Ronald Schroeter
ABSTRACT
Young males are over-represented in road crashes. Part of the problem is their proneness to boredom, a hardwired personality factor that can lead to risky driving. This paper presents a theoretical understanding of boredom in the driving context and demonstrates convincing arguments to investigate the role of boredom further. Specifically, this paper calls for the design of innovative technologies and applications that make safe driving more pleasurable and stimulating for young males, e.g., by applying gamification techniques. We propose two design concepts through the following questions: A. Can the simulation of risky driving reduce actual risky driving? B. Can the replacement of risky driving stimuli with alternative stimuli reduce risky driving? We argue that considering these questions in the future design of automotive user-interfaces and personal ubiquitous computing devices could effectively reduce risky driving behaviours among young males.
- Baddeley, A. Working Memory. Science, 255, 5044 (1992), 556--559.Google Scholar
- Ball, I.L., Farnill, D. and Wangeman, J.F. Sex and Age Differences in Sensation Seeking: Some National Comparisons. British Journal of Psychology, 75, 2 (1984), 257--265.Google Scholar
- Beanland, V., Fitzharris, M., Young, K.L. and Lenné, M.G. Driver Inattention and Driver Distraction in Serious Casualty Crashes: Data from the Australian National Crash in-Depth Study. Accident Analysis & Prevention, 54, 0 (2013), 99--107.Google ScholarCross Ref
- Boksem, M.A., Meijman, T.F. and Lorist, M.M. Effects of Mental Fatigue on Attention: An Erp Study. Cognitive Brain Research, 25, 1 (2005), 107--116.Google ScholarCross Ref
- Bureau of Infrastructure, Transport and Regional Economics (BITRE). Road Deaths Australia - 2012 Statistical Summary, Canberra, Australia, 2013.Google Scholar
- CARRS-Q. Distraction and Inattention Fact Sheet -Mobile Pone Use & Distraction While Driving, CARRS-Q, Brisbane, QLD, 2012.Google Scholar
- Dahlen, E.R., Martin, R.C., Ragan, K. and Kuhlman, M.M. Boredom Proneness in Anger and Aggression: Effects of Impulsiveness and Sensation Seeking. Personality and Individual Differences, 37, 8 (2004), 1615--1627.Google Scholar
- Daschmann, E.C., Goetz, T. and Stupnisky, R.H. Testing the Predictors of Boredom at School: Development and Validation of the Precursors to Boredom Scales. British Journal of Educational Psychology, 81, 3 (2011), 421--440.Google ScholarCross Ref
- Deterding, S., Dixon, D., Khaled, R. and Nacke, L. From Game Design Elements to Gamefulness: Defining "Gamification". In Proc. MindTrek 2011, ACM (2011), 9--15. Google ScholarDigital Library
- Deterding, S., O'Hara, K., Sicart, M., Dixon, D. and Nacke, L., Gamification: Using Game Design Elements in Non-Gaming Contexts. In Proc. CHI EA 2011 ACM (2011), 2425--2428. Google ScholarDigital Library
- Diewald, S., Möller, A., Roalter, L., Stockinger, T. and Kranz, M., Gameful Design in the Automotive Domain - Review, Outlook and Challenges. In Proc. AutomotiveUI 2013 (2013), 262--265. Google ScholarDigital Library
- Drory, A. Individual Differences in Boredom Proneness and Task Effectiveness at Work. Personnel Psychology, 35, 1 (1982), 141--151.Google ScholarCross Ref
- Eastwood, J.D., Frischen, A., Fenske, M.J. and Smilek, D. The Unengaged Mind: Defining Boredom in Terms of Attention. Perspectives in Psychological Science(2012).Google Scholar
- Fahlman, S., Mercer-Lynn, K., Flora, D.B. and Eastwood, J.D. Development and Validation of the Multidimensional State Boredom Scale. Assessment, 20, 1 (2013), 68--85.Google Scholar
