Investigation of Human First-Person Motion Guidance and Perception Behavior in a Simulation Environment

  • Andrew Feit (Creator)

Dataset

Description

To investigate guidance and perception behavior, an experimental system is used to observe this behavior in human subjects. The primary goal of this framework is to present a first-person guidance task to the subject, and observe the action and perception relationships generated by the subject to complete the task. The first-person perspective requires a subject to learn at both the guidance and planning levels. At the planning level to determine feasible routes based on visual cues, and at the guidance level to learn optimal relationships between control actions and visual cue motion. These learning tasks are challenges also faced by autonomous systems with first-person sensors. Understanding how humans perform guidance from this perspective is therefore directly applicable to investigating human-inspired approaches to autonomous guidance.
Date made available2018
PublisherData Repository for the University of Minnesota

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