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Author Information
Katherine Driggs-Campbell (University of Illinois at Urbana-Champaign)
Been Kim (Google Brain)
Leila Takayama (Hoku Labs)

I am a human-robot interaction (HRI) specialist, who cares deeply about taking a more human-centered approach to the design of robotic systems. With a background in cognitive science, psychology, and human-computer interaction, I examine human encounters with increasingly autonomous technologies. I received B.A.s in cognitive science and psychology from UC Berkeley, an M.A. in communication from Stanford University, and a Ph.D. in communication from Stanford University. I was also a tenured Associate Professor at UC Santa Cruz until 2022 when I left to pursue my Hoku Labs work. Beyond my academic work, I have led user-experience research for Project Wing and other robotics projects at Google X. At Willow Garage, I led and managed a team that worked on the design of PR2 (a mobile manipulation research robot), the Beam telepresence robots, and ROS (the open-source robot operating system). I have served as a World Economic Forum Global Futures Council Member and Young Global Leader. In 2015, I was presented the IEEE Robotics & Automation Society Early Career Award. In 2012, I was named a TR35 winner and one of the 100 most creative people in business by Fast Company. I have served on advisory boards for Suitable Technologies (acquired by Blue Ocean Robotics), Cobalt Robotics, and Companion. CV: http://www.leilatakayama.org/downloads/LeilaTakayamaCV.pdf
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2021 : Occlusion-Aware Crowd Navigation Using People as Sensors »
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2021 : Advanced Methods for Connectome-Based Predictive Modeling of Human Intelligence: A Novel Approach Based on Individual Differences in Cortical Topography »
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2022 : To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles »
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2022 : Concept-based Understanding of Emergent Multi-Agent Behavior »
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2022 : Panel Discussion »
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2022 : Debate: Robotics for Good »
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2022 : Invited Talk: Been Kim »
Been Kim -
2022 : Panel Discussion »
Chuchu Fan · Stefanos Nikolaidis · Katherine Driggs-Campbell · Matthew Gombolay · Daniel Omeiza -
2022 : To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles »
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2022 : Failure Identification for Semi- and Unstructured Robot Environments »
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2022 Poster: Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis »
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2021 : Fantastic Failures and Where to Find Them: Designing Safe, Robust Autonomy »
Katherine Driggs-Campbell -
2019 : Invited talk #5 »
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2019 : Responsibilities »
Been Kim · Liz O'Sullivan · Friederike Schuur · Andrew Smart · Jacob Metcalf -
2017 : Invited Talk 1 »
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2016 Workshop: Interpretable Machine Learning for Complex Systems »
Andrew Wilson · Been Kim · William Herlands -
2016 Oral: Examples are not enough, learn to criticize! Criticism for Interpretability »
Been Kim · Sanmi Koyejo · Rajiv Khanna -
2016 Poster: Examples are not enough, learn to criticize! Criticism for Interpretability »
Been Kim · Sanmi Koyejo · Rajiv Khanna -
2015 Poster: Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction »
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2014 Poster: The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification »
Been Kim · Cynthia Rudin · Julie A Shah