Can AI (vs. Human) retail assistants effectively reduce consumer discomfort and purchase abandonment? An experimental approach using generative adversarial network

Woo Jin Choi; Chung-Wha (Chloe) Ki; Hyunhwan Lee; Sze Man Chong; Jiayu Wang; Hanfei Xue

Can AI (vs. Human) retail assistants effectively reduce consumer discomfort and purchase abandonment? An experimental approach using generative adversarial network

Woo Jin Choi
, Chung-Wha (Chloe) Ki
, Hyunhwan Lee
, Sze Man Chong
, Jiayu Wang
, Hanfei Xue

School of Fashion and Textiles

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Original language	English
Title of host publication	AIRSI2025 The Metaverse Conference
Pages	157-160
Publication status	Published - 2025
Event	AIRSI2025 The Metaverse Conference - Zaragoza University, Zaragoza, Spain Duration: 9 Jun 2025 → 11 Jun 2025 https://airsi.es/

Conference

Conference	AIRSI2025 The Metaverse Conference
Country/Territory	Spain
City	Zaragoza
Period	9/06/25 → 11/06/25
Internet address	https://airsi.es/

Keywords

AI service robots
discomfort
purchase abandonment
smiling

More information

https://airsi.es/wp-content/uploads/2025/06/Proceedings_AIRSI25_key.pdf

Cite this

@inproceedings{dd4820ddcdf947bbb5e3af313734964f,

title = "Can AI (vs. Human) retail assistants effectively reduce consumer discomfort and purchase abandonment? An experimental approach using generative adversarial network",

keywords = "AI service robots, discomfort, purchase abandonment, smiling",

author = "Choi, \{Woo Jin\} and Ki, \{Chung-Wha (Chloe)\} and Hyunhwan Lee and Chong, \{Sze Man\} and Jiayu Wang and Hanfei Xue",

year = "2025",

language = "English",

pages = "157--160",

booktitle = "AIRSI2025 The Metaverse Conference",

note = "AIRSI2025 The Metaverse Conference ; Conference date: 09-06-2025 Through 11-06-2025",

url = "https://airsi.es/",

}

Choi, WJ, Ki, C-W, Lee, H, Chong, SM, Wang, J & Xue, H 2025, Can AI (vs. Human) retail assistants effectively reduce consumer discomfort and purchase abandonment? An experimental approach using generative adversarial network. in AIRSI2025 The Metaverse Conference. pp. 157-160, AIRSI2025 The Metaverse Conference, Zaragoza, Spain, 9/06/25. <https://airsi.es/wp-content/uploads/2025/06/Proceedings_AIRSI25_key.pdf>

Can AI (vs. Human) retail assistants effectively reduce consumer discomfort and purchase abandonment? An experimental approach using generative adversarial network. / Choi, Woo Jin; Ki, Chung-Wha (Chloe); Lee, Hyunhwan et al.
AIRSI2025 The Metaverse Conference. 2025. p. 157-160.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Can AI (vs. Human) retail assistants effectively reduce consumer discomfort and purchase abandonment? An experimental approach using generative adversarial network

AU - Choi, Woo Jin

AU - Ki, Chung-Wha (Chloe)

AU - Lee, Hyunhwan

AU - Chong, Sze Man

AU - Wang, Jiayu

AU - Xue, Hanfei

PY - 2025

Y1 - 2025

KW - AI service robots

KW - discomfort

KW - purchase abandonment

KW - smiling

M3 - Conference article published in proceeding or book

SP - 157

EP - 160

BT - AIRSI2025 The Metaverse Conference

T2 - AIRSI2025 The Metaverse Conference

Y2 - 9 June 2025 through 11 June 2025

ER -