Toward Becoming a Better Self: Understanding Self-Tracking Experiences of Adolescents with Autism Spectrum Disorder Using Custom Trackers. - Sung-In Kim; Eunkyung Jo; Myeonghan Ryu; Inha Cha; Young-Ho Kim; Heejung Yoo; Hwajung Hong (PervasiveHealth, 2019)

Exploring the Use of a Voice-based Conversational Agent to Empower Adolescents with Autism Spectrum Disorder. - Inha Cha; Sung-In Kim; Hwajung Hong; Heejeong Yoo; Youn-Kyung Lim (CHI, 2021)

The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data. - Inha Cha; Juhyun Oh; Cheul Young Park; Jiyoon Han; Hwalsuk Lee (CoRR, 2022)

Unlocking the Tacit Knowledge of Data Work in Machine Learning. - Inha Cha; Juhyun Oh; Cheul Young Park; Jiyoon Han; Hwalsuk Lee (CHI Extended Abstracts, 2023)

Ethics Pathways: A Design Activity for Reflecting on Ethics Engagement in HCI Research. - Inha Cha; Ajit G. Pillai; Richmond Y. Wong (Conference on Designing Interactive Systems, 2024)

Investigating the Potential of Group Recommendation Systems As a Medium of Social Interactions: A Case of Spotify Blend Experiences between Two Users. - Daehyun Kwak; Soobin Park; Inha Cha; Hankyung Kim; Youn-Kyung Lim (CHI, 2024)

The Generative AI Paradox in Evaluation: "What It Can Solve, It May Not Evaluate". - Juhyun Oh; Eunsu Kim; Inha Cha; Alice Oh (EACL (Student Research Workshop), 2024)

Uncovering Factor Level Preferences to Improve Human-Model Alignment. - Juhyun Oh; Eunsu Kim; Jiseon Kim; Wenda Xu; Inha Cha; William Yang Wang; Alice Oh (CoRR, 2024)

Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices. - Inha Cha; Richmond Y. Wong (CHI, 2025)