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Daphne: A Virtual Assistant for Designing Earth Observation Distributed Spacecraft Missions
- Source :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 30-48 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- This article describes Daphne, a virtual assistant for designing Earth observation distributed spacecraft missions. It is, to the best of our knowledge, the first virtual assistant for such application. The article provides a thorough description of Daphne, including its question answering system and the main features we have implemented to help system engineers design distributed spacecraft missions. In addition, the article describes a study performed at NASA's Jet Propulsion Laboratory (JPL) to assess the usefulness of Daphne in this use case. The study was conducted with N = 9 subjects from JPL, who were asked to work on a mission design task with two versions of Daphne, one that was fully featured implementing the cognitive assistance functions, and one that only had the features one would find in a traditional design space exploration tool. After the task, they filled out a standard user experience survey, completed a test to assess how much they learned about the task, and were asked a number of questions in a semi-structured exit interview. Results of the study suggest that Daphne can help improve performance during system design tasks compared to traditional tools, while keeping the system usable. However, the study also raises some concerns with respect to a potential reduction in human learning due to the use of the cognitive assistant. The article ends with a list of suggestions for future development of virtual assistants for space mission design.
- Subjects :
- Atmospheric Science
Earth observation
Computer science
Design space exploration
Geophysics. Cosmic physics
0211 other engineering and technologies
02 engineering and technology
earth observation
USable
Task (project management)
User experience design
Human–computer interaction
0202 electrical engineering, electronic engineering, information engineering
Question answering
mixed initiative
Computers in Earth Sciences
TC1501-1800
021106 design practice & management
Spacecraft
business.industry
QC801-809
Distributed spacecraft missions
Ocean engineering
machine learning
Systems design
virtual assistant
020201 artificial intelligence & image processing
business
Subjects
Details
- Language :
- English
- ISSN :
- 21511535
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Accession number :
- edsair.doi.dedup.....5ce6612194562fede00efeaa1b5612e6