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Author: 14493

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Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking

When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretations as new insights emerge. Yet existing analysis tools treat narrative as an afterthought, breaking the link between reasoning, reflection…

Oliver Huang et al.University of Toronto

Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation

Recent advances in multi-agent systems (MAS) enable tools for information search and ideation by assigning personas to agents. However, how users can effectively control, steer, and critically evaluate collaboration among multiple domain-expert agents remains underexplored. We present Perspectra, an interactive MAS th…

Yiren Liu et al.University of Illinois Urbana-Champaign

StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation

Design processes involve exploration, iteration, and movement across interconnected stages such as persona creation, problem framing, solution ideation, and prototyping. However, time and resource constraints often hinder designers from exploring broadly, collecting feedback, and revisiting earlier assumptions—making…

Sangho Suh et al.University of Toronto

Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning

Novice programmers are increasingly relying on Large Language Models (LLMs) to generate code for learning programming concepts. However, this interaction can lead to superficial engagement, giving learners an illusion of learning and hindering skill development. To address this issue, we conducted a systematic design…

Majeed Kazemitabaar et al.University of Toronto

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MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality

Students often take digital notes during live lectures, but current methods can be slow when capturing information from lecture slides or the instructor's speech, and require them to focus on their devices, leading to distractions and missing important details. This paper explores supporting live lecture note-taking w…

Leping Qiu et al.University of Toronto

Folk Tales of IoT: Understanding the Impact of Stories on Users' Positive and Negative Perceptions of Smart Home IoT Devices

This study examines how anecdotal stories from friends, peers, and online sources influence non-experts’ perceptions and behaviors toward smart home IoT devices. We surveyed 263 participants, collecting narratives that either positively or negatively influenced their perception of IoT devices, which they retold in tex…

Leah Zhang-Kennedy et al.University of Waterloo

CoLadder: Manipulating Code Generation via Multi-Level Blocks

This paper adopted an iterative design process to gain insights into programmers' strategies when using LLMs for programming. We proposed CoLadder, a novel system that supports programmers by facilitating hierarchical task decomposition, direct code segment manipulation, and result evaluation during prompt authoring.…

Ryan Yen et al.University of Waterloo

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and thousands of visual and textual outputs, offering abundant inspiration for creative endeavors. But are we harnessing their full potential?…

Sangho Suh et al.University of Toronto

Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models

People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city. However, while they often require working in a nonlinear manner --- e.g., to arrange information spatially to organize and make sense of it, current interfaces for in…

Sangho Suh et al.University of Toronto

Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing

Science writers commonly use extended metaphors to communicate unfamiliar concepts in a more accessible way to a wider audience. However, creating metaphors for science writing is challenging even for professional writers; according to our formative study (n=6), finding inspiration and extending metaphors with coheren…

Jeongyeon Kim et al.Stanford University

CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling

Recent work demonstrated how we can design and use coding strips, a form of comic strips with corresponding code, to enhance the teaching and learning in programming. However, creating coding strips is a creative, time-consuming process. Creators have to generate stories from code (code -> story) and design comics fro…

Sangho Suh et al.University of Toronto

Paper Title	Authors	Research Topics	Paper Database	Year
Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretations as new insights emerge. Yet existing analysis tools treat narrative as an afterthought, breaking the link between reasoning, reflection…	OH Oliver Huang et al.University of Toronto
emoji_events Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation Recent advances in multi-agent systems (MAS) enable tools for information search and ideation by assigning personas to agents. However, how users can effectively control, steer, and critically evaluate collaboration among multiple domain-expert agents remains underexplored. We present Perspectra, an interactive MAS th…	YL Yiren Liu et al.University of Illinois Urbana-Champaign
StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation Design processes involve exploration, iteration, and movement across interconnected stages such as persona creation, problem framing, solution ideation, and prototyping. However, time and resource constraints often hinder designers from exploring broadly, collecting feedback, and revisiting earlier assumptions—making…	SS Sangho Suh et al.University of Toronto
Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning Novice programmers are increasingly relying on Large Language Models (LLMs) to generate code for learning programming concepts. However, this interaction can lead to superficial engagement, giving learners an illusion of learning and hindering skill development. To address this issue, we conducted a systematic design…	MK Majeed Kazemitabaar et al.University of Toronto
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality Students often take digital notes during live lectures, but current methods can be slow when capturing information from lecture slides or the instructor's speech, and require them to focus on their devices, leading to distractions and missing important details. This paper explores supporting live lecture note-taking w…	LQ Leping Qiu et al.University of Toronto
Folk Tales of IoT: Understanding the Impact of Stories on Users' Positive and Negative Perceptions of Smart Home IoT Devices This study examines how anecdotal stories from friends, peers, and online sources influence non-experts’ perceptions and behaviors toward smart home IoT devices. We surveyed 263 participants, collecting narratives that either positively or negatively influenced their perception of IoT devices, which they retold in tex…	LZ Leah Zhang-Kennedy et al.University of Waterloo
CoLadder: Manipulating Code Generation via Multi-Level Blocks This paper adopted an iterative design process to gain insights into programmers' strategies when using LLMs for programming. We proposed CoLadder, a novel system that supports programmers by facilitating hierarchical task decomposition, direct code segment manipulation, and result evaluation during prompt authoring.…	RY Ryan Yen et al.University of Waterloo
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and thousands of visual and textual outputs, offering abundant inspiration for creative endeavors. But are we harnessing their full potential?…	SS Sangho Suh et al.University of Toronto
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city. However, while they often require working in a nonlinear manner --- e.g., to arrange information spatially to organize and make sense of it, current interfaces for in…	SS Sangho Suh et al.University of Toronto
Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing Science writers commonly use extended metaphors to communicate unfamiliar concepts in a more accessible way to a wider audience. However, creating metaphors for science writing is challenging even for professional writers; according to our formative study (n=6), finding inspiration and extending metaphors with coheren…	JK Jeongyeon Kim et al.Stanford University
CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling Recent work demonstrated how we can design and use coding strips, a form of comic strips with corresponding code, to enhance the teaching and learning in programming. However, creating coding strips is a creative, time-consuming process. Creators have to generate stories from code (code -> story) and design comics fro…	SS Sangho Suh et al.University of Toronto