Michael L. Littman

schoolBrown Universitybar_chart#2338 Global Rank

Total Papers

HCI Rank

#2338

Research Areas

Years Active

Recent Publications

How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

Large language models (LLMs) like GPT-4 can convert natural-language descriptions of a task into computer code, making them a promising interface for end-user programming. We undertake a systematic analysis of how people with and without programming experience describe information-processing tasks (IPTs) in natural la…

UBICOMP '233rd AuthorIoT Device Privacy +1

Helping Users Debug Trigger-Action Programs

Trigger-action programming (TAP) empowers a wide array of users to automate Internet of Things (IoT) devices. However, it can be challenging for users to create completely correct trigger-action programs (TAPs) on the first try, necessitating debugging. While TAP has received substantial research attention, TAP debugg…

CHI '214th AuthorHonorable MentionAutoML Interfaces +1

Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences

Trigger-action programming (if-this-then-that rules) empowers non-technical users to automate services and smart devices. As a user's set of trigger-action programs evolves, the user must reason about behavior differences between similar programs, such as between an original program and several modification candidates…

HRI '20CorrespondingHuman-Robot Collaboration (HRC) +1

Teaching a robot tasks of arbitrary complexity via human feedback

This paper addresses the problem of training a robot to carry out temporal tasks of arbitrary complexity via evaluative human feedback that can be inaccurate. A key idea explored in our work is a kind of curriculum learning—training the robot to master simple tasks and then building up to more complex tasks. We show h…

CHI '195th+ AuthorPrototyping & User Testing +1

How Users Interpret Bugs in Trigger-Action Programming

Trigger-action programming (TAP) is a programming model enabling users to connect services and devices by writing if-then rules. As such systems are deployed in increasingly complex scenarios, users must be able to identify programming bugs and reason about how to fix them. We first systematize the temporal paradigms…

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