@article{ART003367500},
author={Hwang Jeong Woo and Kim Seung In},
title={Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution},
journal={Industry Promotion Research},
issn={2466-1139},
year={2026},
volume={11},
number={3},
pages={493-503},
doi={10.21186/IPR.2026.11.3.493}
TY - JOUR
AU - Hwang Jeong Woo
AU - Kim Seung In
TI - Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution
JO - Industry Promotion Research
PY - 2026
VL - 11
IS - 3
PB - Industrial Promotion Institute
SP - 493
EP - 503
SN - 2466-1139
AB - This study examines how pre-use cognitive bias relates to meaning reconstruction through perceived technological imperfection and responsibility attribution in generative AI use. As users encounter hallucinations, unstable outputs, and expectation–performance gaps, AI experience needs to be understood beyond acceptance or continued use. A cross-sectional survey was conducted with 400 adult generative AI users. The data were analyzed using confirmatory factor analysis, HTMT, correlation analysis, regression analysis, and PROCESS Macro Model 6. H1 was not supported because pre-use cognitive bias and perceived technological imperfection were related in a direction opposite to the hypothesis. H2 and H3 were supported: perceived technological imperfection was related to responsibility attribution, and responsibility attribution to meaning reconstruction. The serial indirect effect in H4 was not significant, whereas the PCB→RA→MR path was significant. These findings suggest that meaning reconstruction is more closely associated with users’ interpretation of error responsibility than with technological imperfection alone. The study offers UX implications by emphasizingerror awareness, responsibility boundaries, verification support, and user intervention.
KW - Generative AI;Pre-use Cognitive Bias;Perceived Technological Imperfection;Responsibility Attribution;Meaning Reconstruction
DO - 10.21186/IPR.2026.11.3.493
ER -
Hwang Jeong Woo and Kim Seung In. (2026). Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution. Industry Promotion Research, 11(3), 493-503.
Hwang Jeong Woo and Kim Seung In. 2026, "Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution", Industry Promotion Research, vol.11, no.3 pp.493-503. Available from: doi:10.21186/IPR.2026.11.3.493
Hwang Jeong Woo, Kim Seung In "Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution" Industry Promotion Research 11.3 pp.493-503 (2026) : 493.
Hwang Jeong Woo, Kim Seung In. Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution. 2026; 11(3), 493-503. Available from: doi:10.21186/IPR.2026.11.3.493
Hwang Jeong Woo and Kim Seung In. "Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution" Industry Promotion Research 11, no.3 (2026) : 493-503.doi: 10.21186/IPR.2026.11.3.493
Hwang Jeong Woo; Kim Seung In. Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution. Industry Promotion Research, 11(3), 493-503. doi: 10.21186/IPR.2026.11.3.493
Hwang Jeong Woo; Kim Seung In. Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution. Industry Promotion Research. 2026; 11(3) 493-503. doi: 10.21186/IPR.2026.11.3.493
Hwang Jeong Woo, Kim Seung In. Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution. 2026; 11(3), 493-503. Available from: doi:10.21186/IPR.2026.11.3.493
Hwang Jeong Woo and Kim Seung In. "Meaning Reconstruction in Generative AI Use Experience: The Roles of Pre-use Cognitive Bias and User Responsibility Attribution" Industry Promotion Research 11, no.3 (2026) : 493-503.doi: 10.21186/IPR.2026.11.3.493
