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Order Online or Call it in? Conceptualization and Measurement of Preferences for Computer versus Human Interaction

Bibliographic Data

ID13651969
AuthorsJustin Travis (0000-0001-5764-3216, University of South Carolina Upstate, corresponding author), Samuel J Wilgus (Salesforce (United States)), Samuel Wilgus (Salesforce)
Year2022
Volume126
Issue6
Pages3028-3051
Publication date2022-04-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychological Reports (JOURNAL)
Journal identifiersISSN: 0033-2941 • E-ISSN: 1558-691X
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/00332941221097952
PMID35476030
OpenAlexW4224979898
LanguageEN
References cited53

Technology is increasingly integrated into everyday life and consequently, traditional social exchanges between human agents have evolved to include human-computer interaction, providing scientists new directions for understanding and predicting consumer behavior. Despite progress, there are conceptual and empirical limitations in current measures applied to consumer/user preferences. This paper documents the development and validation of the 10-item preference for computer versus human interaction (PCHI) scale across three distinct samples and incorporating items that (a) include direct comparisons between computers and humans, (b) are independent of specific contexts or technologies, and (c) capture major theoretical domains of social, consumer, and human factors psychology. Results support the hypothesized three-factor structure (efficiency, ease of use, and trust) and demonstrate the utility of this measure to predict everyday consumer decisions beyond extant measures. Additionally, the PCHI offers marketing, user experience, and other practitioners a brief instrument for developing interventions, training protocols, and modeling attitudes

Conceptualization · Consumer behaviour · Data science · Everyday life · Extant taxon · Human–computer interaction · Knowledge management · Order (exchange · Preference · Scale (ratio · Usability · Artificial Intelligence · Computer Science · Digital Marketing and Social Media · Impact of Technology on Adolescents · Psychology · Social Psychology · Technology Adoption and User Behaviour

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