Investigating LLM-Assisted Participant Profiles for Sensemaking in Wikipedia Discussions
Lead Researcher
Designing prototypes that present participant information with varying levels of LLM interpretation, and exploring them through interviews.
I am deeply interested in how computer systems help, or can help, us navigate our complex social needs when collaborating and communicating with others. My dissertation research focuses on how AI can support people in making sense of discussions in socially complex collaborative contexts such as Wikipedia.
Computer-Supported Cooperative Work · Computer-Mediated Communication · AI-Mediated Communication and Collaboration
Lead Researcher
Designing prototypes that present participant information with varying levels of LLM interpretation, and exploring them through interviews.
Lead Researcher
Developing a norm-aware AI that reasons about how Wikipedia policies apply to discussions, using curated datasets of past application cases.
Lead Researcher
Examined how people restructure information to support sensemaking of complex disputes on Wikipedia, using a web-based prototype with LLM-supported features.
Lead Researcher
Conducted interviews identifying 13 key elements for discussion summaries and found that AI summaries often missed community-specific aspects.
Principal Investigator
Advising a case-based interview study on why and how students use AI to communicate with different recipients across channels.
Research Assistant
Assisted with qualitative interview analysis and the structuring of key insights that revealed differing impacts on experienced and novice editors.
Lead Researcher
Designed a chatbot prototype supporting information sharing through interviews and a co-creation workshop, and conducted a one-week usability study in a co-living space.
Research Assistant
Assisted in analyzing interviews on teens’ social media fears and in surveying ten empowerment-focused design prototypes.
Lead Researcher
Conducted interviews, a survey, and video analysis to uncover the tension between users’ desire to hide and reveal themselves on camera.
Lead Researcher
Designed and conducted usability testing of video conferencing interfaces that detect study-related motion while minimizing camera exposure.
Lead Researcher
Designed a pseudo-service and ran a one-week usability study with remote workers to examine which awareness information they wanted to share and receive.
Lead Researcher
Conducted a multi-method study assessing existing design recommendations for AI companions, showing that ethical and UX principles are intertwined and context-dependent.
Lead Researcher
Led a 10-day collaborative autoethnography studying AI companion chatbots to rapidly and meaningfully engage with ephemeral and emotionally complex AI systems.
Lead Researcher
Conducted a six-week field study of single households’ smart speaker use, revealing limits to casual conversation.
Lead Researcher
Designed and conducted usability testing of smart speaker services featuring different auditory cues.