Designing Experiment Software Optimized for Data Yield, Immersion, and Control in Naturalistic Human Factors Experiments
Abstract
WWe present the Mars Investigation and Navigation Dashboard (MIND), an Unreal Engine–based platform for building and executing configurable, high-fidelity experiments. The MIND was developed to answer the call for experiment software to elicit more natural responses in human factors studies. Its design prioritized ecological validity, usability, and documentation. The participant interface was inspired by real operations software and provides an immersive 3D experience. The system also offers a modern interface that lets experimenters adjust parameters without modifying source code. For downstream analysis, the MIND generates comprehensive internal logs and supports external synchronization via Lab Streaming Layer and outputs to Robot Operating Systems. We illustrate how configurable orchestration, rich logging, and user-centered interfaces can reduce research iteration costs and expand the design space for more naturalistic studies.
Keywords: Experiment Testbed, Human-computer Interaction, Ecological Validity
DOI: 10.54941/ahfe1007548
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