Analysis of Factors Affecting Ai-Powered Design Tool Adoption in Ux Design in Sri Lanka

Abstract: The integration of Artificial Intelligence (AI) into User Experience (UX) design has introduced significant transformations by enhancing efficiency, creativity, and decision-making. This study examines the critical factors influencing the adoption of AI-powered design tools among UX professionals in Sri Lanka. Employing a quantitative research approach, data were collected via a structured survey and analyzed using Structural Equation Modeling (SEM) through SmartPLS 4. Results reveal that positive attitudes toward technology, effort expectancy, performance expectancy, and facilitating conditions significantly predict adoption intention, while perceived risks and social influence exhibit limited influence. This research advances theoretical understanding by validating the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) within the UX context. Practical implications are drawn for encouraging AI adoption by creating supportive environments and enhancing perceptions of ease and usefulness. Limitations and directions for future cross-cultural and longitudinal research are discussed.

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Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-05-18
DOI
https://doi.org/10.51583/ijltemas.2025.140400101
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Analysis of Factors Affecting Ai-Powered Design Tool Adoption in Ux Design in Sri Lanka

Amitha Kumara PDKA, G A G AKILA
International Journal of Latest Technology in Engineering Management & Applied Science
Technology Adoption and User Behaviour
article

Analysis of Factors Affecting Ai-Powered Design Tool Adoption in Ux Design in Sri Lanka

Amitha Kumara PDKA, G A G AKILA
article en

Abstract

Abstract: The integration of Artificial Intelligence (AI) into User Experience (UX) design has introduced significant transformations by enhancing efficiency, creativity, and decision-making. This study examines the critical factors influencing the adoption of AI-powered design tools among UX professionals in Sri Lanka. Employing a quantitative research approach, data were collected via a structured survey and analyzed using Structural Equation Modeling (SEM) through SmartPLS 4. Results reveal that positive attitudes toward technology, effort expectancy, performance expectancy, and facilitating conditions significantly predict adoption intention, while perceived risks and social influence exhibit limited influence. This research advances theoretical understanding by validating the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) within the UX context. Practical implications are drawn for encouraging AI adoption by creating supportive environments and enhancing perceptions of ease and usefulness. Limitations and directions for future cross-cultural and longitudinal research are discussed.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(4)
University of Sri Jayewardenepura (LK)
Openalex Percentile: Top 89%
Technology Adoption and User Behaviour
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