Unveiling the Mind of the Machine

Bibliographic Data

ID2237192
AuthorsMelanie Clegg (0000-0003-0767-5046, Vienna University of Economics and Business, corresponding author), Reto Hofstetter (0000-0003-1831-9282, University of Lucerne), Emanuel De Bellis (0000-0003-1360-2070, University of St.Gallen), Bernd H Schmitt (0000-0002-5129-0912)
EditorsRichard J Lutz, Roland T Rust (0000-0003-2433-7719)
Year2024
Volume51
Issue2
Pages342-361
Publication date2024-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Consumer Research (JOURNAL)
Journal identifiersISSN: 0093-5301 • E-ISSN: 1537-5277
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/jcr/ucad075
OpenAlexW4388989951
LanguageEN
Citations received10
References cited73

Previous research has shown that consumers respond differently to decisions made by humans versus algorithms. Many tasks, however, are not performed by humans anymore but entirely by algorithms. In fact, consumers increasingly encounter algorithm-controlled products, such as robotic vacuum cleaners or smart refrigerators, which are steered by different types of algorithms. Building on insights from computer science and consumer research on algorithm perception, this research investigates how consumers respond to different types of algorithms within these products. This research compares high-adaptivity algorithms, which can learn and adapt, versus low-adaptivity algorithms, which are entirely pre-programmed, and explore their impact on consumers' product preferences. Six empirical studies show that, in general, consumers prefer products with high-adaptivity algorithms. However, this preference depends on the desired level of product outcome range-the number of solutions a product is expected to provide within a task or across tasks. The findings also demonstrate that perceived algorithm creativity and predictability drive the observed effects. This research highlights the distinctive role of algorithm types in the perception of consumer goods and reveals the consequences of unveiling the mind of the machine to consumers

Creativity · Empirical research · Machine learning · Outcome (game theory) · Perception · Predictability · Preference · Product (mathematics) · Range (aeronautics) · Task (project management) · AI in Service Interactions · Artificial Intelligence · Computer Science · Engineering · Ethics and Social Impacts of AI · Innovative Human-Technology Interaction · Mathematics · Psychology · Social Psychology

Tools

Open DOIOpen Access