Driver sleepiness on YouTube: A content analysis.

Driver sleepiness is a major contributor to severe crashes and fatalities on our roads. Many people continue to drive despite being aware of feeling tired. Prevention relies heavily on education campaigns as it is difficult to police driver sleepiness. The video sharing social media site YouTube is extremely popular, particularly with at risk driver demographics. Content and popularity of uploaded videos can provide insight into the quality of publicly accessible driver sleepiness information. The purpose of this research was to answer two questions; firstly, how prevalent are driver sleepiness videos on YouTube? And secondly, what are the general characteristics of driver sleepiness videos in terms of (a) outlook on driver sleepiness, (b) tone, (c) countermeasures to driver sleepiness, and, (d) driver demographics. Using a keywords search, 442 relevant videos were found from a five year period (2nd December 2009-2nd December 2014). Tone, outlook, and countermeasure use were thematically coded. Driver demographic and video popularity data also were recorded. The majority of videos portrayed driver sleepiness as dangerous. However, videos that had an outlook towards driver sleepiness being amusing were viewed more often and had more mean per video comments and likes. Humorous videos regardless of outlook, were most popular. Most information regarding countermeasures to deal with driver sleepiness was accurate. Worryingly, 39.8% of videos with countermeasure information contained some kind of ineffective countermeasure. The use of humour to convey messages about the dangers of driver sleepiness may be a useful approach in educational interventions.

[1]  T. Åkerstedt,et al.  Sleepiness, crashes and the effectiveness of countermeasures , 2011 .

[2]  Stephen P. Lewis,et al.  The Scope of Nonsuicidal Self-Injury on YouTube , 2011, Pediatrics.

[3]  T. Åkerstedt,et al.  Consensus Statement: Fatigue and accidents in transport operations , 2000, Journal of sleep research.

[4]  C. Cook,et al.  Sleep related vehicle accidents , 1995, BMJ.

[5]  Ann Williamson,et al.  The link between fatigue and safety. , 2011, Accident; analysis and prevention.

[6]  J. West,et al.  C U L8ter: YouTube distracted driving PSAs use of behavior change theory. , 2014, American journal of health behavior.

[7]  P. Achermann,et al.  Changes of sleep EEG slow‐wave activity in response to sleep manipulations: to what extent are they related to changes in REM sleep latency? , 1995, Journal of sleep research.

[8]  M Latham Driver fatigue and the law , 1995 .

[9]  C. Anderson,et al.  Sleepiness enhances distraction during a monotonous task. , 2006, Sleep.

[10]  J. Horne,et al.  Evaluation "in-car" countermeasures to sleepiness: cold air and radio. , 1998, Sleep.

[11]  Thomas A. Dingus,et al.  The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .

[12]  S. Drummond,et al.  The effects of one night of sleep deprivation on known‐risk and ambiguous‐risk decisions , 2007, Journal of sleep research.

[13]  Peter Fischer,et al.  The effects of risk-glorifying media exposure on risk-positive cognitions, emotions, and behaviors: a meta-analytic review. , 2011, Psychological bulletin.

[14]  B. Bioulac,et al.  Sleepiness, near‐misses and driving accidents among a representative population of French drivers , 2010, Journal of sleep research.

[15]  Simon G Hosking,et al.  Predicting driver drowsiness using vehicle measures: recent insights and future challenges. , 2009, Journal of safety research.

[16]  A. Hawkins,et al.  In-vehicle filming of driver fatigue on YouTube: vlogs, crashes and bad advice , 2015 .

[17]  R. Norton,et al.  Driver sleepiness and risk of serious injury to car occupants: population based case control study , 2002, BMJ : British Medical Journal.

[18]  J. Horne,et al.  Driver sleepiness , 1995, Journal of sleep research.

[19]  Adriana Galván,et al.  The effects of poor quality sleep on brain function and risk taking in adolescence , 2013, NeuroImage.

[20]  M. Hussin,et al.  Fat stigmatization on YouTube: a content analysis. , 2011, Body image.

[21]  G. Tomlinson,et al.  YouTube as a source of information on immunization: a content analysis. , 2007, JAMA.

[22]  T. Åkerstedt,et al.  Driver sleepiness and individual differences in preferences for countermeasures , 2008, Journal of sleep research.

[23]  P. Fischer,et al.  Psychological effects of risk glorification in the media: Towards an integrative view , 2012 .

[24]  S D Baulk,et al.  Countermeasures to driver fatigue: a review of public awareness campaigns and legal approaches , 2005, Australian and New Zealand journal of public health.

[25]  Cynthia G. Akagi YouTube? For Health Education? , 2008 .

[26]  K. Murugiah,et al.  YouTube as a source of information on cardiopulmonary resuscitation. , 2011, Resuscitation.

[27]  Jenni Radun,et al.  Driver fatigue and the law from the perspective of police officers and prosecutors , 2013 .

[28]  Andrew M. Pack,et al.  Characteristics of crashes attributed to the driver having fallen asleep. , 1995, Accident; analysis and prevention.

[29]  James A. Horne,et al.  Driver sleepiness—Comparisons between young and older men during a monotonous afternoon simulated drive , 2012, Biological Psychology.

[30]  Kerry Armstrong,et al.  Efficacy of proxy definitions for identification of fatigue/sleep-related crashes : an Australian evaluation , 2013 .

[31]  K. White,et al.  Promoting Public Health Messages: Should We Move Beyond Fear-Evoking Appeals in Road Safety? , 2007, Qualitative health research.

[32]  A. Pandey,et al.  YouTube as a source of information on dialysis: A content analysis , 2015, Nephrology.

[33]  N. Moore,et al.  Factors associated with serious traffic crashes: a prospective study in southwest France. , 2012, Archives of internal medicine.

[34]  J. Brownstein,et al.  Characterizing Sleep Issues Using Twitter , 2015, Journal of medical Internet research.