Optimal Algorithm Explanations For Consumer Empowerment and Firm Benefit
Algorithms’ lack of transparency is often blamed for algorithm aversion in consumers. Two experiments demonstrate that algorithmic explanations can improve behavioral intentions, in addition to perceptions of transparency and empowerment. In particular, participants responded favorably to explanations that highlight concrete and feasible steps for consumers to change their future outcomes.
Citation:
Mehdi Mourali, Dallas Novakowski, Ruth Pogacar, and Neil Brigden (2021) ,"Optimal Algorithm Explanations For Consumer Empowerment and Firm Benefit", in NA - Advances in Consumer Research Volume 49, eds. Tonya Williams Bradford, Anat Keinan, and Matthew Matthew Thomson, Duluth, MN : Association for Consumer Research, Pages: 928-928.
Authors
Mehdi Mourali, University of Calgary
Dallas Novakowski, University of Calgary
Ruth Pogacar, University of Calgary
Neil Brigden, Bow Valley College
Volume
NA - Advances in Consumer Research Volume 49 | 2021
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