Switching to Green Lifestyles: Behavior Change of Ant Forest Users

Ant Forest is an emerging mobile application platform that engages people in environment-friendly behavior with fragmented time and helps them cultivate ecological awareness and habit. Users grow virtual trees on the platform with the energy saved from daily low-carbon activities, and Ant Forest plants real saplings in desertified areas when the “trees” become big enough. Facilitating the public’s participation in such green welfare, Ant Forest is a new-generation persuasive system with functions like social media and gamification. In addition to perceived persuasiveness in the existing literature, this study includes sense of achievement and perceived entertainment as extrinsic and intrinsic motivations, respectively, to explain people’s continuous use of such a system and consequent behavior change. The results of a survey suggest that primary task support, perceived credibility, and perceived social support associated with Ant Forest positively affect the user’s continuance intention through the mediation of perceived persuasiveness, sense of achievement, and perceiving entertaining. Furthermore, perceived persuasiveness and continuance intention lead to ultimate behavior change. The findings suggest the importance of both persuasive and motivational considerations in the implementation of new-generation persuasive systems to make them effective in the long run.

[1]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[2]  Paul H. J. Hendriks,et al.  Why share knowledge? The influence of ICT on the motivation for knowledge sharing , 1999 .

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

[4]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[5]  Hsi-Peng Lu,et al.  Factors affecting purchase intention on mobile shopping web sites , 2009, Internet Res..

[6]  Stephen R. Gulliver,et al.  Persuasive Technology and Users Acceptance of E-commerce: Users Perceptions of Website Persuasiveness , 2014, J. Electron. Commer. Organ..

[7]  W. Crano,et al.  Attitudes and persuasion. , 2006, Annual review of psychology.

[8]  Harri Oinas-Kukkonen,et al.  Exploring Green Information Systems and Technologies as Persuasive Systems: A Systematic Review of Applications in Published Research , 2016, ICIS.

[9]  A. Mamun,et al.  Environmental Knowledge, Awareness, and Business School Students’ Intentions to Purchase Green Vehicles in Emerging Countries , 2018 .

[10]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[11]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[12]  S. Kelders,et al.  Persuasive System Design Does Matter: A Systematic Review of Adherence to Web-Based Interventions , 2012, Journal of medical Internet research.

[13]  Hailin Qu,et al.  Travelers’ social identification and membership behaviors in online travel community , 2011 .

[14]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[15]  Zarinah Mohd Kasirun,et al.  Gamification towards sustainable mobile application , 2011, 2011 Malaysian Conference in Software Engineering.

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

[17]  Harri Oinas-Kukkonen,et al.  Factors Affecting Perceived Persuasiveness of a Behavior Change Support System , 2012, ICIS.

[18]  E. Deci,et al.  A motivational approach to self: integration in personality. , 1990, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[19]  Viswanath Venkatesh,et al.  Household Technology Use: Integrating Household Life Cycle and the Model of Adoption of Technology in Households , 2006, Inf. Soc..

[20]  Lutz Maria Kolbe,et al.  An Acceptance Model for User-Centric Persuasive Environmental Sustainable IS , 2016, ICIS.

[22]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[23]  Harri Oinas-Kukkonen,et al.  Exploring Perceived Persuasiveness of a Behavior Change Support System: A Structural Model , 2012, PERSUASIVE.

[24]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[25]  I. Ajzen The theory of planned behavior , 1991 .

[26]  Jacqueline Corbett,et al.  Assessing the Influence of Persuasive Systems for Sustainability across Work-Home-Community Boundaries , 2017, ECIS.

[27]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[28]  P. Pirolli,et al.  Implementation Intention and Reminder Effects on Behavior Change in a Mobile Health System: A Predictive Cognitive Model , 2017, Journal of medical Internet research.

[29]  Harri Oinas-Kukkonen,et al.  Towards Deeper Understanding of Persuasion in Software and Information Systems , 2008, First International Conference on Advances in Computer-Human Interaction.

[30]  Harri Oinas-Kukkonen,et al.  A foundation for the study of behavior change support systems , 2012, Personal and Ubiquitous Computing.

[31]  A. Fuligni The academic achievement of adolescents from immigrant families: the roles of family background, attitudes, and behavior. , 1997, Child development.

[32]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[33]  Yvonne Kiera Bartlett,et al.  Using Persuasive Technology to Increase Physical Activity in People With Chronic Obstructive Pulmonary Disease by Encouraging Regular Walking: A Mixed-Methods Study Exploring Opinions and Preferences , 2017, Journal of medical Internet research.

[34]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[35]  B. J. Fogg,et al.  A behavior model for persuasive design , 2009, Persuasive '09.

[36]  P. K. Murphy,et al.  Examining the Complex Roles of Motivation and Text Medium in the Persuasion Process , 2005 .

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

[38]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

[39]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[40]  Andrea Everard,et al.  How Presentation Flaws Affect Perceived Site Quality, Trust, and Intention to Purchase from an Online Store , 2005, J. Manag. Inf. Syst..

[41]  A. Fuligni,et al.  In‐School Versus Out‐of‐School Friendships and Academic Achievement Among an Ethnically Diverse Sample of Adolescents , 2010 .

[42]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[43]  F. Herzberg One More Time: How Do You Motivate Employees? , 2008 .

[44]  Linda Steg,et al.  Goal-framing theory and norm-guided environmental behavior , 2013 .

[45]  Harri Oinas-Kukkonen,et al.  Explaining and predicting perceived effectiveness and use continuance intention of a behaviour change support system for weight loss , 2015, Behav. Inf. Technol..

[46]  M. Lindell,et al.  Accounting for common method variance in cross-sectional research designs. , 2001, The Journal of applied psychology.