Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Spss Explained
A Systematic Framework for Designing and Evaluating Persuasive Systems
PERSUASIVE '08 Proceedings of the 3rd international conference on Persuasive Technology
The Influence of Gender and Involvement Level on the Perceived Credibility of Web Sites
PERSUASIVE '08 Proceedings of the 3rd international conference on Persuasive Technology
Acceptance issues of personality-based recommender systems
Proceedings of the third ACM conference on Recommender systems
Individual differences in persuadability in the health promotion domain
PERSUASIVE'10 Proceedings of the 5th international conference on Persuasive Technology
Personality and persuasive technology: an exploratory study on health-promoting mobile applications
PERSUASIVE'10 Proceedings of the 5th international conference on Persuasive Technology
Exploring perceived persuasiveness of a behavior change support system: a structural model
PERSUASIVE'12 Proceedings of the 7th international conference on Persuasive Technology: design for health and safety
PERSUASIVE'12 Proceedings of the 7th international conference on Persuasive Technology: design for health and safety
Developing culturally relevant design guidelines for encouraging healthy eating behavior
International Journal of Human-Computer Studies
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The onset of many health conditions, such as obesity and type 2 diabetes, can be prevented or at least delayed by adequate changes in diet. Various determinants of healthy eating --- such as Weight Concern, Nutrition Knowledge, Concern for Disease, Social Influence, and Food Choice Motive --- have been manipulated by persuasive technologies to motivate healthy eating behavior. However, the relative importance and the dynamic of interaction between the determinants of healthy behavior for males and females are still unknown. Understanding how the determinants vary across user groups is important, as it will help persuasive technology designers personalize their interventions to the target demographics, thereby increasing the effectiveness of the intervention. To investigate for possible variations in healthy eating determinants, we developed separate models of healthy eating determinants for males and females. The models, which are based on a quantitative study of 228 (124 males and 104 females) participants, reveal some similarities and differences in the interactions between the determinants of healthy eating behavior. Based on the result from our models, we highlight some gender-inclusive and gender-specific approaches to persuasive intervention design.