- Fuller, R. Chapter 2 - Driver Control Theory: From Task Difficulty Homeostasis to Risk Allostasis. In Porter, B.E. ed. Handbook of Traffic Psychology, Academic Press, San Diego, 2011, 13--26.Google Scholar
- Fuller, R. Towards a General Theory of Driver Behaviour. Accident Analysis & Prevention, 37, 3 (2005), 461--472.Google ScholarCross Ref
- Geiwitz, P.J. Structure of Boredom. Journal of Personality and Social Psychology, 3, 5 (1966), 592--600.Google ScholarCross Ref
- Gordon, A., Wilkinson, R., McGown, A. and Jovanoska, S. The Psychometric Properties of the Boredom Proneness Scale: An Examination of Its Validity. Psychological Studies, 42, 2-3 (1997), 85--97.Google Scholar
- Hallford, N. and Hallford, J. Swords & Circuitry: A Designer's Guide to Computer Role Playing Games. Prime Publishing, Roseville, CA, 2001. Google ScholarDigital Library
- Hamari, J., Koivisto, J. and Pakkanen, T. Do Persuasive Technologies Persuade? - a Review of Empirical Studies. In Spagnolli, A., et al. eds. Persuasive Technology, Springer International Publishing, 2014, 118--136.Google Scholar
- Hamari, J., Koivisto, J., Sarsa, H. and Hamari, J., Does Gamification Work? - a Literature Review of Empirical Studies on Gamification. In Proc. HICSS 2014 (2014). Google ScholarDigital Library
- Hamilton, J.A. Attention, Personality, and the Self-Regulation of Mood: Absorbing Interest and Boredom. Progress in experimental personality research, 10, 28 (1981), 1--315.Google Scholar
- Hamilton-Baillie, B. Towards Shared Space. Urban Design International, 13, 2 (2008), 130--138.Google ScholarCross Ref
- Harvey, J., Heslop, S. and Thorpe, N. The Categorisation of Drivers in Relation to Boredom. Transportation Planning and Technology, 34, 1 (2010), 51--69.Google Scholar
- Heslop, S. Driver Boredom: Its Human Antecedents and Behavioural Consequences. (2012).Google Scholar
- Hill, A.B. Work Variety and Individual Differences in Occupational Boredom. Journal of Applied Psychology, 60, 1 (1975), 128--131.Google ScholarCross Ref
- Insurance Institute for Highway Safety Texting Bans. Status Report, 45, 10 (2010), 1--3.Google Scholar
- Kass, S.J., Cole, K.S. and Stanny, C.J. Effects of Distraction and Experience on Situation Awareness and Simulated Driving. Transportation Research Part F: Traffic Psychology and Behaviour, 10, 4 (2007), 321--329.Google Scholar
- Liu, C., Chen, C.L., Subramanian, R. and Utter, D. Analysis of Speeding-Related Fatal Motor Vehicle Traffic Crashes, National Highway Traffic Safety Administration, Washington D.C., 2005.Google Scholar
- Lorist, M.M., Boksem, M.A.S. and Ridderinkhof, K.R. Impaired Cognitive Control and Reduced Cingulate Activity During Mental Fatigue. Cognitive Brain Research, 24, 2 (2005), 199--205.Google Scholar
- Malkovsky, E., Merrifield, C., Goldberg, Y. and Danckert, J. Exploring the Relationship between Boredom and Sustained Attention. Experimental Brain Research, 221, 1 (2012), 59--67.Google ScholarCross Ref
- Mercer-Lynn, K.B., Hunter, J.A. and Eastwood, J.D. Is Trait Boredom Redundant? Journal of Social and Clinical Psychology, 32, 8 (2013), 897--916.Google ScholarCross Ref
- Mikulas, W.L. and Vodanovich, S.J. The Essence of Boredom. The Psychological Record, 43, 1 (1993), 3--12.Google Scholar
- Miller, G.A. The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information. Psychological Review, 63, 2 (1956), 81.Google ScholarCross Ref
- Palmer, D., Lunceford, S. and Patton, A. The Engagement Economy: How Gamification Is Reshaping Businesses. Deloite Review, 11 (2012).Google Scholar
