Investigating how practitioners use human-ai guidelines: A case study on the people+ ai guidebook
Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …
and services. Recently, practitioner-facing resources and design guidelines have become …
Design Principles for Generative AI Applications
Generative AI applications present unique design challenges. As generative AI technologies
are increasingly being incorporated into mainstream applications, there is an urgent need …
are increasingly being incorporated into mainstream applications, there is an urgent need …
Bridging the Gulf of envisioning: Cognitive design challenges in LLM interfaces
H Subramonyam, R Pea, CL Pondoc… - ar**
Prompt-based interfaces for Large Language Models (LLMs) have made prototy** and
building AI-powered applications easier than ever before. However, identifying potential …
building AI-powered applications easier than ever before. However, identifying potential …
Ganslider: How users control generative models for images using multiple sliders with and without feedforward information
We investigate how multiple sliders with and without feedforward visualizations influence
users' control of generative models. In an online study (N= 138), we collected a dataset of …
users' control of generative models. In an online study (N= 138), we collected a dataset of …
Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles
Motivations: Recent research has emerged on generally how to improve AI products' human-
AI interaction (HAI) user experience (UX), but relatively little is known about HAI-UX …
AI interaction (HAI) user experience (UX), but relatively little is known about HAI-UX …
How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
Conversational Generative AI (convo-genAI) is revolutionizing Software Engineering (SE) as
engineers and academics embrace this technology in their work. However, there is a gap in …
engineers and academics embrace this technology in their work. However, there is a gap in …
A generative framework for designing interactions to overcome the gaps between humans and imperfect AIs instead of improving the accuracy of the AIs
H Yakura - Extended Abstracts of the 2023 CHI Conference on …, 2023 - dl.acm.org
My research focuses on improving human-machine collaboration in the context of machine
learning, particularly by recognizing the limitations and potential for errors in machine …
learning, particularly by recognizing the limitations and potential for errors in machine …
Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMs
Large language models (LLMs) exhibit dynamic capabilities and appear to comprehend
complex and ambiguous natural language prompts. However, calibrating LLM interactions is …
complex and ambiguous natural language prompts. However, calibrating LLM interactions is …