Stephanie Houde

schoolIBMbar_chart#1629 Global Rank

Total Papers

HCI Rank

#1629

Research Areas

Years Active

Recent Publications

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach

Conversational AI agents are commonly applied within single-user, turn-taking scenarios. The interaction mechanics of these scenarios are trivial: when the user enters a message, the AI agent produces a response. However, the interaction dynamics are more complex within group settings. How should an agent behave in th…

CHI '252nd AuthorHuman-LLM Collaboration +2

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation

AI systems powered by large language models can act as capable assistants for writing and editing. In these tasks, the AI system acts as a co-creative partner, making novel contributions to an artifact-under-creation alongside its human partner(s). One question that arises in these scenarios is the extent to which AI…

CUI '24CorrespondingConversational Chatbots +1

Say What? Real-time Linguistic Guidance Supports Novices in Writing Utterances for Conversational Agent Training

Writing utterances to train conversational agents can be a challenging and time-consuming task, and usually requires substantial expertise, meaning that novices face a steep learning curve. We investigated whether novices could be guided to produce utterances that adhere to best practices via an intervention of real-t…

CUI '24CorrespondingConversational Chatbots +2

Towards Interactive Guidance for Writing Training Utterances for Conversational Agents

Improving conversational agents that are trained with supervised learning requires iteratively refining example intent training utterances based on chat log data. The difficulty of this process hinges on the quality of the initial example utterances used to train the intent before it was first deployed. Creating new i…

IUI '225th+ AuthorGenerative AI (Text, Image, Music, Video) +2

Investigating Explainability of Generative Models for Code through Scenario-based Design

What does it mean for a generative AI model to be explainable? The emergent discipline of explainable AI (XAI) has made great strides in helping people understand discriminative models. Less attention has been paid to generative models that produce artifacts, rather than decisions, as output. Meanwhile, generative AI…

IUI '225th+ AuthorGenerative AI (Text, Image, Music, Video) +1

Better Together? An Evaluation of AI-Supported Code Translation

Generative machine learning models have recently been applied to source code, for use cases including translating code between programming languages, creating documentation from code, and auto-completing methods. Yet, state-of-the-art models often produce code that is erroneous or incomplete. In a controlled study wit…

IUI '213rd AuthorGenerative AI (Text, Image, Music, Video) +2

Perfection Not Required? Human-AI Partnerships in Code Translation

Generative models have become adept at producing artifacts such as images, videos, and prose at human-like levels of proficiency. New generative techniques, such as unsupervised neural machine translation (NMT), have recently been applied to the task of generating source code, translating it from one programming langu…

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