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Errors in perception are a problem for computer systems that use sensors to perceive the environment. If a computer system is engaged in dialogue with a human user, these problems in perception lead to problems in the dialogue. We present two experiments, one in which participants interact through dialogue with a robot with perfect perception to fulfil a simple task, and a second one in which the robot is affected by sensor errors and compare the resulting dialogues to determine whether the sensor problems have an impact on dialogue success.

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We present an experiment about situated human-computer interaction. Participants interacted with a simulated robot system to complete a series of tasks in a situated environment. Errors were introduced into the robot's perception to produce misunderstandings. We recorded the interactions and attempt to identify strategies the participants used to solve the arising problems.