Marketing Research Seminar Series

Ort: Wirtschaftsuniversität Wien , Administration AD.0.122 Sitzungssaal 2 am 30. November 2023 Startet um 13:00 Endet um 15:00
Art Vortrag/Diskussion
Vortragende/r Arnaud De Bruyn, ESSEC Business School (FR)
Veranstalter Wirtschaftsuniversität Wien Department of Marketing

Talk by Arnaud De Bruyn, ESSEC Business School (FR)

The „Research Seminar Series“ held by the WU's Marketing Department helps to connect our Faculty with international scholars from the Marketing field. They are invited to present their latest research and discuss the current trends and developments in all major areas of marketing. The seminar is open to all WU faculties and students.

Talk by Arnaud De Bruyn, ESSEC Business School (FR)

Title: “Bots Bargaining with Humans: Building AI Super-Bargainers with Algorithmic Anthropomorphization”

Abstract: Bargaining is increasingly being automated by firms using AI. However, little is known about the psychological impact this would have on consumers. Since most solutions discussed in the literature to mitigate algorithm aversion are inapplicable in coopetition contexts like bargaining games, we propose a novel approach, algorithmic anthropomorphization, as a potential solution. We train a bargaining AI within a Generative Adversarial Network (GAN) framework and task it with reaching superior economic outcomes while appearing “human” in doing so. We then experimentally compare it to two alternative bot specifications: a primitive bot that mimics human behavior and a purely economic-efficient bot. Our results suggest that (a) while superficial anthropomorphization helps portray a bot as a human, it does not improve subjective evaluations the slightest, and (b) algorithmic anthropomorphization offers the promise of a solution, albeit imperfect. However, even when bots behave in a way that is undistinguishable from humans, they still appear to fall prey to the “uncanny valley” phenomenon, thereby leading to lower subjective evaluations, irrespective of their economic performance. Knowing that subjective evaluations of negotiations predict the outcome of future negotiations, we discuss the potentially negative impact AI bargaining algorithms may have on long-term customer relationships.

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