How Consumers Respond to Artificial Intelligence Recommendations: Experiential Vs. Material Framing
We propose that framing AI recommendations as experiences (vs. materially) alleviates algorithm aversion. Across experiments using AI platforms, we find that AI recommendations diminish evaluations for materially framed offerings, but enhance evaluations for experientially framed offerings because experiential framing counteracts algorithm aversion by enhancing the self-relevance of an AI recommendation.
Citation:
Nadia Danienta and Aric Rindfleisch (2020) ,"How Consumers Respond to Artificial Intelligence Recommendations: Experiential Vs. Material Framing", in NA - Advances in Consumer Research Volume 48, eds. Jennifer Argo, Tina M. Lowrey, and Hope Jensen Schau, Duluth, MN : Association for Consumer Research, Pages: 296-296.
Authors
Nadia Danienta, University of Illinois at Urbana-Champaign, USA
Aric Rindfleisch, University of Illinois at Urbana-Champaign, USA
Volume
NA - Advances in Consumer Research Volume 48 | 2020
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