Learning to Stop Smoking: Understanding Persuasive Applications’ Long-Term Behavior Change Effectiveness Through User Achievement Motivation

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Abstract

Compromising smoking cessation applications’ effectiveness, many users relapse. We propose that long-term adoption of persuasive technology is (partly) dependent on users’ motivational orientation. Therefore, we studied the potential relationship between user’s achievement motivation and the long-term behavior change effectiveness of persuasive technology. One-hundred users of a smoking cessation app filled out a questionnaire assessing their motivational orientation and (long-term) behavior change rates. Based on research findings, we expected that participants with stronger learning goal orientation (who are focused on self-improvement and persistent when facing failure) would report a higher long-term behavior change success rate. In contrast, we expected that participants with a stronger performance goal orientation (focused on winning, for whom solitary failures can undermine intrinsic motivation) would report lower long-term success. Results confirmed our hypotheses. This research broadens our understanding of how persuasive applications’ effectiveness relates to user achievement motivation.

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Ham, J., & Langrial, S. U. (2020). Learning to Stop Smoking: Understanding Persuasive Applications’ Long-Term Behavior Change Effectiveness Through User Achievement Motivation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12064 LNCS, pp. 139–149). Springer. https://doi.org/10.1007/978-3-030-45712-9_11

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