Sensory Contributions to Spatial Knowledge of Real and Virtual Environments

Waller, David; Hodgson, Eric

doi:10.1007/978-1-4419-8432-6_1

Cited by 35 publications

(43 citation statements)

References 100 publications

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“…Each participant was run separately through one session taking anywhere from 60-80 minutes. Each session began with a consent form and informed consent discussion, followed by a Computer Use Questionnaire [Waller 1999], and an online version of the Guilford-Zimmerman Spatial Orientation (GZ-SO) test [Guilford and Zimmerman 1981;Kyritsis and Gulliver 2009]. The remainder of the study consisted of four conditions (Desktop-Flat, Desktop-Smooth, ImmersiveFlat, and Immersive-Smooth).…”

Section: Methodsmentioning

confidence: 99%

“…Those that have compared the two sources of influence have found that the impact of environment and design variables is largely task dependent, and that these kinds of individual differences are a major source of variation in both real world and computer related spatial tasks [Bryant 1982;Hegarty et al 2006;Wolbers and Hegarty 2010]. Differences between participants in some cases were large enough to make finding other significant effects difficult [Waller 1999]. Despite the high degree of variance that has been attributed to individual differences, the vast majority of VR research continues to focus on physical aspects of the VR interface, or individual characteristics with only little research measuring both sources of influence or the interaction between the two.…”

Section: Introductionmentioning

confidence: 96%

“…Studies that have looked exclusively at individual characteristics have identified a number of variables that correlate highly with performance on spatial tasks. For example, large-scale spatial ability [Waller 1999], self-reported sense of direction [Hegarty et al 2002], gender [Lawton 1994], and familiarity [Thorndyke and HayesRoth 1982]. However, these are rarely measured in conjunction with environmental variables and generally measure spatial tasks such as pointing and distance estimation rather than navigation.…”

Section: Introductionmentioning

confidence: 99%

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The influence of shading, display size and individual differences on navigation in virtual reality

Hastings

Riecke

2014

Proceedings of the ACM Symposium on Applied Perception

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Despite extensive usability research on virtual reality (VR) within academia and the increasing use of VR within industry, there is little research evaluating the usability and benefits of VR in applied settings. This is problematic for individuals desiring design principals or best practices for incorporating VR into their business. Furthermore, the literature that does exist often doesn't account for the characteristics of intended users. This shortage is problematic because individual differences have been shown to have a significant impact on performance in spatial tasks. The research presented here is an evaluation of a VR system in use at The Boeing Company, with 28 employees performing navigation and wayfinding tasks across two shading conditions (flat/smooth) and two display conditions (desktop/immersive). Performance was measured based on speed and accuracy. Individual difference factors were used as covariates. Results showed that women and those with high spatial orientation ability performed faster in smooth shading conditions, while flat shading benefited those with low spatial ability particularly for the navigation task. Unexpectedly, immersive presentation did not improve performance significantly. These results demonstrate the impact of individual differences on spatial performance and help determine appropriate tasks, display parameters, and suitable users for the VR system.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The influence of shading, display size and individual differences on navigation in virtual reality

Hastings

Riecke

2014

Proceedings of the ACM Symposium on Applied Perception

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“…Interfaces such as virtual reality 3D glasses and a remote control for movement generate, in turn, a feeling of immersion [45]. Waller [46] affirms that navigation through virtual environments (VEs) may depend on the user's ability to manipulate the locomotion interface. In this sense, the joystick allows a very intuitive and low price hands-on training setup for educational purposes (Figure 1).…”

Section: Virtual Immersive Environments With Google Street View Geospmentioning

confidence: 99%

“…Thus, in this research, we use an urban environment represented through the Google Street View application. Research has been carried out in which it is stated that the estimation of distances in immersed processes using virtual reality is similar to that obtained in open environments [46], and that the acquisition of spatial knowledge is as effective as that acquired in an open environment [48][49][50]. …”

Section: Virtual Immersive Environments With Google Street View Geospmentioning

confidence: 99%

Geospatial Google Street View with Virtual Reality: A Motivational Approach for Spatial Training Education

Carrera¹,

Saorín²

2017

IJGI

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Abstract:Motivation is a determining factor in the learning process, and encourages the student to participate in activities that increase their performance. Learning strategies supplemented by computer technology in a scenario-based learning environment can improve students' motivation for spatial knowledge acquisition. In this sense, a workshop carried out with 43-second year engineering students supported by Google Street View mobile geospatial application for location-based tasks is presented, in which participants work in an immersive wayfinding 3D urban environment on virtual reality. Students use their own smartphones with Google Street View application integrated in virtual reality (VR) 3D glasses with a joystick as locomotion interface. The tool to analyse the motivational factor of this pedagogical approach is the multidimensional measurement device Intrinsic Motivation Inventory with six subscales: interest, perceived competence, perceived choice, effort, tension, and value, measured on a seven point Likert scale. Scores in all subscales considered are above 4 on a scale of 7. A usability study conducted at the end of the experiment provides values above 3 on a scale of 5 in efficacy, efficiency and satisfaction. The results of the experiment carried out indicate that geospatial Google Street View application in Virtual Reality is a motivating educational purpose in the field of spatial training.

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