Everyday commuting: prediction, actual experience and recall of anger and frustration in the car

This paper presents insights on driver's User Experience (UX) in terms of systematically investigating predicted experience, actual experience, and recalled experience. By conducting a three-week field study with car commuters in two countries, we studied how frustration and anger differentiate in prediction, actual experience, and recall. Our results show that commuters accurately predict their upcoming anger or frustration in a traffic congestion, however, lower their experienced frustration when being recalled. Moreover, unexpected traffic congestions (in contrast to expected ones) are prone to higher levels of anger. We further found that time of day is related to the prediction of anger, and mood is related to the prediction of frustration. With our study we provide a holistic view on commuters' everyday emotions and experiences -- not only when being on the road, but also before and after the trip.

[1]  Amanda N. Stephens,et al.  Anger-congruent behaviour transfers across driving situations , 2011, Cognition & emotion.

[2]  Ira J. Roseman,et al.  Phenomenology , Behaviors , and Goals Differentiate Discrete Emotions , 2004 .

[3]  M. Potegal,et al.  International handbook of anger : constituent and concomitant biological, psychological, and social processes , 2010 .

[4]  Manfred Tscheligi,et al.  Using a Parking Assist System Over Time: Insights on Acceptance and Experiences , 2014, AutomotiveUI.

[5]  M. Rotteveel,et al.  Emotional time travel: Emotion regulation and the overestimation of future anger and sadness , 2012 .

[6]  Erika D Peterson,et al.  Temporal Adjustments in the Evaluation of Events: The "Rosy View" , 1997, Journal of experimental social psychology.

[7]  Ronnie Taib,et al.  Quantifying driver frustration to improve road safety , 2014, CHI Extended Abstracts.

[8]  Shelley E. Taylor,et al.  Heuristics and Biases: When Predictions Fail: The Dilemma of Unrealistic Optimism , 2002 .

[9]  Björn W. Schuller,et al.  Emotion on the Road - Necessity, Acceptance, and Feasibility of Affective Computing in the Car , 2010, Adv. Hum. Comput. Interact..

[10]  Thedy Yogasara,et al.  Anticipated user experience in the early stages of product development , 2014 .

[11]  C. O'fallon,et al.  A wider look at how travellers value the quality and quantity of travel time , 2012 .

[12]  S. Shiffman,et al.  20. Ecological Momentary Assessment , 2013 .

[13]  John Zimmerman,et al.  User experience over time: an initial framework , 2009, CHI.

[14]  Manfred Tscheligi,et al.  Experiential perspectives on road congestions , 2013, CHI Extended Abstracts.

[15]  S. Shiffman,et al.  Ecological momentary assessment. , 2008, Annual review of clinical psychology.

[16]  Timothy D. Wilson,et al.  Affective Forecasting , 2005 .

[17]  Manfred Tscheligi,et al.  Computerized experience sampling in the car: issues and challenges , 2013, AutomotiveUI.

[18]  David L. Van Rooy,et al.  Effects of Automobile Commute Characteristics on Affect and Job Candidate Evaluations A Field Experiment , 2006 .

[19]  L. Berkowitz Frustration-aggression hypothesis: examination and reformulation. , 1989, Psychological bulletin.

[20]  J. Björk,et al.  Relationship between commuting and health outcomes in a cross-sectional population survey in southern Sweden , 2011, BMC public health.

[21]  D. Parker,et al.  Are aggressive people aggressive drivers? A study of the relationship between self-reported general aggressiveness, driver anger and aggressive driving. , 2001, Accident; analysis and prevention.

[22]  Dwight A. Hennessy,et al.  The Impact of Commuter Stress on Workplace Aggression , 2008 .

[23]  Donald A. Norman,et al.  THE WAY I SEE ITMemory is more important than actuality , 2009, INTR.

[24]  Clifford Nass,et al.  Emotion regulation for frustrating driving contexts , 2011, CHI.