Skip to main content
SpringerLink
Log in

Effects of Multi-sensory Channel Materials and Emotional Situations in Emotion Induction for Affective Driving Studies

  • Conference paper
  • First Online:
Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13314))

Included in the following conference series:

  • 1393 Accesses

Abstract

During the driving process, the emotional state of the driver affects their performance significantly. To keep the driver in the most suitable state, inducing the expected emotions effectively is the priority in the research of emotion-aware interfaces and the design of interactive systems. Multi-sensory channel materials and emotional situations are two categories of emotion induction methods with high effects and universality. However, their impact in the driving environment remains unclear. In this study, film clips were selected to represent multi-sensory channel materials, recollections were used to represent emotional situations, and their combinations were employed to investigate their emotion induction effects from the intensity, duration, and purity. Our results demonstrate that the effects of film + autobiographical recollection (F + AR) and autobiographical recollection (AR) are significantly stronger compared to film + non-autobiographical recollection (F + NAR) and film (F). Nevertheless, there are no significant differences between F + AR and AR, F + NAR and F. Thus, applying F + AR in design is suggested in this study. Hopefully, it can provide a reference for the affective issues in future automotive researches.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Li, J., Braun, M., Butz, A., Alt, F.: Designing emotion-aware in-car interactions for unlike markets. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp 352–357 (2019)

    Google Scholar 

  2. Eyben, F., et al.: Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car. Adv. Hum. Comput. Interact. 1–17 (2010)

    Google Scholar 

  3. Hassib, M., Braun, M., Pfleging, B., Alt, F.: Detecting and influencing driver emotions using psycho-physiological sensors and ambient light. In: Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. (eds.) INTERACT 2019. LNCS, vol. 11746, pp. 721–742. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29381-9_43

    Chapter  Google Scholar 

  4. Yerkes, R.M., Dodson, J.D.: The relation of strength of stimulus to rapidity of habit-formation. J. Comp. Neurol. Psychol. 18(5), 459–482 (1908)

    Article  Google Scholar 

  5. Miller, D., et al.: Distraction becomes engagement in automated driving. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 59(1), 1676–1680 (2015)

    Article  Google Scholar 

  6. Solovey, E.T., Zec, M., Perez, E.A.G., Reimer, B., Mehler, B.: Classifying driver workload using physiological and driving performance data: two field studies. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp 4057–4066 (2014)

    Google Scholar 

  7. Xie, Y., Yang, Z.: A comparative study on the validity of different mood induction procedures (MIPs). Studies Psychol. Behav. 14(5), 591–599 (2016)

    Google Scholar 

  8. Posner, J., Russell, J.A., Peterson, B.S.: The circumplex model of affect: an integrative approach toaffective neuroscience, cognitive development, and psychopathology. Dev. Psychopathol. 17(3), 715–734 (2005)

    Article  Google Scholar 

  9. Kuhbandner, C., Zehetleitner, M.: Dissociable effects of valence and arousal in adaptive executive control. PLoS ONE 6(12), e29287 (2011). https://doi.org/10.1371/journal.pone.0029287

    Article  Google Scholar 

  10. Zwosta, K., Hommel, B., Goschke, T., Fischer, R.: Mood states determine the degree of task shielding in dual-task performance. Cogn. Emot. 27(6), 1142–1152 (2013)

    Article  Google Scholar 

  11. Wadlinger, H.A., Isaacowitz, D.M.: Positive mood broadens visual attention to positive stimuli. Motiv. Emot. 30(1), 87–99 (2006)

    Article  Google Scholar 

  12. Dreisbach, G., Goschke, T.: How positive affect modulates cognitive control: reduced perseveration at the cost of increased distractibility. J. Exp. Psychol. Learn. Mem. Cogn. 30(2), 343–353 (2004)

    Article  Google Scholar 

  13. Rowe, G., Hirsh, J.B., Anderson, A.K.: Positive affect increases the breadth of attentional selection. Proc. Natl. Acad. Sci. U.S.A. 104(1), 383–388 (2007)

    Article  Google Scholar 

  14. Fakhrhosseini, S.M., Jeon, M.: Chapter 10 – affect/emotion induction methods. In: Emotions and Affect in Human Factors and Human-Computer Interaction, pp. 235–253. Elsevier (2017). https://doi.org/10.1016/B978-0-12-801851-4.00010-0

    Chapter  Google Scholar 

  15. Zheng, P., Liu, C., Yu, G.: An overview of mood-induction methods. Psychol. Sci. 20(1), 14–55 (2011)

    Google Scholar 

  16. Gaggioli, A., Magoni, S., Chirico, A.: Effects of autobiographical self-referencing on presence and emotions in immersive storytelling: an exploratory study. In: CYPSY24: 24th Annual CyberPsychology, CyberTherapy & Social Networking Conference (2019)

    Google Scholar 

  17. Zeng, Z., Pantic, M., Roisman, G.I., Huang, T.S.: A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Trans. Pattern Anal. Mach. Intell. 31(1), 39–58 (2009)

    Article  Google Scholar 

  18. Russell, J.A., Bachorowski, J.A., Fernandez-Dols, J.M.: Facial and vocal expressions of emotion. Annu. Rev. Psychol. 54, 329–349 (2003)