- Pekrun, R. The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice. Educational Psychology Review, 18, 4 (2006), 315--341.Google ScholarCross Ref
- Richter, E.D., Berman, T., Friedman, L. and Ben-David, G. Speed, Road Injury, and Public Health. Annual Review of Public Health, 27(2006), 125--152.Google ScholarCross Ref
- Salen, K. and Zimmerman, E. Rules of Play: Game Design Fundamentals. MIT press, Boston, MA, 2004. Google ScholarDigital Library
- Schroeter, R. and Rakotonirainy, A., The Future Shape of Digital Cars. In Proc. Australasian Road Safety Research, Policing and Education Conference 2012 (2012).Google Scholar
- Schroeter, R., Rakotonirainy, A. and Foth, M., The Social Car: New Interactive Vehicular Applications Derived from Social Media and Urban Informatics. In Proc. AutomotiveUI 2012, ACM (2012), 107--110. Google ScholarDigital Library
- Schroeter, R., Soro, A. and Rakotonirainy, A. Social Cars: Sensing, Gathering, Sharing and Conveying Social Cues to Road Users. In Guo, B., et al. eds. Creating Personal, Social, and Urban Awareness through Pervasive Computing, IGI Global, Hershey, PA, 2013 (in press).Google Scholar
- Schultz, J. Speed Camera Lottery Wins VW Fun Theory Contest. The New York Times, November, 2010.Google Scholar
- Shi, C., Lee, H.J., Kurczal, J. and Lee, A. Routine Driving Infotainment App: Gamification of Performance Driving. In Proc. AutomotiveUI 2012 (2012), 181--183.Google Scholar
- Soames-Job, R.F. and Dalziel, J. Defining Fatigue as a Condition of the Organism and Distinguishing It from Habituation, Adaptation, and Boredom. Hancock, P.A., et al. eds. Stress, workload, and fatigue, Lawrence Erlbaum Associates, ahwah, NJ, 2001, 466--475.Google Scholar
- Strayer, D.L. and Drews, F.A. Cell-Phone: Induced Driver Distraction. Current Directions in Psychological Science, 16, 3 (2007), 128--131.Google ScholarCross Ref
- Sweller, J. Cognitive Load During Problem Solving: Effects on Learning. Cognitive science, 12, 2 (1988), 257--285.Google Scholar
- Thiffault, P. and Bergeron, J. Monotony of Road Environment and Driver Fatigue: A Simulator Study. Accident Analysis & Prevention, 35, 3 (2003), 381--391.Google ScholarCross Ref
- van der Linden, D., Frese, M. and Meijman, T.F. Mental Fatigue and the Control of Cognitive Processes: Effects on Perseveration and Planning. Acta Psychologica, 113, 1 (2003), 45--65.Google Scholar
- Vodanovich, S.J., Wallace, J.C. and Kass, S.J. A Confirmatory Approach to the Factor Structure of the Boredom Proneness Scale: Evidence for a Two-Factor Short Form. Journal of Personality Assessment, 85, 3 (2005), 295--303.Google ScholarCross Ref
- Watson, B., Watson, A., Siskind, V. and Fleiter, J.J. Characteristics and Predictors of High-Range Speeding Offenders. In Proc. Characteristics and Predictors of High-Range Speeding Offenders (2009).Google Scholar
- Wilde, G.J.S. The Theory of Risk Homeostasis: Implications for Safety and Health. Risk Analysis, 2, 4 (1982), 209--225.Google Scholar
- Zuckerman, M. Behavioral Expressions and Biosocial Bases of Sensation Seeking. Cambridge university press, New York, NY, 1994.Google Scholar
- Zuckerman, M., Eysenck, S.B. and Eysenck, H.J. Sensation Seeking in England and America: Cross-Cultural, Age, and Sex Comparisons. Journal of Consulting and Clinical Psychology, 46, 1 (1978), 139.Google ScholarCross Ref
Index Terms
- AR and Gamification Concepts to Reduce Driver Boredom and Risk Taking Behaviours
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