Two Strategies for Learning a Route in a Driving Simulator

Aginsky, Vlada; Harris, C. A.; Rensink, Ronald A.; Beusmans, Jack M. H.

doi:10.1006/jevp.1997.0070

Cited by 114 publications

(84 citation statements)

References 8 publications

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“…Furthermore, they found that the use of spatial representations in problem solving is negatively correlated with the use of pictorial representations. Aginsky, Harris, Rensink, and Beusmans (1997) reported a similar dissociation between visual-object versus spatial strategies in wayfinding tasks. They found that some participants based their wayfinding decisions on visually recognized landmarks along a route, whereas others represented the environment as a survey map from the start.…”

mentioning

confidence: 74%

Spatial versus object visualizers: A new characterization of visual cognitive style

2005

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The visual system processes object properties (such as shape and color) and spatial properties (such as location and spatial relations) in distinct systems, and neuropsychological evidence reveals that mental imagery respects this distinction. The findings reported in this article demonstrate that verbalizers typically perform at an intermediate level on imagery tasks, whereas visualizers can be divided into two groups. Specifically, scores on spatial and object imagery tasks, along with a visualizer-verbalizer cognitive style questionnaire, identified a group of visualizers who scored poorly on spatial imagery tasks but excelled on object imagery tasks. In contrast, a second group of visualizers scored high on spatial imagery tasks but poorly on object imagery tasks. The results also indicate that object visualizers encode and process images holistically, as a single perceptual unit, whereas spatial visualizers generate and process images analytically, part by part. In addition, we found that scientists and engineers excel in spatial imagery and prefer spatial strategies, whereas visual artists excel in object imagery and prefer object-based strategies.

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mentioning

confidence: 74%

Spatial versus object visualizers: A new characterization of visual cognitive style

2005

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“…In short, for all three interface technologies, participants did not need many active mental efforts to derive the direction information. As spatial learning is an effortful process (Aginsky and Rensink, 1997;Münzer et al, 2006;Parush et al, 2007), all three interface technologies led to poor results in spatial knowledge acquisition, which were also not significant from each other.…”

Section: Resultsmentioning

confidence: 85%

Evaluating Three Interface Technologies in Assisting Pedestrians' Spatial Knowledge Acquisition

Huang¹,

Schmidt²,

Gärtner³

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Recent years have seen raising interests in mobile pedestrian navigation systems. Different interface technologies can be used to communicate/convey route directions to pedestrians, such as mobile maps, voices, and augmented reality (AR). Many field experiments have been conducted to study the effectiveness of different interface technologies in guiding pedestrians to their destinations. In contrast to other field studies, this article aims at investigating the influence of different interface technologies on spatial knowledge acquisition (spatial learning). With sufficient spatial knowledge about an environment, people can still find their way when navigation systems fail (e.g. out of battery). The goal of this article is to empirically evaluate three GPS-based navigation prototypes (implementing mobile map-based, ARbased, and voice-based guidance respectively) in supporting spatial knowledge acquisition. The field test showed that in terms of spatial knowledge acquisition, the three interface technologies led to comparable poor results, which were also not significantly different from each other. This article concludes with some implications for designing mobile pedestrian navigation systems.

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“…Since Checkland's work, various interpretations of this approach have been validated by other studies as a way of assembling relevant information, capturing relationships and reflecting knowledge (e.g. Aginsky et al 1997).…”

Section: Methodsmentioning

confidence: 99%

Causes, consequences and countermeasures to driver fatigue in the rail industry: The train driver perspective

Filtness

Naweed

2017

Applied Ergonomics

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Two Strategies for Learning a Route in a Driving Simulator

Cited by 114 publications

References 8 publications

Spatial versus object visualizers: A new characterization of visual cognitive style

Spatial versus object visualizers: A new characterization of visual cognitive style

Evaluating Three Interface Technologies in Assisting Pedestrians' Spatial Knowledge Acquisition

Causes, consequences and countermeasures to driver fatigue in the rail industry: The train driver perspective

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