Evaluating public education messages aimed at monitoring and responding to social interactive technology on smartphones among young drivers.

Young drivers are more likely than any other age group to access social interactive technology (e.g., Facebook, E-mail) on a smartphone while driving. The current study formed part of a larger investigation and was guided by The Step Approach to Message Design and Testing (SatMDT) to evaluate the relative effectiveness of three different public education messages aimed at reducing smartphone use among young drivers. The messages were each adapted to the specific behaviours of monitoring/reading and responding to social interactive technology on smartphones. Participants (n=288; 199F, 89M) were drivers aged 17-25 years who resided in the Australian state of Queensland. Message acceptance (i.e., intention and effectiveness) and message rejection were both assessed using a self-report survey. Multivariate analyses found that, overall, the messages targeting monitoring/reading behaviour were considered more effective than those targeting responding behaviour. The message that challenged the underlying motivation that believing you are a good driver makes it easier to monitor/read social interactive technology while driving was considered particularly effective by young male drivers.

[1]  M. Cismaru Using the Extended Parallel Process Model to Understand Texting While Driving and Guide Communication Campaigns Against It , 2014 .

[2]  John T. Cacioppo,et al.  The Elaboration Likelihood Model of Persuasion , 1986, Advances in Experimental Social Psychology.

[3]  I. Ajzen The theory of planned behavior , 1991 .

[4]  James Price Dillard,et al.  The Multiple Affective Outcomes of AIDS PSAs , 1996 .

[5]  I. Ajzen,et al.  Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .

[6]  Barry Elliott Beyond reviews of road safety mass media campaigns: Looking elsewhere for new insights , 2011 .

[7]  K. White,et al.  An examination of message-relevant affect in road safety messages : should road safety advertisements aim to make us feel good or bad? , 2008 .

[8]  Richard Tay,et al.  Drivers' perception of two seatbelt wearing advertisements with different emotional appeals and cultural settings , 2011 .

[9]  Richard Tay,et al.  Examining the effectiveness of physical threats in road safety advertising: The role of the third-person effect, gender, and age , 2007 .

[10]  M. White,et al.  Young drivers' optimism bias for accident risk and driving skill: Accountability and insight experience manipulations. , 2011, Accident; analysis and prevention.

[11]  Barry Watson,et al.  Young drivers' engagement with social interactive technology on their smartphone: Critical beliefs to target in public education messages. , 2016, Accident; analysis and prevention.

[12]  Ioni M. Lewis,et al.  What do we really know about designing and evaluating road safety: advertising?: current knowledge and future challenges , 2009 .

[13]  Lisa N. Wundersitz,et al.  What can we learn from recent evaluations of road safety mass media campaigns , 2011 .

[14]  I. Ajzen,et al.  Predicting dishonest actions using the theory of planned behavior , 1991 .

[15]  Nancy K. Baym,et al.  Personal Connections in the Digital Age , 1994 .

[16]  Kim Witte,et al.  Using scare tactics to promote safer sex among juvenile detention and high school youth , 1995 .

[17]  Barry C. Watson,et al.  Exploring how parents and peers influence the behaviour of young drivers , 2009 .

[18]  Fred Wegman,et al.  Improving the effectiveness of road safety campaigns: Current and new practices , 2011 .

[19]  K M White,et al.  Response efficacy: the key to minimizing rejection and maximizing acceptance of emotion-based anti-speeding messages. , 2010, Accident; analysis and prevention.

[20]  Alexia Lennon,et al.  Designing and evaluating a persuasive child restraint television commercial , 2016, Traffic injury prevention.

[21]  Barry C. Watson,et al.  ENHANCING DRIVER MANAGEMENT IN QUEENSLAND , 1996 .

[22]  Lucy Popova,et al.  The Extended Parallel Process Model , 2012, Health education & behavior : the official publication of the Society for Public Health Education.

[23]  R Phillips,et al.  An overview of 45 anti-speeding campaigns , 2009 .

[24]  Michael S. LaTour,et al.  There are Threats and (Maybe) Fear-Caused Arousal: Theory and Confusions of Appeals to Fear and Fear Arousal Itself , 1997 .

[25]  T P Hutchinson,et al.  Road safety mass media campaigns: Why are results inconclusive, and what can be done? , 2011, International journal of injury control and safety promotion.

[26]  S. Kaye,et al.  Individual differences in drivers' cognitive processing of road safety messages. , 2013, Accident; analysis and prevention.

[27]  Tomer Toledo,et al.  A multidimensional intergenerational model of young males' driving styles. , 2016, Accident; analysis and prevention.

[28]  Ioni M. Lewis,et al.  Predicting future speeding behaviour: The appeal of positive emotional appeals for high risk road users , 2008 .

[29]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[30]  Mark J. King,et al.  “They’re lunatics on the road” : Exploring the normative influences of parents, friends, and police on young novices’ risky driving decisions , 2012 .

[31]  Richard Tay,et al.  Exploring the Effects of a Road Safety Advertising Campaign on the Perceptions and Intentions of the Target and Nontarget Audiences to Drink and Drive , 2002 .

[32]  Yao Xiao,et al.  Analysis of factors affecting drivers’ choice to engage with a mobile phone while driving in Beijing , 2016 .

[33]  Bay O’Leary,et al.  Social Marketing and Distracted Driving Behaviors among Young Adults: The Effectiveness of Fear Appeals , 2010 .

