Research on User Participation in Digital Assisted Technology

This study investigates the variables that affect users' engagement with digital assistant technologies (DATs). The study examines the critical elements influencing engagement, such as user expectations, needs, accuracy, ease of use, and personalization. A survey with 149 respondents—mostly young adults who frequently use DATs—was used to gather data. The analysis indicates that user satisfaction is positively impacted by DAT familiarity and the factors influencing their use. The study emphasizes how crucial it is to create accurate, individualized, and user - friendly DATs to increase user satisfaction and engagement. It also urges more investigation into the intricate interactions among variables that affect how users interact with DATs.

Authors

Publication Details

Journal
Journal of Research in Science and Engineering
Published
2024-11-29
DOI
https://doi.org/10.53469/jrse.2024.06(11).11
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on User Participation in Digital Assisted Technology

J Jesy Janet Kumari
Journal of Research in Science and Engineering
AI in Service Interactions
article

Research on User Participation in Digital Assisted Technology

J Jesy Janet Kumari
article en

Abstract

This study investigates the variables that affect users' engagement with digital assistant technologies (DATs). The study examines the critical elements influencing engagement, such as user expectations, needs, accuracy, ease of use, and personalization. A survey with 149 respondents—mostly young adults who frequently use DATs—was used to gather data. The analysis indicates that user satisfaction is positively impacted by DAT familiarity and the factors influencing their use. The study emphasizes how crucial it is to create accurate, individualized, and user - friendly DATs to increase user satisfaction and engagement. It also urges more investigation into the intricate interactions among variables that affect how users interact with DATs.

Journal of Research in Science and EngineeringVol. 6(11)
Openalex Percentile: Top 80%
AI in Service Interactions
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