Investigation of the Persuasiveness of Social Influence in Persuasive Technology and the Effect of Age and Gender

Research has shown that social influence is a strong motivator of behavior change. However, in persuasive technology research, limited studies exist showing the influence of age and gender on its effectiveness. To bridge this gap, we conducted a study among 323 participants on the level of susceptibility to four social influence strategies: Social Learning, Social Comparison, Competition and Reward. Our results reveal that 1) males and females vary in their level of susceptibility to Reward and Competition, with males being more susceptible than females; and 2) younger and older individuals vary also, with younger individuals being more susceptible to Competition, Social Comparison and Social Learning. Specifically, our results reveal that Competition, a powerful driver of intrinsic motivation, is most effective in bringing about behavior change in younger males, but least effective in older females. These findings provide designers with insight into effective ways of tailoring persuasive applications (using commonly applied gamification mechanics) based on age and gender.

[1]  L. Festinger.  A Theory of Social Comparison Processes , 1954 .

[2]  Stephen M. Garcia,et al.  The Psychology of Competition , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[3]  Katherine Frost,et al.  Exploring Body Comparison Tendencies , 2011 .

[4]  M. Mead.  Co-Operation and Competition among Primitive Peoples , 1937 .

[5]  Julita Vassileva,et al.  Gender and Persuasive Technology: Examining the Persuasiveness of Persuasive Strategies by Gender Groups , 2014 .

[6]  Christiane Schwieren,et al.  Age differences in the reaction to incentives – do older people avoid competition? , 2012 .

[7]  Harri Oinas-Kukkonen,et al.  Comparative Analysis of Recognition and Competition as Features of Social Influence Using Twitter , 2012, PERSUASIVE.

[8]  Marc Busch,et al.  Personalized Persuasive Technology - Development and Validation of Scales for Measuring Persuadability , 2013, PERSUASIVE.

[9]  Sangaralingam Kajanan,et al.  Persuasive Technology for Smartphone Fitness , 2013 .

[10]  Betsy Morgan,et al.  Gender Differences in the Relationship of Downward Social Comparison to Self-esteem , 2004 .

[11]  Thomas J. Dunn,et al.  From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. , 2014, British journal of psychology.

[12]  Muriel Niederle,et al.  Gender and Competition , 2011 .

[13]  Maurits Kaptein,et al.  Adaptive persuasive messages in an e-commerce setting: the use of persuasion profiles , 2011, ECIS.

[14]  S. Thompson.  Social Learning Theory , 2008 .

[15]  R. Orji,et al.  DESIGN FOR BEHAVIOUR CHANGE: A MODEL-DRIVEN APPROACH FOR TAILORING PERSUASIVE TECHNOLOGIES , 2014 .

[16]  Julita Vassileva,et al.  Gender, Age, and Responsiveness to Cialdini's Persuasion Strategies , 2015, PERSUASIVE.

[17]  Julita Vassileva,et al.  Tailoring persuasive health games to gamer type , 2013, CHI.

[18]  Juho Hamari,et al.  Do Persuasive Technologies Persuade? - A Review of Empirical Studies , 2014, PERSUASIVE.

[19]  Kamariah Abu Bakar,et al.  Construct Validity Examination of Critical Thinking Dispositions for Undergraduate Students in University Putra Malaysia , 2012 .

[20]  Elke E. Mattheiss,et al.  More than Sex: The Role of Femininity and Masculinity in the Design of Personalized Persuasive Games , 2016, PERSUASIVE.

[21]  Chrysanne Di Marco,et al.  Towards Personality-driven Persuasive Health Games and Gamified Systems , 2017, CHI.

[22]  Kiemute Oyibo,et al.  Investigation of Social Predictors of Competitive Behavior in Persuasive Technology , 2017, PERSUASIVE.

[23]  Kiemute Oyibo.  Designing Culture-based Persuasive Technology to Promote Physical Activity among University Students , 2016, UMAP.

[24]  Julita Vassileva,et al.  Modeling the efficacy of persuasive strategies for different gamer types in serious games for health , 2014, User Modeling and User-Adapted Interaction.

[25]  S. Rafaeli,et al.  Studying Gamification: The Effect of Rewards and Incentives on Motivation , 2015 .

[26]  L. Steinberg,et al.  Age differences in resistance to peer influence. , 2007, Developmental psychology.

[27]  B. J. Fogg.  Healthy Living with Persuasive Technologies : Framework , Issues , and Challenges , 2009 .

[28]  Agnis Stibe,et al.  Socially influencing systems : persuading people to engage with publicly displayed Twitter-based systems , 2014 .

[29]  R. Cialdini,et al.  Social influence: Social norms, conformity and compliance. , 1998 .

[30]  Dean Tjosvold,et al.  Theory of cooperation and competition in China : accomplishments and challenges , 2012 .

[31]  Chen-Ying Huang,et al.  Gender differences in punishment and reward sensitivity in a sample of Taiwanese college students , 2007 .

[32]  Harri Oinas-Kukkonen,et al.  Persuasive Systems Design: Key Issues, Process Model, and System Features , 2009, Commun. Assoc. Inf. Syst..

[33]  Boris E. R. de Ruyter,et al.  Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking , 2012, TIIS.