The Consequences of Unexpected Emotional Sounds on Driving Behaviour in Risky Situations

Recent development of systems for assisted driving has raised questions about what features of the stimuli perceived by a driver may improve driving behaviour and road safety. The present study aimed to uncover whether emotional auditory stimuli can affect risky behaviour in hazardous situations. Forty-nine volunteers rode a motorcycle in a virtual environment and went through a number of preset risky scenarios, some of which were cued by a sound (a beep, a positive emotional sound or a negative sound). Results showed that hearing the beep reduced the frequency of accidents in the upcoming risky situation, while the emotional cues did not. Likewise, the beep induced the drivers to decrease their speed and focus their gaze on relevant areas of the visual field, while the emotional sounds did not. These results suggest that auditory warning systems for vehicles should avoid using emotion-laden sounds, as their affective content might diminish their utility to increase driving alertness. These findings could provide important information for the development of new advanced driver assistance systems and in general for the specification of future Human-Machine-Interaction design guidelines.

[1]  Boris M. Velichkovsky,et al.  Towards an express-diagnostics for level of processing and hazard perception , 2002 .

[2]  Daniel V. McGehee,et al.  Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator , 2002, Hum. Factors.

[3]  H. Pashler The Psychology of Attention , 1997 .

[4]  A. Damasio Descartes' error: emotion, reason, and the human brain. avon books , 1994 .

[5]  A. Maldonado,et al.  Risk behaviour and mental workload: Multimodal assessment techniques applied to motorbike riding simulation , 2009 .

[6]  Luiz Pessoa,et al.  Affective Learning Enhances Visual Detection and Responses in Primary Visual Cortex , 2008, The Journal of Neuroscience.

[7]  F S Pons,et al.  Facing Challenges and Requirements for in-vehicle intelligent applications , 2006 .

[8]  Densil Cabrera,et al.  Considerations arising from the development of auditory alerts for air traffic control consoles , 2005 .

[9]  Motoaki Deguchi,et al.  Basic research for a new airbag system for motorcycle , 2007 .

[10]  Christopher K. Hsee,et al.  Risk as Feelings , 2001, Psychological bulletin.

[11]  Rebekka S. Renner,et al.  Saccadic peak velocity sensitivity to variations in mental workload. , 2010, Aviation, space, and environmental medicine.

[12]  A. Ohman,et al.  Emotion drives attention: detecting the snake in the grass. , 2001, Journal of experimental psychology. General.

[13]  A. Anderson,et al.  Lesions of the human amygdala impair enhanced perception of emotionally salient events , 2001, Nature.

[14]  P. Carlo Cacciabue,et al.  Modelling Driver Behaviour in Automotive Environments: Critical Issues in Driver Interactions with Intelligent Transport Systems , 2007 .

[15]  Mike McDonald,et al.  Advanced Driver Assistance Systems from Autonomous to Cooperative Approach , 2008 .

[16]  H. Pashler,et al.  Central Interference in Driving , 2006, Psychological science.

[17]  N. Moray Mental workload : its theory and measurement , 1979 .

[18]  P. Vuilleumier,et al.  How brains beware: neural mechanisms of emotional attention , 2005, Trends in Cognitive Sciences.

[19]  John D. Lee,et al.  Driver Distraction : Theory, Effects, and Mitigation , 2008 .

[20]  R. Schleicher,et al.  Blinks and saccades as indicators of fatigue in sleepiness warners: looking tired? , 2022 .

[21]  A. Damasio Descartes’ Error. Emotion, Reason and the Human Brain. New York (Grosset/Putnam) 1994. , 1994 .

[22]  John D Lee,et al.  Auditory alerts for in-vehicle information systems: The effects of temporal conflict and sound parameters on driver attitudes and performance , 2004, Ergonomics.

[23]  J. C. Miller,et al.  Electrooculographic and performance indices of fatigue during simulated flight , 1996, Biological Psychology.

[24]  R J Fairbanks,et al.  RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT , 1994 .

[25]  Rafaela R. Campagnoli,et al.  Sustained and transient modulation of performance induced by emotional picture viewing. , 2006, Emotion.

[26]  John D. Lee,et al.  Effects of Multiple Auditory Alerts for in-Vehicle Information Systems on Driver Attitudes and Performance , 2001 .

[27]  Dinkar Sharma,et al.  Strategic regulation of cognitive control by emotional salience: A neural network model , 2008 .

[28]  M. Botvinick,et al.  Conflict monitoring and cognitive control. , 2001, Psychological review.

[29]  J. Cellier,et al.  Emotions drive attention: Effects on driver’s behaviour , 2009 .

[30]  Michael G. Lenné,et al.  Detection of Emergency Vehicles: Driver Responses to Advance Warning in a Driving Simulator , 2008, Hum. Factors.

[31]  G Underwood,et al.  Visual attention and the transition from novice to advanced driver , 2007, Ergonomics.

[32]  E. Grandjean,et al.  Fitting the task to the man: An ergonomic approach , 1980 .

[33]  M. Bradley,et al.  Emotional arousal and activation of the visual cortex: an fMRI analysis. , 1998, Psychophysiology.

[34]  T. B. Sheridan,et al.  Definitions, Models and Measures of Human Workload , 1979 .

[35]  Ingrid van Schagen,et al.  Driving speed and the risk of road crashes: a review. , 2006, Accident; analysis and prevention.

[36]  G. Mulder,et al.  Final Report of Physiological Psychology Group , 1979 .

[37]  Michael A. Regan,et al.  Intelligent transport systems and motorcycle safety , 2006 .

[38]  Patrik Vuilleumier,et al.  Emotional facial expressions capture attention , 2001, Neurology.

[39]  F. J. Domínguez,et al.  El Sistema Internacional de Sonidos Afectivos (IADS): adaptación española , 2008 .