Paper Number
1122
Abstract
The ubiquity of information technology makes it possible to provide individuals with personalized, context-specific, and timely feedback at low marginal cost. This allows for highly scalable behavioral interventions that can support behavior change even for frequent, habitual, and incidental behaviors. Despite the well-documented potential of feedback interventions in improving personal and societal outcomes, the associated theoretical insights – in particular for real-time feedback on everyday behaviors – are sparse. To this end, this research-in-progress paper proposes a conceptual model to formalize cause-effect relationships between feedback interventions, the antecedents of behavior, and resulting behavioral changes by integrating important concepts from feedback intervention theory and other behavioral theories. Moreover, this paper outlines the planned validation of the model and research hypotheses with an empirical field study. Ultimately, the results are expected to inform the development of (future) Information Systems for behavior change by holistically explaining behavioral mechanisms associated with feedback interventions.
Recommended Citation
Stingl, Carlo; Günther, Sebastian A.; and Staake, Thorsten, "The Behavioral Mechanisms Behind Feedback – A Preliminary Model for Quantifying Cause-Effect Relationships" (2022). ECIS 2022 Research-in-Progress Papers. 7.
https://aisel.aisnet.org/ecis2022_rip/7
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