Adolescents' attitudes and intentions to use a smartphone app to promote safe driving

Ajzen, 1991, The theory of planned behavior, Organ. Behav. Hum. Decis. Process., 50, 179, 10.1016/0749-5978(91)90020-T Ajzen, 1980 Albert, 2013, Peer influences on adolescent decision making, Curr. Dir. Psychol. Sci., 22, 114, 10.1177/0963721412471347 Armitage, 2001, Efficacy of the theory of planned behaviour: a meta-analytic review, British Jounral of Social Psychology, 40, 471, 10.1348/014466601164939 Brovold, 2007, The use of technology to address patterns of risk among teenage drivers, J. Saf. Res., 38, 413, 10.1016/j.jsr.2007.01.011 Centers for Disease Control and Prevention - National Center for Injury Prevention and Control Chein, 2011, Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry, Dev. Sci., 14, F1, 10.1111/j.1467-7687.2010.01035.x Conner, 2017, Applying the reasoned action approach to understanding health protection and health risk behaviors, Soc. Sci. Med., 195, 140, 10.1016/j.socscimed.2017.10.022 Costa, 2001, Gender differences in personality traits across cultures: robust and surprising findings, J. Pers. Soc. Psychol., 81, 322, 10.1037/0022-3514.81.2.322 Creaser, 2015, Are cellular phone blocking applications effective for novice teen drivers?, Journal of Safety Research, 54, 10.1016/j.jsr.2015.06.014 Curry, 2015, Effectiveness of parent-focused interventions to increase teen driver safety: a critical review, J. Adolesc. Health, 57, S6, 10.1016/j.jadohealth.2015.01.003 Delgado, 2018, Attitudes on technological, social, and behavioral economic strategies to reduce cellphone use among teens while driving, Traffic Injury Prevention, 1 Fazeen, 2012, Safe driving using mobile phones, IEEE Trans. Intell. Transp. Syst., 13, 1462, 10.1109/TITS.2012.2187640 Fishbein, 1975 Gauld, 2014, Concealing their communication: exploring psychosocial predictors of young drivers' intentions and engagement in concealed texting, Accid. Anal. Prev., 62, 285, 10.1016/j.aap.2013.10.016 Gliem, 2003, Calculating, interpreting, and reporting Cronbach's alpha reliability coefficient for likert-type scales IBM Corp, 2016 Kervick, 2015, Testing a structural model of young driver willingness to uptake smartphone driver support systems, Accid. Anal. Prev., 83, 171, 10.1016/j.aap.2015.07.023 Lee, 2007, Technology and teen drivers, J. Saf. Res., 38, 203, 10.1016/j.jsr.2007.02.008 Mayhew, 2003, Changes in collision rates among novice drivers during the first months of driving, Accid. Anal. Prev., 35, 683, 10.1016/S0001-4575(02)00047-7 Meyers, 2013 Mirman, 2014, Effect of the teen driving plan on the driving performance of teenagers before licensure: a randomized clinical trial, JAMA Pediatr., 168, 764, 10.1001/jamapediatrics.2014.252 Mirman, 2018, Can adolescent drivers' motor vehicle crash risk be reduced by pre-licensure intervention?, J. Adolesc. Health, 62, 341, 10.1016/j.jadohealth.2017.09.015 Montaño, 2008, Theory of reasoned action, theory of planned behavior, and the integrated behavioral model, 67 Morrongiello, 2004, Mothers' reactions to children misbehaving in ways that can lead to injury: implications for gender differences in children's risk taking and injuries, Sex Roles, 50, 103, 10.1023/B:SERS.0000011076.43831.a6 Musicant, 2016, Can novice drivers be motivated to use a smartphone based app that monitors their behavior?, Transport. Res. F: Traffic Psychol. Behav., 42, 544, 10.1016/j.trf.2015.10.023 Muthén, 1998 Nemme, 2010, Texting while driving: psychosocial influences on young people's texting intentions and behaviour, Accid. Anal. Prev., 42, 1257, 10.1016/j.aap.2010.01.019 Pope, 2018, Adolescents' perspectives on distracted driving legislation, J. Saf. Res. Rhodes, 2011, Age and gender differences in risky driving: the roles of positive affect and risk perception, Accid. Anal. Prev., 43, 923, 10.1016/j.aap.2010.11.015 Schwebel, 2005, Contributions of multiple risk factors to child injury, J. Pediatr. Psychol., 30, 553, 10.1093/jpepsy/jsi042 Sezgin, 2019, Technology-based interventions, assessments, and solutions for safe driving training for adolescents: rapid review, JMIR mHealth and uHealth, 7, e11942, 10.2196/11942 Shevlin, 2019, Past behavior and the decision to text while driving among young adults, Transport. Res. F: Traffic Psychol. Behav., 60, 58, 10.1016/j.trf.2018.09.027 Simons-Morton, 2016, Learning to drive safely: reasonable expectations and future directions for the learner period, Safety (Basel, Switzerland), 2, 20 Simons-Morton, 2014, Experimental effects of injunctive norms on simulated risky driving among teenage males, Health Psychol., 33, 616, 10.1037/a0034837 Son, 2015, The effect of age, gender and roadway environment on the acceptance and effectiveness of advanced driver assistance systems, Transport. Res. F: Traffic Psychol. Behav., 31, 12, 10.1016/j.trf.2015.03.009 van de Bongardt, 2015, A meta-analysis of the relations between three types of peer norms and adolescent sexual behavior, Personal. Soc. Psychol. Rev., 19, 203, 10.1177/1088868314544223 Wang, 2012 Warren, 2018, Behavior change for youth drivers: design and development of a smartphone-based app (Backpocketdriver), JMIR Formative Research, 2, 10.2196/formative.9660 Wolf, 2013, Sample size requirements for structural equation models: an evaluation of power, bias, and solution propriety, Educ. Psychol. Meas., 76, 913, 10.1177/0013164413495237