I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service

Eleonora Pantano*, Daniele Scarpi

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

107 Citations (Scopus)
780 Downloads (Pure)

Abstract

This research draws upon the increasing usage of AI in service. It aims at understanding the extent to which AI systems have multiple intelligence types like humans and if these types arouse different emotions in consumers. To this end, the research uses a two-study approach: Study 1 builds and evaluates a scale for measuring different AI intelligence types. Study 2 evaluates consumers’ emotional responses to the different AI intelligences. The findings provide a measurement scale for evaluating different types of artificial intelligence against human ones, thus showing that artificial intelligences are configurable, describable, and measurable (Study 1), and influence positive and negative consumers’ emotions (Study 2). The findings also demonstrate that consumers display different emotions, in terms of happiness, excitement, enthusiasm, pride, inspiration, sadness, fear, anger, shame, and anxiety, and also emotional attachment, satisfaction, and usage intention when interacting with the different types of AI intelligences. Our scale builds upon human intelligence against AI intelligence characteristics while providing a guidance for future development of AI-based systems more similar to human intelligences.
Original languageEnglish
Pages (from-to)583-600
Number of pages18
JournalJournal of Service Research
Volume25
Issue number4
Early online date24 May 2022
DOIs
Publication statusE-pub ahead of print - 24 May 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

Research Groups and Themes

  • MGMT Marketing and Consumption

Fingerprint

Dive into the research topics of 'I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service'. Together they form a unique fingerprint.

Cite this