Michael Liut

schoolUniversity of Torontobar_chart#1594 Global Rank

Total Papers

HCI Rank

#1594

Research Areas

Years Active

Recent Publications

From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews

Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This friction suppresses the iterative, exploratory nature of scholarly work. To investigate these challenges, we conducted an exploratory design s…

CHI '264th AuthorParticipatory Design +2

Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation

Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evolution, and productive disagreement, are often poorly supported by software tools that prioritize speed and consensus over interpretive depth.…

DIS '255th+ AuthorHuman-LLM Collaboration +1

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions

Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' experiences. In this work, we employ large language models (LLMs) to create tailored narratives that acknowledge and address unique challenging…

CSCW '24CorrespondingSession 2d: Interaction, Engagement, and Support in Educational Environments

Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (LLMs) offer a promising avenue, with increasing research exploring their educational utility. However, the challenge lies not only in estab…

DIS '24CorrespondingVoice User Interface (VUI) Design +2

Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations

This research evaluates voice-based self-explanations as a pedagogical tool in preparation for lectures, assesses user preferences between voice and text, and derives design insights. We report two studies: Study 1, a quasi-experimental field study, with 247 participants divided into voice-based (N=83), text-based (N=…

CHI '245th+ AuthorHonorable MentionHuman-LLM Collaboration +1

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination

Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense potential for addressing this gap by permitting open-ended inputs, including the ability to customize interventions to individuals' unique…

CHI '245th+ AuthorHuman-LLM Collaboration +1

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

Exploring alternative ideas by rewriting text is integral to the writing process. State-of-the-art Large Language Models (LLMs) can simplify writing variation generation. However, current interfaces pose challenges for simultaneous consideration of multiple variations: creating new variations without overwriting text…

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