    Article  Google Scholar 

  19. Goeleven, E., Raedt, R.D., Leyman, L., Verschuere, B.: The karolinska directed emotional faces: a validation study. Cogn. Emot. 22(6), 1094–1118 (2008)

    Article  Google Scholar 

  20. Baveye, Y., Chamaret, C., Dellandrea, E., Chen, L.: Affective video content analysis: a multidisciplinary insight. IEEE Trans. Affect. Comput. 9(4), 396–409 (2018)

    Article  Google Scholar 

  21. Philippot, P.: Inducing and assessing differentiated emotion-feeling states in the laboratory. Cogn. Emot. 7(2), 171–193 (1993)

    Article  Google Scholar 

  22. Gross, J.J., Levenson, R.W.: Emotion elicitation using films. Cogn. Emot. 9(1), 87–108 (1995)

    Article  Google Scholar 

  23. Hagemann, D., Naumann, E., Maier, S., Becker, G., Lurken, A., Bartussek, D.: The assessment of affective reactivity using films: validity, reliability and sex differences. Personality Individ. Differ. 26(4), 627–639 (1999)

    Article  Google Scholar 

  24. Uhrig, M., et al.: Emotion elicitation: a comparison of pictures and films. Front. Psychol. 180–180 (2016)

    Google Scholar 

  25. Matsumoto, D.: The role of facial response in the experience of emotion: more methodological problems and a meta-analysis. J. Pers. Soc. Psychol. 52(4), 769–774 (1987)

    Article  Google Scholar 

  26. Debevec, K., Romeo, J.B.: Self-referent processing in perceptions of verbal and visual commercial information. J. Consum. Psychol. 1(1), 83–102 (1992)

    Article  Google Scholar 

  27. Brewer, D.H., Doughtie, E.B., Lubin, B.: Induction of mood and mood shift. J. Clin. Psychol. 36(1), 215–226 (1980)

    Article  Google Scholar 

  28. Baker, R.C., Guttfreund, D.O.: The effects of written autobiographical recollection induction procedures on mood. J. Clin. Psychol. 49(4), 563–568 (1993)

    Article  Google Scholar 

  29. Wright, J.C., Mischel, W.: Influence of affect on cognitive social learning person variables. J. Pers. Soc. Psychol. 43(5), 901–914 (1982)

    Article  Google Scholar 

  30. Jallais, C., Gilet, A.: Inducing changes in arousal and valence: comparison of two mood induction procedures. Behav. Res. Methods 42(1), 318–325 (2010)

    Article  Google Scholar 

  31. Braun, M., Weiser, S., Pfleging, B., Alt, F.: A Comparison of Emotion Elicitation Methods for Affective Driving Studies. In Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 77–81 (2018)

    Google Scholar 

  32. Escalas, J.E.: Self-referencing and persuasion: narrative transportation versus analytical elaboration. J. Consum. Res. 33(4), 421–429 (2007)

    Article  Google Scholar 

  33. West, P.M., Huber, J., Min, K.S.: Altering experienced utility: the impact of story writing and self‐referencing on preferences. J. Consum. Res. 31(3), 623–630 (2004). https://doi.org/10.1086/425097

    Article  Google Scholar 

  34. Jin, X., Deng, G., Jing, M., L, G.: The evaluation of emotion elicitation effect of videos. Psychol. Explor. 29(6), 83–87 (2009)

    Google Scholar 

  35. Braun, M., Serres, K.: ASAM: an emotion sampling method for the automotive industry. In: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, pp 230–232 (2017)

    Google Scholar 

  36. Westermann, R., Spies, K., Stahl, G., Hesse, F.W.: Relative effectiveness and validity of mood induction procedures: a meta-analysis. Eur. J. Soc. Psychol. 26(4), 557–580 (1996)

    Article  Google Scholar 

  37. Janssen, J.H., et al.: Machines outperform laypersons in recognizing emotions elicited by autobiographical recollection. Hum. Comput. Interact. 28(6), 479–517 (2013)

    Article  Google Scholar 

  38. IJsselsteijn, W.A.: Presence in the past: what can we learn from media history?. In: Being There: Concepts, Effects and Measurements of User Presence in Synthetic Environments, pp. 17–40. Ios Press (2003)

    Google Scholar 

  39. Fredrickson, B.L., Kahneman, D.: Duration neglect in retrospective evaluations of affective episodes. J. Pers. Soc. Psychol. 65(1), 45–55 (1993)

    Article  Google Scholar 

  40. Baños, R.M., Botella, C., Alcañiz, M., Liaño, V., Guerrero, B., Rey, B.: Immersion and emotion: their impact on the sense of presence. Cyberpsychol. Behav. 7(6), 734–741 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hunan University, Changsha Hunan, 410006, China

    Zeling Deng, Ruiying Lyu, Xin Yang, Xue Zhao & Hao Tan

Authors
  1. Zeling Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ruiying Lyu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xin Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xue Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hao Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hao Tan .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Deng, Z., Lyu, R., Yang, X., Zhao, X., Tan, H. (2022). Effects of Multi-sensory Channel Materials and Emotional Situations in Emotion Induction for Affective Driving Studies. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06053-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06052-6

  • Online ISBN: 978-3-031-06053-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation