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Found 5 papers, 0 papers with code
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
Sensemaking in unfamiliar domains can be challenging, demanding considerable user effort to compare different options with respect to various criteria.
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
We also found the most important reasons why developers do not use these tools are because these tools do not output code that addresses certain functional or non-functional requirements and because developers have trouble controlling the tool to generate the desired output.
Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems
An important concern in end user development (EUD) is accidentally embedding personal information in program artifacts when sharing them.
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents
Lastly, we identify several challenges and opportunities, and describe our ongoing work
Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations
In this paper, we describe a new multi-modal domain-independent approach that combines natural language programming and programming-by-demonstration to allow users to first naturally describe tasks and associated conditions at a high level, and then collaborate with the agent to recursively resolve any ambiguities or vagueness through conversations and demonstrations.
Human-Computer Interaction
