Impact of an Interactive Anti-Speeding Threat Appeal: How Much Threat Is Too Much?

This study investigates the impact of an interactive television public-service announcement (PSA) containing an anti-speeding threat appeal on feelings of telepresence and behavioral intention. In a 2 × 2 × 2 between-subjects factorial design with 213 participants, the level of threat evoked by a traditional PSA, by the interactive part of the PSA (dedicated advertising location or DAL) and by the preceding program context are manipulated to be either low or high. The results support the assumptions of the Extended Parallel Processing Model with regard to the effect of the level of perceived threat and perceived efficacy in an interactive media environment, and the important role of telepresence as a processing variable. The results of the three-way interaction effect of threat evoked by the program, the PSA and the DAL on telepresence show that when the threat levels of the program and the PSA are both either low or high, exposure to the threatening information in the DAL does not generate a significantly higher feeling of telepresence. However, when a low-threat program is followed by a high-threat PSA, the threat level of the DAL has a positive effect on telepresence. The same trend is found with a high-threat program and a low-threat PSA, although the effect of the threat evoked by the DAL on telepresence is not significant at conventional levels. Finally, there is a positive effect of telepresence on the behavioral intention to reduce speeding, which is partly mediated by the viewer's perceived efficacy to follow the recommended behavior.

[1]  Roger Bennett,et al.  Effects of Horrific Fear Appeals on Public Attitudes Towards AIDS , 1996 .

[2]  Carlos M. Coelho,et al.  Media Presence and Inner Presence: The Sense of Presence in Virtual Reality Technologies , 2006 .

[3]  R. Rogers Cognitive and physiological processes in fear appeals and attitude change: a revised theory of prote , 1983 .

[4]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[5]  Clifford J. Shultz,et al.  FITZSIMONS PROGRAM INVOLVEMENT : ARE MODERATE LEVELS BEST FOR AD MEMORY AND ATTITUDE TOWARD THE AD ? , 2005 .

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

[7]  K. Witte Fear control and danger control: A test of the extended parallel process model (EPPM) , 1994 .

[8]  Patrick De Pelsmacker,et al.  Opportunities and Thresholds for Advertising on Interactive Digital TV , 2006 .

[9]  Sun I. Kim,et al.  Exploring the Use of Computer Games and Virtual Reality in Exposure Therapy for Fear of Driving Following a Motor Vehicle Accident , 2003, Cyberpsychology Behav. Soc. Netw..

[10]  R. Snipes,et al.  A Model of the Effects of Self-efficacy on the Perceived Ethicality and Performance of Fear Appeals in Advertising , 1999 .

[11]  Thomas W. Schubert Decomposing the sense of presence : Factor analytic insights , 1999 .

[12]  Cheryl Campanella Bracken,et al.  Presence and Image Quality: The Case of High-Definition Television , 2005 .

[13]  Keith S. Coulter The Effects of Affective Responses to Media Context on Advertising Evaluations , 1998 .

[14]  M. Lombard,et al.  Presence and Television: The Role of Screen Size. , 2000 .

[15]  M. Sobel Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .

[16]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[17]  Irving L. Janis,et al.  Effects of Fear Arousal on Attitude Change: Recent Developments in Theory and Experimental Research1 , 1967 .

[18]  D. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations , 1996 .

[19]  Kenneth R. Lord,et al.  Consumer Responses to Complex Advertisements: The Moderating Role of Need for Cognition, Knowledge, and Gender , 2004 .

[20]  J. Webster,et al.  The Dimensionality and Correlates of Flow in Human-Computer Interactions. , 1993 .

[21]  John R. Rossiter,et al.  Fear‐pattern analysis supports the fear‐drive model for antispeeding road‐safety TV ads , 2004 .

[22]  Cjh Cees Midden,et al.  Communications about environmental risks and risk-reducing behaviour : the impact of fear on information processing. , 2001 .

[23]  Jonathan Steuer,et al.  Defining virtual reality: dimensions determining telepresence , 1992 .

[24]  Jan-Benedict E. M. Steenkamp,et al.  Importance of fear in the case of genetically modified food , 2004 .

[25]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[26]  Holger Regenbrecht,et al.  The Experience of Presence: Factor Analytic Insights , 2001, Presence: Teleoperators & Virtual Environments.

[27]  J. Webster,et al.  Flow in Computer-Mediated Communication , 1992 .

[28]  Nathalie Dens,et al.  Fear, threat and efficacy in threat appeals: message involvement as a key mediator to message acceptance. , 2009, Accident; analysis and prevention.

[29]  E. Thorson,et al.  The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites , 2001 .

[30]  Jawaid A. Ghani,et al.  The Experience Of Flow In Computer-Mediated And In Face-To-Face Groups , 1991, ICIS.

[31]  R. W. Rogers,et al.  Effects of components of protection-motivation theory on adaptive and maladaptive coping with a health threat. , 1987, Journal of personality and social psychology.

[32]  P. Gustafson Gender Differences in Risk Perception: Theoretical and Methodological Perspectives , 1998, Risk analysis : an official publication of the Society for Risk Analysis.

[33]  M. Thompson,et al.  Fear Appeals and the Formation of Active Publics , 1995 .

[34]  J. Freeman,et al.  Development of a New Cross-Media Presence Questionnaire: The ITC-Sense of Presence Inventory , 2000 .

[35]  M. Csíkszentmihályi,et al.  Optimal experience in work and leisure. , 1989, Journal of personality and social psychology.

[36]  S. Blumberg Guarding against Threatening HIV Prevention Messages: An Information-Processing Model , 2000, Health education & behavior : the official publication of the Society for Public Health Education.

[37]  Michael J. Singer,et al.  Measuring Presence in Virtual Environments: A Presence Questionnaire , 1998, Presence.

[38]  R. F. Potter,et al.  The Impact of Program Context on Motivational System Activation and Subsequent Effects on Processing a Fear Appeal , 2006 .

[39]  James B. Hunt,et al.  The Protection Motivation Model: A Normative Model of Fear Appeals: , 1991 .

[40]  Konstantinos Chorianopoulos,et al.  An integrated approach to interactive and personalized TV advertising , 2001 .

[41]  Frank Biocca,et al.  Telepresence via Television: Two Dimensions of Telepresence May Have Different Connections to Memory and Persuasion , 2006, J. Comput. Mediat. Commun..

[42]  S. Bellman,et al.  Effectiveness of Telescopic Advertisements Delivered via Personal Video Recorders , 2006, Journal of Advertising Research.

[43]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.