Effects of Color Appeal, Perceived Risk and Culture on User's Decision in Presence of Warning Banner Message

Color is present in every aspect of human life, and color is driving our decisions. In the digital computer warning realm, in which a warning message is a communication mechanism, color represents an important design element, which aims at preventing the hazard and reducing negative outcomes from the user’s action. Interestingly, we are lacking the understanding of how color appeal influences behavioral intentions in culturally distinct countries when it comes to paying more attention to warning messages. We conducted a cross-cultural investigation by running an online experiment, followed by a survey of 258 participants from the United States and India. Supported by the color-in-context theory, we found that culture is an important dimension in the specific warning message context in which color appeal is a salient antecedent to behavioral intentions in culturally distinct countries. We derive several theoretical contributions and practitioners’ insights.

[1]  Michael S. Wogalter,et al.  Handbook of Warnings , 2006 .

[2]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[3]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychology Review.

[4]  Anthony F. Norcio,et al.  Cultural differences on attention and perceived usability: Investigating color combinations of animated graphics , 2006, Int. J. Hum. Comput. Stud..

[5]  J. Förster,et al.  Enactment of approach and avoidance behavior influences the scope of perceptual and conceptual attention , 2006 .

[6]  P. Wesley Schultz,et al.  CRIMINAL BEWARE: A SOCIAL NORMS PERSPECTIVE ON POSTING PUBLIC WARNING SIGNS* , 2009 .

[7]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[8]  Noah J. Goldstein,et al.  A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels , 2008 .

[9]  Dianne Cyr,et al.  Colour Arousal Effect on Users' Decision-Making Processes in the Warning Message Context , 2016, HCI.

[10]  Albert L. Lederer,et al.  A Meta-Analysis of the Role of Environment-Based Voluntariness in Information Technology Acceptance , 2009, MIS Q..

[11]  D. Kliger,et al.  Red light, green light: Color priming in financial decisions , 2012 .

[12]  Atreyi Kankanhalli,et al.  Studying users' computer security behavior: A health belief perspective , 2009, Decis. Support Syst..

[13]  Mario Silic,et al.  Understanding Colour Impact on Warning Messages: Evidence from US and India , 2016, CHI Extended Abstracts.

[14]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[15]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[16]  Ross Anderson,et al.  Reading this May Harm Your Computer: The Psychology of Malware Warnings , 2014 .

[17]  R. Paternoster,et al.  Sanction threats and appeals to morality : Testing a rational choice model of corporate crime , 1996 .

[18]  J. Cacioppo,et al.  Beyond Bipolar Conceptualizations and Measures: The Case of Attitudes and Evaluative Space , 1997, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[19]  P. Kay,et al.  Basic Color Terms: Their Universality and Evolution , 1973 .

[20]  D. Derryberry,et al.  Anxiety and attentional focusing: trait, state and hemispheric influences , 1998 .

[21]  Detmar W. Straub,et al.  Moving toward black hat research in information systems security: an editorial introduction to the special issue , 2010 .

[22]  Bonnie Brinton Anderson,et al.  Users Aren't (Necessarily) Lazy: Using NeuroIS to Explain Habituation to Security Warnings , 2014, ICIS.

[23]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[24]  Tonya L Smith-Jackson,et al.  Research-based guidelines for warning design and evaluation. , 2002, Applied ergonomics.

[25]  Markus A. Maier,et al.  Mediation of the Negative Effect of Red on Intellectual Performance , 2008, Personality & social psychology bulletin.

[26]  Lorrie Faith Cranor,et al.  Bridging the Gap in Computer Security Warnings: A Mental Model Approach , 2011, IEEE Security & Privacy.

[27]  A. Elliot,et al.  Approach and Avoidance Motivation , 2001 .

[28]  Markus A. Maier,et al.  Chapter two - Color-in-Context Theory , 2012 .

[29]  P. Lang.  The emotion probe. Studies of motivation and attention. , 1995, The American psychologist.

[30]  D. F. Blankertz,et al.  Risk taking and information handling in consumer behavior , 1969 .

[31]  Markus A. Maier,et al.  Color psychology: effects of perceiving color on psychological functioning in humans. , 2014, Annual review of psychology.

[32]  Carsten K. W. De Dreu,et al.  In competitive interaction displays of red increase actors' competitive approach and perceivers' withdrawal , 2012 .

