CogGauge, Phase I

Cog-Gauge is a portable hand-held game that can be used by astronauts and crew members during space exploration missions to assess their cognitive workload decrements that possibly result from fatigue, stress, or neurocognitive deficits. Cog-Gauge combines behavioral workload assessment using a dual-task approach with predictive workload models to counter the effects of game learning. The game will be built using an iterative usability driven approach where emphasis will be placed on building an engaging relevant game that builds from contextual task analysis and user profiling. The specific technical challenges foreseen are integrating two approaches of cognitive workload modeling, and using learning curves to model game learning, then using algorithms to determine a user's workload as soon as they complete a timed interaction with the game. Specific questions to address pertain to feasibility of proposed solution and hardware/software requirements.

Data and Resources

Field Value
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • geo
  • geoss
  • national
  • north-america
  • united-states
isopen False
license_id us-pd
license_title us-pd
maintainer TECHPORT SUPPORT
maintainer_email hq-techport@mail.nasa.gov
metadata_created 2025-11-30T04:58:53.744252
metadata_modified 2025-11-30T04:58:53.744256
notes Cog-Gauge is a portable hand-held game that can be used by astronauts and crew members during space exploration missions to assess their cognitive workload decrements that possibly result from fatigue, stress, or neurocognitive deficits. Cog-Gauge combines behavioral workload assessment using a dual-task approach with predictive workload models to counter the effects of game learning. The game will be built using an iterative usability driven approach where emphasis will be placed on building an engaging relevant game that builds from contextual task analysis and user profiling. The specific technical challenges foreseen are integrating two approaches of cognitive workload modeling, and using learning curves to model game learning, then using algorithms to determine a user's workload as soon as they complete a timed interaction with the game. Specific questions to address pertain to feasibility of proposed solution and hardware/software requirements.
num_resources 4
num_tags 8
title CogGauge, Phase I