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How does navigation system behavior influence human behavior?
- Source :
- Cognitive Research, Vol 4, Iss 1, Pp 1-22 (2019), Cognitive Research: Principles and Implications (4), Cognitive Research: Principles and Implications
- Publication Year :
- 2019
- Publisher :
- SpringerOpen, 2019.
-
Abstract
- Navigation systems are ubiquitous tools to assist wayfinders of the mobile information society with various navigational tasks. Whenever such systems assist with self-localization and path planning, they reduce human effort for navigating. Automated navigation assistance benefits navigation performance, but research seems to show that it negatively affects attention to environment properties, spatial knowledge acquisition, and retention of spatial information. Very little is known about how to design navigation systems for pedestrian navigation that increase both navigation performance and spatial knowledge acquisition. To this end, we empirically tested participants (N = 64) using four different navigation system behaviors (between-subject design). Two cognitive processes with varying levels of automation, self-localization and allocation of attention, define navigation system behaviors: either the system automatically executes one of the processes (high level of automation), or the system leaves the decision of when and where to execute the process to the navigator (low level of automation). In two experimental phases, we applied a novel empirical framework for evaluating spatial knowledge acquisition in a real-world outdoor urban environment. First, participants followed a route assisted by a navigation system and, simultaneously, incidentally acquired spatial knowledge. Second, participants reversed the route using the spatial knowledge acquired during the assisted phase, this time without the aid of the navigation system. Results of the route-following phase did not reveal differences in navigation performance across groups using different navigation system behaviors. However, participants using systems with higher levels of automation seemed not to acquire enough spatial knowledge to reverse the route without navigation errors. Furthermore, employing novel methods to analyze mobile eye tracking data revealed distinct patterns of human gaze behavior over time and space. We thus can demonstrate how to increase spatial knowledge acquisition without harming navigation performance when using navigation systems, and how to influence human navigation behavior with varying navigation system behavior. Thus, we provide key findings for the design of intelligent automated navigation systems in real-world scenarios.
- Subjects :
- 2805 Cognitive Neuroscience
Location-based services (LBS)
Ecological validity
Computer science
Cognitive Neuroscience
Poison control
Experimental and Cognitive Psychology
lcsh:Consciousness. Cognition
050105 experimental psychology
Automation
Human–computer interaction
11. Sustainability
Information system
0501 psychology and cognitive sciences
Attention
Motion planning
910 Geography & travel
Spatial analysis
Systemvetenskap, informationssystem och informatik
050107 human factors
Applied Psychology
Ecological Validity
empirical user study
Human–computer interaction (HCI)
Incidental learning
location-based services (LBS)
Spatial cognition
3205 Experimental and Cognitive Psychology
business.industry
05 social sciences
Navigation system
Human Computer Interaction
Tillämpad psykologi
Människa-datorinteraktion (interaktionsdesign)
lcsh:BF309-499
10122 Institute of Geography
Eye tracking
Original Article
Empirical user study
business
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 23657464
- Volume :
- 4
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Cognitive Research
- Accession number :
- edsair.doi.dedup.....c8177d232bdfe6113fc137a0b53c7ece