User perceptions and intentions to continue using generative AI tools in the design process

The integration of generative AI into the design process enhances creativity and optimizes workflows, yet research on user engagement and experiential factors is limited. This study addresses the gap by developing a conceptual model that analyzes designers’ perceptions of AI-assisted workflows, adoption attitudes, and sustained usage intentions. Using an extended Technology Acceptance Model (TAM), a survey was conducted with professionals actively employing generative AI tools. The findings indicate that innovativeness, self-efficacy, perceived enjoyment, and service quality significantly impact perceived usefulness and ease of use, influencing intentions to sustain AI adoption. This research offers insights into the long-term integration of generative AI in design, contributing to both academic discourse and practical applications while informing future research on AI-enhanced design methodologies.

Authors

Institutions

Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-04-03
DOI
https://doi.org/10.55214/25768484.v9i4.5933
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

User perceptions and intentions to continue using generative AI tools in the design process

J.E. Kim, Hyungjoon Kim
Edelweiss Applied Science and Technology
BIM and Construction Integration
article

User perceptions and intentions to continue using generative AI tools in the design process

J.E. Kim, Hyungjoon Kim
article en

Abstract

The integration of generative AI into the design process enhances creativity and optimizes workflows, yet research on user engagement and experiential factors is limited. This study addresses the gap by developing a conceptual model that analyzes designers’ perceptions of AI-assisted workflows, adoption attitudes, and sustained usage intentions. Using an extended Technology Acceptance Model (TAM), a survey was conducted with professionals actively employing generative AI tools. The findings indicate that innovativeness, self-efficacy, perceived enjoyment, and service quality significantly impact perceived usefulness and ease of use, influencing intentions to sustain AI adoption. This research offers insights into the long-term integration of generative AI in design, contributing to both academic discourse and practical applications while informing future research on AI-enhanced design methodologies.

Edelweiss Applied Science and TechnologyVol. 9(4)
Joongbu University (KR)
Openalex Percentile: Top 94%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

User perceptions and intentions to continue using generative AI tools in the design process — J.E. Kim, Hyungjoon Kim · Edelweiss Applied Science and Technology (2025) | TGRS Research Map | TGRS