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Evaluating the Acceptance of Enhanced Generative AI Services

  • Waqas Ahmed*
  • , Ilham Sentosa
  • , Sheikh Muhamad Hizam
  • , Che Rosmawati Che Mat
  • , Martin Spraggon Hernandez
  • *Corresponding author for this work

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

Abstract

The rapid advancement of artificial intelligence (AI) has introduced a spectrum of generative AI services that promise to enhance various professional and personal tasks. This study aims to explore the factors influencing users' intentions to transition from basic to premium generative AI services, focusing on Performance Expectancy (PE), Technology Self-Efficacy (TSE), Personal Innovativeness (PI), and Social Influence (SI). A survey of 193 individuals, primarily university students with an IT background, revealed that PE, TSE, and SI significantly affect the Behavioral Intention (BI) to adopt enhanced services, with SI being the most influential. Contrary to expectations, PI did not predict BI, indicating that innovation alone does not drive the adoption of advanced AI capabilities. The findings suggest that the practicality of AI tools, user confidence in their technical skills, and the persuasive power of social networks are pivotal in the decision-making process for upgrading AI services. This research contributes to the understanding of AI adoption patterns and provides insights for developers and marketers to tailor user experiences and educational initiatives that align with user needs and social dynamics. It also underscores the importance of addressing ethical considerations as AI continues to permeate various aspects of society.

Original languageEnglish
Title of host publicationProceedings - 2023 International Conference on Data, Information and Computing Science, CDICS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-77
Number of pages5
ISBN (Electronic)9798350382778
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 International Conference on Data, Information and Computing Science, CDICS 2023 - Hybrid, Singapore, Singapore
Duration: 8 Dec 202310 Dec 2023

Publication series

NameProceedings - 2023 International Conference on Data, Information and Computing Science, CDICS 2023

Conference

Conference2023 International Conference on Data, Information and Computing Science, CDICS 2023
Country/TerritorySingapore
CityHybrid, Singapore
Period8/12/2310/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • ChatGPT
  • Generative AI
  • Social Influence
  • Technology Acceptance
  • User Behavior

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

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