Susceptibility to Persuasive Strategies: A Comparative Analysis of Nigerians vs. Canadians

Personalizing persuasive technologies (PTs) is one of the hallmarks of a successful PT intervention. However, there is a lack of understanding of how Africans and North Americans differ or are similar in the susceptibility to persuasive strategies. To bridge this gap, we conducted a cross-cultural study among 284 subjects to investigate the moderating effect of culture on the susceptibility of users to Cialdini's principles of persuasion. Specifically, using Nigeria and Canada as a case study, we investigated how both groups vary in their levels of susceptibility to Authority, Commitment, Consensus, Liking, Reciprocity and Scarcity. The results of our analysis show that Nigerians are more susceptible to Authority and Scarcity than Canadians, while Canadians are more susceptible to Reciprocity, Liking and Consensus than Nigerians. However, both groups do not differ with respect to Commitment (the most persuasive strategy). Finally, we discussed our findings and mapped the most persuasive Cialdini's principles in each group to implementable persuasive strategies in the PT domain.

[1]  James A. Landay,et al.  Design requirements for technologies that encourage physical activity , 2006, CHI.

[2]  G. Hofstede,et al.  Cultures and Organizations: Software of the Mind , 1991 .

[3]  Ah-Hwee Tan,et al.  MAP: A Computational Model for Adaptive Persuasion , 2015, AAMAS.

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

[5]  Kiemute Oyibo,et al.  Responsiveness to Persuasive Strategies at the Workplace: A Case Study , 2017, MCETECH.

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

[7]  Rita Orji,et al.  Persuasion and Culture: Individualism-Collectivism and Susceptibility to Influence Strategies , 2016, PPT@PERSUASIVE.

[8]  Kiemute Oyibo,et al.  An Empirical Analysis of the Perception of Mobile Website Interfaces and the Influence of Culture , 2016, PPT@PERSUASIVE.

[9]  J. McVeigh,et al.  Physical activity and sedentary behavior in an ethnically diverse group of South african school children. , 2014, Journal of sports science & medicine.

[10]  Rita Orji,et al.  Persuasive technology for health and wellness: State-of-the-art and emerging trends , 2018, Health Informatics J..

[11]  Kiemute Oyibo,et al.  Investigation of the Persuasiveness of Social Influence in Persuasive Technology and the Effect of Age and Gender , 2017, PPT@PERSUASIVE.

[12]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[13]  R. Cialdini Influence: The Psychology of Persuasion , 1993 .

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

[15]  Sean A. Munson,et al.  Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[16]  Kiemute Oyibo,et al.  Investigation of the Influence of Personality Traits on Cialdini's Persuasive Strategies , 2017, PPT@PERSUASIVE.

[17]  R. Cialdini Influence: Science and Practice , 1984 .

[18]  Kiemute Oyibo,et al.  The Influence of Cognitive Ability on the Susceptibility to Persuasive Strategies , 2018, PPT@PERSUASIVE.

[19]  James Noble,et al.  Our Place or Mine? Exploration into Collectivism-Focused Persuasive Technology Design , 2006, PERSUASIVE.

[20]  David W. McDonald,et al.  Goal-setting considerations for persuasive technologies that encourage physical activity , 2009, Persuasive '09.

[21]  Kiemute Oyibo,et al.  The Susceptibility of Africans to Persuasive Strategies: A Case Study of Nigeria , 2018, PPT@PERSUASIVE.

[22]  G. Hofstede Dimensionalizing cultures: The Hofstede model in context , 2011 .

[23]  E. A. Locke,et al.  Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.

[24]  Kiemute Oyibo,et al.  Investigation of the Social Predictors of Competitive Behavior and the Moderating Effect of Culture , 2017, UMAP.

[25]  Tugba Taskaya Temizel,et al.  The impact of individual differences on influence strategies , 2015 .

[26]  Kiemute Oyibo,et al.  The Influence of Culture in the Effect of Age and Gender on Social Influence in Persuasive Technology , 2017, UMAP.

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

[28]  S. Delany-Moretlwe,et al.  Alcohol use and sexual risk behaviour among men and women in inner-city Johannesburg, South Africa , 2017, BMC Public Health.