AI healthcare adoption: A privacy calculus model incorporating emotions and techno-social factors

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This research investigates technical characteristics and technological, social, and affective factors that influence the evaluation of perceived privacy risks and benefits toward adopting AI-based smart healthcare services in the USA. The study develops a research model that integrates Privacy Calculus Theory (PCT) with new constructs, i.e., AI technical characteristics (personalization and anthropomorphism), technological factors (perceived ease of use and perceived usefulness), social factors (social influence and privacy regulation) and two opposite emotional states (enjoyment and exhaustion). A survey will be developed and distributed using crowdsourcing through Prolific. The findings of our research will shed light on the different role of technical characteristics and technological, social, and affective factors on the calculus between perceived risks and benefits in relation to the adoption of AI-based smart healthcare services.

Original languageAmerican English
Title of host publication29th Annual Americas Conference on Information Systems, AMCIS 2023
PublisherAssociation for Information Systems
ISBN (Electronic)9781713893592
ISBN (Print)9781958200056
StatePublished - 2023
Event29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 - Panama City, Panama
Duration: 10 Aug 202312 Aug 2023

Publication series

Name29th Annual Americas Conference on Information Systems, AMCIS 2023

Conference

Conference29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023
Country/TerritoryPanama
CityPanama City
Period10/08/2312/08/23

Keywords

  • AI health care adoption
  • emotional factors
  • privacy calculus theory
  • techno-social factors

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