Understanding the Adoption of Voice Activated Personal Assistants
Abstract
This study aims to investigate the factors that affect the usage of voice-activated personal assistants (VAPA) which are mobile device applications such as Siri, Google Now, S Voice, Cortana, Alexa, etc. A theoretical framework is proposed based on the relative technology acceptance model constructs in the light of literature. Data are collected from a total of 183 people with a survey questionnaire. Structural equation modelling (SEM) was applied as the major statistical technique for data analysis. The proposed model has the potential to help technology companies to understand some of the factors influencing user' behaviors and attitudes toward VAPA and improve the technology quality. There are few researches about voice-activated technology adoption in the literature and this is first paper that proposes a research model for acceptance of VAPA.
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TLMs enable on-device natural language understanding, allowing smart home devices to interpret voice commands, automate routines, and interact with users efficiently.
“TLMs enable on-device natural language understanding, allowing smart home devices to interpret voice commands, automate routines, and interact with users efficiently [142].”
From Tiny Language Models for Automation and Control: Overview, Potential Applications, and Future Research Directions (2025) · cites this paper as [142]
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- Authors
- Coskun-Setirek, A., & Mardikyan, S.
- Affiliations
- Boğaziçi University (TR)
- Venue
- International Journal of E-Services and Mobile Applications
- Publisher
- IGI Global Scientific Publishing
- Published
- 2017-07-01
- Volume
- 9
- Issue
- 3
- Pages
- 1-21
- ISSN
- 1941-627X (ISSN-L)
- 1941-6288
- OpenAlex
- W2746140766
- Cited by
- 44
- References
- 62
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 9 · 2022: 8 · 2021: 9 · 2020: 3 · 2019: 5 · 2018: 1
- FWCI
- 3.96
- Type
- journal article
- Language
- ng
- Open access
- closed
- Locations
- International Journal of E-Services and Mobile Applications (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- technology adoption, technology acceptance model, user behavior, user attitudes, mobile application, voice assistants, Siri, Amazon Alexa, Cortana
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