@article{ART003234181},
author={Hae-Ryung Lee and Ju-Hye Ha and Chang-Hoon Oh},
title={The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={8},
pages={41-52},
doi={10.9708/jksci.2025.30.08.041}
TY - JOUR
AU - Hae-Ryung Lee
AU - Ju-Hye Ha
AU - Chang-Hoon Oh
TI - The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 8
PB - The Korean Society Of Computer And Information
SP - 41
EP - 52
SN - 1598-849X
AB - This study empirically analyzed the impact of conversational agents applying empathy regulation strategies (congruent, divergent) on user experience when recognizing negative emotional states (anger, sadness) in place recommendation contexts. Negative emotions impair users' judgment and decision-making, highlighting the need for empathetic responses. Yet little research exists on strategy effectiveness. A 2 (anger/sadness) × 2 (congruent/divergent) within-subject experiment was conducted with 44 participants using location recommendation scenarios. Results showed the 'sadness × congruent' condition achieved the highest trust ratings, with congruent strategy showing marginally significant advantage in recommendation acceptance for sadness states. Additionally, 'anger × congruent' strategy received higher evaluations, contrary to the change-oriented behavioral characteristics of anger. Through these findings, this study confirmed that acceptance-centered empathy strategies are generally more effective in emotion-based recommender systems, providing theoretical contributions by applying emotion regulation theory to AI-human interaction and offering guidelines for emotion-based recommender system design.
KW - Conversational Agent;Emotion-based Recommendation System;Empathy Regulation Strategy;Negative Emotion;User Experience
DO - 10.9708/jksci.2025.30.08.041
ER -
Hae-Ryung Lee, Ju-Hye Ha and Chang-Hoon Oh. (2025). The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems. Journal of The Korea Society of Computer and Information, 30(8), 41-52.
Hae-Ryung Lee, Ju-Hye Ha and Chang-Hoon Oh. 2025, "The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems", Journal of The Korea Society of Computer and Information, vol.30, no.8 pp.41-52. Available from: doi:10.9708/jksci.2025.30.08.041
Hae-Ryung Lee, Ju-Hye Ha, Chang-Hoon Oh "The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems" Journal of The Korea Society of Computer and Information 30.8 pp.41-52 (2025) : 41.
Hae-Ryung Lee, Ju-Hye Ha, Chang-Hoon Oh. The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems. 2025; 30(8), 41-52. Available from: doi:10.9708/jksci.2025.30.08.041
Hae-Ryung Lee, Ju-Hye Ha and Chang-Hoon Oh. "The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems" Journal of The Korea Society of Computer and Information 30, no.8 (2025) : 41-52.doi: 10.9708/jksci.2025.30.08.041
Hae-Ryung Lee; Ju-Hye Ha; Chang-Hoon Oh. The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems. Journal of The Korea Society of Computer and Information, 30(8), 41-52. doi: 10.9708/jksci.2025.30.08.041
Hae-Ryung Lee; Ju-Hye Ha; Chang-Hoon Oh. The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems. Journal of The Korea Society of Computer and Information. 2025; 30(8) 41-52. doi: 10.9708/jksci.2025.30.08.041
Hae-Ryung Lee, Ju-Hye Ha, Chang-Hoon Oh. The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems. 2025; 30(8), 41-52. Available from: doi:10.9708/jksci.2025.30.08.041
Hae-Ryung Lee, Ju-Hye Ha and Chang-Hoon Oh. "The Effects of Empathy Regulation Strategies on Negative Emotions in Place Recommender Systems" Journal of The Korea Society of Computer and Information 30, no.8 (2025) : 41-52.doi: 10.9708/jksci.2025.30.08.041
