyu RYang XZhao XTan H(2022)Effects of Multi-sensory Channel Materials and Emotional Situations in Emotion Induction for Affective Driving StudiesCross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design10.1007/978-3-031-06053-3_10(141-153)Online publication date: 16-Jun-2022
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Lozano-Goupil JBardy BMarin L(2021)Toward an Emotional Individual Motor SignatureFrontiers in Psychology10.3389/fpsyg.2021.64770412Online publication date: 31-May-2021
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Phinnemore RCimolino GSarkar PEtemad AGraham T(2021)Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving CarsProceedings of the 9th International Conference on Human-Agent Interaction10.1145/3472307.3484169(139-147)Online publication date: 9-Nov-2021
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Braun MWeber FAlt F(2021)Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the CarACM Computing Surveys10.1145/346093854:7(1-26)Online publication date: 17-Sep-2021
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Rivu RJiang RMäkelä VHassib MAlt F(2021)Emotion Elicitation Techniques in Virtual RealityHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85623-6_8(93-114)Online publication date: 26-Aug-2021
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Ma YLi JDrewes HButz A(2021)You Sound Relaxed Now – Measuring Restorative Effects from Speech SignalsHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85616-8_34(585-594)Online publication date: 26-Aug-2021
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Speech-based recognition of self-reported and observed emotion in a dimensional space

“I See You”: Comparing the Effects of Affective Empathy and Cognitive Empathy on Drivers' Affective States and Driving Behavior in Frustrating Driving Contexts.

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Speech-based recognition of self-reported and observed emotion in a dimensional space

“I See You”: Comparing the Effects of Affective Empathy and Cognitive Empathy on Drivers' Affective States and Driving Behavior in Frustrating Driving Contexts.

Emotion Elicitation with Stimuli Datasets in Automatic Affect Recognition Studies – Umbrella Review

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