Human Computer Interaction

Who Should I Trust? Cautiously Learning with Unreliable Experts
An important problem in reinforcement learning is the need for greater sample efficiency. One approach to dealing with this problem is …
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Harnessing the Wisdom of an Unreliable Crowd for Autonomous Decision Making
In Reinforcement Learning there is often a need for greater sample efficiency when learning an optimal policy, whether due to the …
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Should I Trust You? Incorporating Unreliable Expert Advice in Human-Agent Interaction
A major concern in reinforcement learning, especially as it is applied to real-world and robotics problems, is that of …
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Adapting Interaction Environments to Diverse Users through Online Action Set Selection
Interactive interfaces are a common feature of many systems ranging from field robotics to video games. In most applications, these …
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On User Behaviour Adaptation Under Interface Change
Different interfaces allow a user to achieve the same end goal through different action sequences, e.g., command lines vs. drop down …
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