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Groundwork for understanding persuasion in human behaviour change through the human-computer environment has been laid by the socio-psychological paradigm and theories, and an acknowledged key element in behaviour change is the role of attitude in the intention-behaviour gap. The said gap is explored in the present paper by means of a systematic literature review of how theories of self-schema and transformative learning have been used thus far in researching behaviour change support systems. Tailoring content and persuasive strategies to some end-user traits is an acknowledged avenue in the persuasive technology field, but what identifiable traits beyond needs, interests, personality, or context can be identified and used in the pursuit of systems that are increasingly more relevant to their users? Various databases were searched for peer-reviewed articles, and the research contributions were analysed against the Persuasive Systems Design Model and Outcome/Change Design Matrix. The results show that neither theory has been used extensively for researching behaviour change support systems; yet, a closer look at the records offers feasible approaches for addressing the intention-behaviour gap. Both SST and TLT emerge as worth investigating as regards identifying and influencing attitude and self-perception level factors in persuasion.

cyberpsychology

Tailoring persuasive technology: A systematic review of literature of self-schema theory and transformative learning theory in persuasive technology context