Hyo Jin Do

schoolIBMbar_chart#2655 Global Rank

Total Papers

HCI Rank

#2655

Research Areas

Years Active

Recent Publications

The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes

Large Language Model (LLM)-powered web GUI agents are increasingly automating everyday online tasks. Despite their popularity, little is known about how users' preferences and values impact agents' reasoning and behavior. In this work, we investigate how both explicit and implicit user preferences, as well as the unde…

CHI '26CorrespondingHonorable MentionAI-Assisted Decision-Making & Automation +2

"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work

The growing use of AI applications among freelance workers is reshaping trust and relationships with clients. This paper investigates how both workers and clients perceive AI use and disclosure in the freelance economy through a three-stage study: interviews with workers and two survey studies with workers and clients…

UIST '255th+ AuthorHuman-LLM Collaboration +1

EvalAssist: Insights on Task-Specific Evaluations and AI-Assisted Judgment Strategy Preferences

With the broad availability of large language models and their ability to generate vast outputs using varied prompts and configurations, determining the best output for a given task requires an intensive evaluation process, one where machine learning practitioners must decide how to assess the outputs and then careful…

CSCW '241st AuthorSession 1e: Human-AI Collaboration

Grounding with Structure: Exploring Design Variations of Grounded Human-AI Collaboration in a Natural Language Interface

Selecting an effective utterance among countless possibilities that match a user's intention poses a challenge when using natural language interfaces. To address the challenge, we leveraged the principle of least collaborative effort in communication grounding theory and designed three grounded conversational interact…

CSCW '241st AuthorSession 3e: Trusting the Machine: Fake News. AI Decision-Making, and Auditing

Evaluating What Others Say: The Effect of Accuracy Assessment in Shaping Mental Models of AI Systems

Forming accurate mental models that align with the actual behavior of an AI system is critical for successful user experience and interactions. One way to develop mental models is through information shared by other users. However, this social information can be inaccurate and there is a lack of research examining whe…

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