[34]  John A. Groeger,et al.  How Many E’s in Road Safety? , 2011 .

[35]  Ioni M. Lewis,et al.  The beliefs which influence young males to speed and strategies to slow them down : informing the content of anti-speeding messages , 2013 .

[36]  Md. Mazharul Haque,et al.  Effects of mobile phone distraction on drivers' reaction times , 2013 .

[37]  James Price Dillard,et al.  Does Perceived Message Effectiveness Cause Persuasion or Vice Versa? 17 Consistent Answers , 2007 .

[38]  Paul Atchley,et al.  The choice to text and drive in younger drivers: behavior may shape attitude. , 2011, Accident; analysis and prevention.

[39]  Ioni M. Lewis,et al.  Key beliefs influencing young drivers’ engagement with social interactive technology on their smartphones: A qualitative study , 2016, Traffic injury prevention.

[40]  R. Tay,et al.  Changing Drivers' Intentions and Behaviours Using Fear-Based Driver Fatigue Advertisements , 2002, Health marketing quarterly.

[41]  Patricia Delhomme,et al.  Manual for Designing, Implementing and Evaluating Road Safety Communication Campaigns , 2009 .

[42]  William P. Eveland,et al.  THE EFFECT OF SOCIAL DESIRABILITY ON PERCEIVED MEDIA IMPACT: IMPLICATIONS FOR THIRD-PERSON PERCEPTIONS , 1999 .

[43]  Louise P. Waddell,et al.  What’s driving illegal mobile phone use? Psychosocial influences on drivers’ intentions to use hand-held mobile phones , 2014 .

[44]  Niki Harré,et al.  The impact of different styles of traffic safety advertisement on young drivers' explicit and implicit self-enhancement biases , 2009 .

[45]  Carlo Giacomo Prato,et al.  Modeling the behavior of novice young drivers during the first year after licensure. , 2010, Accident; analysis and prevention.

[46]  Ioni M. Lewis,et al.  How males and females define speeding and how they'd feel getting caught for it: Some implications for anti-speeding message development , 2012 .

[47]  Rachel N. Carey,et al.  The Impact of Threat Appeals on Fear Arousal and Driver Behavior: A Meta-Analysis of Experimental Research 1990–2011 , 2013, PloS one.

[48]  Charles Goldenbeld,et al.  Effects of persuasive communication and group discussions on acceptability of anti-speeding policies for male and female drivers , 2008 .

[49]  Sherrie-Anne Kaye,et al.  Young drivers' responses to anti-speeding advertisements: Comparison of self-report and objective measures of persuasive processing and outcomes , 2016, Traffic injury prevention.

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

[51]  K. Witte Putting the fear back into fear appeals: The extended parallel process model , 1992 .

[52]  Michael D. Slater,et al.  Integrating Application of Media Effects, Persuasion, and Behavior Change Theories to Communication Campaigns: A Stages-of-Change Framework , 1999 .

[53]  Bridie Scott-Parker,et al.  Young novice drivers and the risky behaviours of parents and friends during the provisional (intermediate) licence phase: a brief report. , 2014, Accident; analysis and prevention.

[54]  Linda Ng Boyle,et al.  The influence of driver distraction on the severity of injuries sustained by teenage drivers and their passengers. , 2008, Accident; analysis and prevention.

[55]  Katherine M. White,et al.  Extending the Explanatory Utility of the EPPM Beyond Fear-Based Persuasion , 2013, Health communication.

[56]  K. White,et al.  Texting while driving: psychosocial influences on young people's texting intentions and behaviour. , 2010, Accident; analysis and prevention.

[57]  K. White,et al.  Predicting the acceptance and rejection of emotion-based anti-speeding messages: the role of attitudinal beliefs and personal involvement , 2008 .

[58]  Christina M. Rudin-Brown,et al.  Melbourne drivers' observed use of mobile phones: could there be unintended consequences of partial bans? , 2013 .

[59]  Richard Tay,et al.  Who are we scaring with high fear road safety advertising campaigns , 2002 .

[60]  Katherine M White,et al.  Concealing their communication: exploring psychosocial predictors of young drivers' intentions and engagement in concealed texting. , 2014, Accident; analysis and prevention.

[61]  R J Donovan,et al.  Executing effective road safety advertising: are big production budgets necessary? , 1999, Accident; analysis and prevention.

[62]  B Watson,et al.  Insights into targeting young male drivers with anti-speeding advertising: An application of the Step approach to Message Design and Testing (SatMDT). , 2017, Accident; analysis and prevention.

[63]  Douglas Eadie,et al.  Development and evaluation of a mass media Theory of Planned Behaviour intervention to reduce speeding. , 2004, Health education research.

[64]  A. Bandura Principles of behavior modification , 1969 .

[65]  Cary Stothart,et al.  The attentional cost of receiving a cell phone notification. , 2015, Journal of experimental psychology. Human perception and performance.

[66]  Barry Watson,et al.  The Step approach to Message Design and Testing (SatMDT): A conceptual framework to guide the development and evaluation of persuasive health messages. , 2016, Accident; analysis and prevention.

[67]  Nadine Henley,et al.  Negative Outcomes, Threats and Threat Appeals: Widening the Conceptual Framework for the Study of Fear and Other Emotions in Social Marketing Communications , 1997 .