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The importance of search strategy for finding targets in open terrain
- Source :
- Cognitive Research: Principles and Implications, Cognitive Research
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- A number of real-world search tasks (i.e. police search, detection of improvised explosive devices (IEDs)) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time, and the route used to search an area were measured. Participants tended to use an āSā-shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and dyads when searching for targets in open space are discussed.
- Subjects :
- Engineering
Experimental psychology
Cognitive Neuroscience
Open terrain
Experimental and Cognitive Psychology
Terrain
Paired searching
Space (commercial competition)
Large-scale search
Machine learning
computer.software_genre
050105 experimental psychology
03 medical and health sciences
Multiple targets
0302 clinical medicine
0501 psychology and cognitive sciences
Foraging
Search strategy
Visual search
business.industry
05 social sciences
C800
Variable (computer science)
Bounded function
Original Article
Artificial intelligence
business
computer
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 23657464
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Cognitive Research: Principles and Implications
- Accession number :
- edsair.doi.dedup.....3109d6d6ffd2c610a23cab3faed3a257
- Full Text :
- https://doi.org/10.1186/s41235-017-0049-4