Julie Shah

schoolMassachusetts Institute of Technologybar_chart#2042 Global Rank

Total Papers

HCI Rank

#2042

Research Areas

Years Active

Recent Publications

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration

Successful entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this paper, we present a mixed-method study to investigate characteristics of successful entrainment leading to pair and group-based synchronisation. Drawing inspiration from indu…

HRI '24CorrespondingHuman-LLM Collaboration +2

Preference-Conditioned Language-Guided Abstraction

Learning from demonstrations is a common paradigm for users to teach robots but is prone to spurious feature correlations. Recent work constructs state abstractions, i.e. visual representations containing only task-relevant features, from language as a way to perform more generalizable learning. However, these abstrac…

HRI '244th AuthorAI-Assisted Decision-Making & Automation +1

Aligning Human and Robot Representations

To act in the world, robots rely on a representation of salient task aspects: for example, to carry a coffee mug, a robot may consider movement efficiency or mug orientation in its behaviour. However, if we want robots to act for and with people, their representations must not be just functional but also reflective of…

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

Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks

Communication is critical to collaboration; however, too much of it can degrade performance. Motivated by the need for effective use of a robot’s communication modalities, in this work, we present a computational framework that decides if, when, and what to communicate during human-robot collaboration. The framework,…

IUI '18CorrespondingIn-Vehicle Haptic, Audio & Multimodal Feedback +1

Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems

When humans need to navigate across terrain accurately and quickly, they often use portable electronic navigation systems for directional guidance. Prior work in this field has focused on selecting either the visual or haptic sensory modality for providing such guidance and has indicated that either option may be pref…

UIST '18CorrespondingAR Navigation & Context Awareness +1

Intelligent Modality Selection for Navigation Systems

Portable electronic navigation systems are often used for directional guidance when humans need to navigate terrain quickly and accurately. Prior work in this field has focused on using either the visual or haptic sensory modality for providing such guidance, and results have indicated that either option may be prefer…

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