Perceptive Agile Measurement: New Instruments for Quantitative Studies in the Pursuit of the Social-Psychological Effect of Agile Practices. - Chaehan So; Wolfgang Scholl (XP, 2009)

Making software teams effective: how agile practices lead to project success through teamwork mechanisms. - Chaehan So (2010)

A Pragmatic AI Approach to Creating Artistic Visual Variations by Neural Style Transfer. - Chaehan So (CoRR, 2018)

Body Follows Eye: Unobtrusive Posture Manipulation Through a Dynamic Content Position in Virtual Reality. - Joon Gi Shin; Doheon Kim; Chaehan So; Daniel Saakes (CHI, 2020)

Human-in-the-Loop Design Cycles - A Process Framework that Integrates Design Sprints, Agile Processes, and Machine Learning with Humans. - Chaehan So (HCI (37), 2020)

What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI. - Chaehan So (HCI (37), 2020)

Who Wins the Game of Thrones? How Sentiments Improve the Prediction of Candidate Choice. - Chaehan So (ICAIIC, 2020)

Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors. - Chaehan So (ICAIIC, 2020)

Aesthetic Preferences of Neural Style Transfer-Generated Portrait Images: An Exploratory Study with the Two-Alternative-Forced-Choice Task. - Chaehan So (ICCC, 2020)

Understanding the Prediction Mechanism of Sentiments by XAI Visualization. - Chaehan So (NLPIR, 2020)

Exploring Meta Learning: Parameterizing the Learning-to-learn Process for Image Classification. - Chaehan So (ICAIIC, 2021)

Natural conversations with a virtual being: How user experience with a current conversational AI model compares to expectations. - Chaehan So; Anel Khvan; Wonjun Choi (Comput. Animat. Virtual Worlds, 2023)

Measuring Aesthetic Preferences of Neural Style Transfer: More Precision With the Two-Alternative-Forced-Choice Task. - Chaehan So (Int. J. Hum. Comput. Interact., 2023)

Approachability and Credibility of Virtual Character Faces: The Role of the Horizontal Viewing Angle. - Chaehan So; Kyuha Jung (Hum. Factors, 2024)

Towards Actionable Data Science: Domain Experts as End-Users of Data Science Systems. - Ju-Yeon Jung; Tom Steinberger 001; Chaehan So (Comput. Support. Cooperative Work., 2024)