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Emotional Feedback to Mitigate Aggressive Driving: A Real-World Driving Study

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Persuasive Technology (PERSUASIVE 2021)

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Abstract

Without doubt, aggressive driving is a serious hazard on our roads. The problem with common measures against aggressive driving (e.g., speeding cameras) is that they force drivers to change their behavior, which can make them feel even more aggressive and lead to reactance. As an alternative solution that persuades people to drive less aggressively, the Driving Feedback Avatar (DFA) was developed. The DFA is an in-car interface that provides visual feedback on a driver’s behavior with a focus on aggressive driving. Summative feedback is represented by an avatar that gradually changes its emotional state depending on the behavior. Instant feedback is given in the form of a flashing light directly after the aggressive action occurred. The paper presents a driving study that investigated the effectiveness of the DFA in real traffic. In a within-subjects design, 32 participants completed a test drive with and without a prototype of the system while their driving behavior was logged. Based on the logs, nine behaviors that were considered indicators of aggressive driving were compared within both conditions. Although participants did not drive significantly less aggressively under the system’s influence, it is remarkable that they generally showed less discrete aggressive driving behaviors (e.g., use of indicators) but—contrary to expectations—more continuous ones (e.g., speeding). The paper concludes with directions for future iterations of the DFA.

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References

  1. Statistisches Bundesamt: Fehlverhalten der Fahrzeugführer bei Unfällen mit Personenschaden. https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Verkehrsunfaelle/Tabellen/fehlverhalten-fahrzeugfuehrer.html

  2. Smart, R.G., Asbridge, M., Mann, R.E., Adlaf, E.M.: Psychiatric distress among road rage victims and perpetrators. Can. J. Psychiatry. 48, 681–688 (2003)

    Article  Google Scholar 

  3. Shinar, D.: Aggressive driving: the contribution of the drivers and the situation. Transp. Res. Part F Traffic Psychol. Behav. 1(2), 137–160 (1998)

    Google Scholar 

  4. Brehm, J.W.: Theory of Psychological Reactance. Academic Press, New York (1966)

    Google Scholar 

  5. Mäkinen, T., et al.: Traffic enforcement in Europe: effects, measures, needs and future. Technical Research Centre of Finland, Espoo (2003)

    Google Scholar 

  6. Oinas-Kukkonen, H., Harjumaa, M.: Towards deeper understanding of persuasion in software and information systems. In: Proceedings of the ACHI 2008 International Conference on Advances in Computer-Human Interaction, pp. 200–205. ACM, New York (2008)

    Google Scholar 

  7. Dahlinger, A., Wortmann, F., Ryder, B., Gahr, B.: The impact of abstract vs. concrete feedback information on behavior – insights from a large eco-driving field experiment. In: Proceedings of the CHI 2018 Conference on Human Factors in Computing Systems, pp. 379–390. ACM, New York (2018)

    Google Scholar 

  8. Meschtscherjakov, A., Wilfinger, D., Scherndl, T., Tscheligi, M.: Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour. In: Proceedings of the Automotive’UI 2009 Conference on Automotive User Interfaces and Interactive Vehicular, pp. 81–88. ACM, New York (2009)

    Google Scholar 

  9. Adell, E., Várhelyi, A., Hjälmdahl, M.: Auditory and haptic systems for in-car speed management – a comparative real life study. Transp. Res. Part F Traffic Psychol. Behav. 11(6), 445–458 (2008)

    Google Scholar 

  10. Arroyo, E., Sullivan, S., Selker, T.: CarCOACH: a polite and effective driving COACH. In: Extended Abstracts of the CHI 2006 Conference on Human Factors in Computing Systems, pp. 357–362. ACM, New York (2006)

    Google Scholar 

  11. Dittrich, M.: Persuasive Technology to mitigate aggressive driving - A human-centered design approach (2020)

    Google Scholar 

  12. Clarke, T., Costall, A.: The emotional connotations of color: a qualitative investigation. Color Res. Appl. 33, 406–410 (2008)

    Article  Google Scholar 

  13. Peter, C., Herbon, A.: Emotion representation and physiology assignments in digital systems. Interact. Comput. 18, 139–170 (2006)

    Article  Google Scholar 

  14. Chan, A.H.S., Ng, A.W.Y.: Perceptions of implied hazard for visual and auditory alerting signals. Saf. Sci. 47, 346–352 (2009)

    Article  Google Scholar 

  15. Higgins, E.T.: Beyond pleasure and pain. Am. Psychol. 52, 1280–1300 (1997)

    Article  Google Scholar 

  16. Van Dijk, D., Kluger, A.N.: Task type as a moderator of positive/negative feedback effects on motivation and performance: a regulatory focus perspective. J. Organ. Behav. 32, 1084–1105 (2011)

    Article  Google Scholar 

  17. Byrne, S., et al.: When i eat so bad, my pet looks so sad. J. Child. Media 6, 83–99 (2012)

    Article  Google Scholar 

  18. Ham, J., Midden, C.J.H.: A persuasive robot to stimulate energy conservation: the influence of positive and negative social feedback and task similarity on energy-consumption behavior. Int. J. Soc. Robot. 6(2), 163–171 (2013). https://doi.org/10.1007/s12369-013-0205-z