[33]  Markus Appel,et al.  Red Color and Risk-Taking Behavior in Online Environments , 2015, PloS one.

[34]  P. Kay,et al.  Biocultural Implications of Systems of Color Naming , 1991 .

[35]  Joseph H. Goldberg,et al.  Eye tracking in web search tasks: design implications , 2002, ETRA.

[36]  Xiaorui Hu,et al.  Cultural Adaptation on the Web: A Study of American Companies' Domestic and Chinese Websites , 2003, J. Glob. Inf. Manag..

[37]  Dianne Cyr,et al.  Localization of Web design: An empirical comparison of German, Japanese, and United States Web site characteristics , 2004, J. Assoc. Inf. Sci. Technol..

[38]  Charles D. Barrett.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[39]  Mario Silic,et al.  THE EFFECTS OF COLOUR ON USERS’ COMPLIANCE WITH WARNING BANNER MESSAGES ACROSS CULTURES , 2016 .

[40]  Nicolas Guéguen,et al.  Does Red Lipstick Really Attract Men? An Evaluation in a Bar , 2012 .

[41]  Dianne Cyr,et al.  Colour appeal in website design within and across cultures: A multi-method evaluation , 2010, Int. J. Hum. Comput. Stud..

[42]  Robert G. Magee,et al.  Red-Hot and Ice-Cold Web Ads: The Influence of Web Ads’ Warm and Cool Colors on Click-Through Rates , 2014 .

[43]  Bo Xu,et al.  Determinants of escrow service adoption in consumer-to-consumer online auction market: An experimental study , 2006, Decis. Support Syst..

[44]  Chao Zhang,et al.  Does red undermine individuals' intellectual performance? A test in China. , 2015, International journal of psychology : Journal international de psychologie.

[45]  Heiko Gewald,et al.  Risks and benefits of business process outsourcing: A study of transaction services in the German banking industry , 2009, Inf. Manag..

[46]  Qing Hu,et al.  Future directions for behavioral information security research , 2013, Comput. Secur..

[47]  S. Chaiken,et al.  Personality and Social Psychology Bulle- Tin Chen, Bargh / Consequences of Automatic Evaluation Immediate Behavioral Predispositions to Approach or Avoid the Stimulus , 2022 .

[48]  Albert N. Badre,et al.  Culturability: the merging of culture and usability , 1998 .

[49]  Zena O'Connor.  Colour harmony revisited , 2010 .

[50]  Sunny Consolvo,et al.  Improving SSL Warnings: Comprehension and Adherence , 2015, CHI.

[51]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[52]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[53]  Mario Silic,et al.  Restrictive Deterrence: Impact of Warning Banner Messages on Repeated Low-trust Software Use , 2016, ICEIS.

[54]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[55]  J. Bettman.  Perceived Risk and Its Components: A Model and Empirical Test , 1973 .

[56]  Stephen Coleman,et al.  The Minnesota Income Tax Compliance Experiment: Replication of the Social Norms Experiment , 2007 .

[57]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[58]  Roger Feltman,et al.  The influence of red on perceptions of relative dominance and threat in a competitive context. , 2011, Journal of sport & exercise psychology.

[59]  Ritu Agarwal,et al.  Practicing Safe Computing: A Multimedia Empirical Examination of Home Computer User Security Behavioral Intentions , 2010, MIS Q..

[60]  Dustin Ormond,et al.  Warning! A Comprehensive Model of the Effects of Digital Information Security Warning Messages , 2015 .

[61]  Richard P. Bagozzi,et al.  On the Use of Structural Equation Models in Experimental Designs , 1989 .

[62]  Patricia Russo,et al.  How fluent is your interface?: designing for international users , 1993, INTERCHI.

[63]  Marie‐Christine Lichtlé,et al.  The effect of an advertisement’s colour on emotions evoked by attitude towards the ad , 2007 .

[64]  Izak Benbasat,et al.  Information Security Policy Compliance: An Empirical Study of Rationality-Based Beliefs and Information Security Awareness , 2010, MIS Q..

[65]  Merrill Warkentin,et al.  Fear Appeals and Information Security Behaviors: An Empirical Study , 2010, MIS Q..

[66]  Nicolas Guéguen,et al.  Clothing Color and Tipping , 2014 .

[67]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..