    Article  Google Scholar 

  19. Dula, C.S., Ballard, M.E.: Development and evaluation of a measure of dangerous, aggressive, negative emotional, and risky driving. J. Appl. Soc. Psychol. 33, 263–282 (2003)

    Article  Google Scholar 

  20. Özkan, T., Lajunen, T.: A new addition to DBQ: positive driver behaviours scale. Transp. Res. Part F Traffic Psychol. Behav. 8, 355–368 (2005)

    Google Scholar 

  21. Harris, P.B., et al.: The prosocial and aggressive driving inventory (PADI): a self-report measure of safe and unsafe driving behaviors. Accid. Anal. Prev. 72, 1–8 (2014)

    Article  Google Scholar 

  22. Alonso, F., Esteban, C., Montoro, L., Serge, A.: Conceptualization of aggressive driving behaviors through a Perception of aggressive driving scale (PAD). Transp. Res. Part F Traffic Psychol. Behav. 60, 415–426 (2019)

    Google Scholar 

  23. Fogg, B.J.: Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann Publishers, Burlington (2003)

    Book  Google Scholar 

  24. Frude, N., Jandrić, P.: The intimate machine – 30 years on. E-Learn. Digit. Media 12, 410–424 (2015)

    Article  Google Scholar 

  25. Lawton, L.: Taken by the Tamagotchi: how a toy changed the perspective on mobile technology. J. Grad. Stud. J. Fac. Inf. 2, 1–9 (2017)

    Google Scholar 

  26. Martelaro, N., Ju, W.: WoZ Way: enabling real-time remote interaction prototyping & observation in on-road vehicles. In: Proceedings of the CSCW 2017 Conference on Computer Supported Cooperative Work and Social Computing, pp. 21–24. ACM, New York (2017)

    Google Scholar 

  27. Taylor, A., Atkins, R., Kumar, R., Adams, D., Glover, V.: A new mother-to-infant bonding scale: links with early maternal mood. Arch. Womens Ment. Health 8, 45–51 (2005)

    Article  Google Scholar 

  28. Pauzie, A.: A method to assess the driver mental workload: the driving activity load index (DALI). IET Intell. Transp. Syst. 2, 315–322 (2009)

    Article  Google Scholar 

  29. Cohen, J.: Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates, New Jersey (1988)

    MATH  Google Scholar 

  30. Nakagawa, Y., Park, K., Ueda, H., Ono, H.: Being watched over by a conversation robot enhances safety in simulated driving. Soc. Des. Eng. Ser. 16, 1–33 (2017)

    Google Scholar 

  31. Fröhlich, M., Pieter, A.: Cohen’s effektstärken als mass der bewertung von praktischer relevanz - implikationen für die praxis. Schweizerische Zeitschrift für Sport. und Sport. 57, 139–142 (2009)

    Google Scholar 

  32. Mugge, R., Schoormans, J.P.L., Schifferstein, H.N.J.: Emotional bonding with personalised products. J. Eng. Des. 20, 467–476 (2009)

    Article  Google Scholar 

  33. Hertlein, K.M., Twist, M.L.C.: Attachment to technology: the missing link. J. Couple Relat. Ther. 17, 2–6 (2018)

    Article  Google Scholar 

  34. Feng, J., Donmez, B.: Design of effective feedback: understanding driver, feedback, and their interaction. In: Proceedings of the International Driving Symposium 2013 on Human Factors in Driver Assessment, Training and Vehicle Design (2013)

    Google Scholar 

  35. Spiekermann, S., Pallas, F.: Technology paternalism - wider implications of ubiquitous computing. Poiesis und Prax. 4, 6–18 (2006)

    Article  Google Scholar 

  36. Uludag, O.: Fair and square: how does perceptions of fairness is associated to aggression? Procedia Soc. Behav. Sci. 143, 504–508 (2014)

    Article  Google Scholar 

  37. Kluger, A.N., DeNisi, A.: The effects of feedback interventions on performance: a historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychol. Bull. 119(2), 254–284 (1996)

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Würzburg, 97070, Würzburg, Germany

    Monique Dittrich

  2. Chemnitz University of Technology, 09111, Chemnitz, Germany

    Nils Mathew

Authors
  1. Monique Dittrich
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  2. Nils Mathew
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Correspondence to Monique Dittrich .

Editor information

Editors and Affiliations

  1. Hamad bin Khalifa University, Education City, Doha, Qatar

    Raian Ali

  2. University of Würzburg, Würzburg, Germany

    Birgit Lugrin

  3. Bournemouth University, Poole, UK

    Fred Charles

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Dittrich, M., Mathew, N. (2021). Emotional Feedback to Mitigate Aggressive Driving: A Real-World Driving Study. In: Ali, R., Lugrin, B., Charles, F. (eds) Persuasive Technology. PERSUASIVE 2021. Lecture Notes in Computer Science(), vol 12684. Springer, Cham. https://doi.org/10.1007/978-3-030-79460-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-79460-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79459-0

  • Online ISBN: 978-3-030-79460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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