Navigating in a virtual environment with model-generated support

Oostendorp, Herre van; Karanam, Saraschandra

doi:10.1145/2501907.2501948

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…1,2 Moreover, the combination of higher spatial knowledge retention and higher navigational efficiency found in VR compared with the non-VR/ desktop condition mirrors hypertext findings that spatial ability is a predictor of navigational performance. 68,69 In contrast to spatial information, no significant difference was found for retention of story-based information. A simple explanation is that no significant difference, across conditions, was found in two of the control variables: cognitive interest and engagement, which are thought to be related to learning.…”

Section: Discussionmentioning

confidence: 88%

Virtual Reality Aids Game Navigation: Evidence from the Hypertext Lostness Measure

Ferguson

Broek

Oostendorp

et al. 2020

Cyberpsychology, Behavior, and Social Networking

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Instead of traditional free movement, node-based movement can be used in virtual reality (VR) games. In nodebased movement systems, players navigate by jumping to set locations. Node-based movement is similar to hypertext navigation. We show that the hypertext lostness measure can be used as a game analytic to evaluate navigational efficiency. In a randomized controlled trial with 25 adolescent participants, an immersive desktop game environment and a VR game environment were compared on the transmission of in-game educational content and navigational efficiency. Results show that the hypertext lostness measure is also valuable outside its original hypertext domain: in VR. VR did not improve players' retention of factual knowledge, but did significantly improve players' spatial knowledge and navigational efficiency. We conclude (a) the hypertext lostness measure is also valuable for node-based VR games and (b) VR games add to spatial learning, even when compared with already immersive desktop games.

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Section: Discussionmentioning

confidence: 88%

Virtual Reality Aids Game Navigation: Evidence from the Hypertext Lostness Measure

Ferguson

Broek

Oostendorp

et al. 2020

Cyberpsychology, Behavior, and Social Networking

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“…We pose that lostness (Smith, 1996), an unobtrusive navigational efficiency measure shown to be successful in predicting success in information-seeking tasks in hypertext, can also be used in VR games that use a node-link approach, due to the similarity in process and structure. This measure has already been shown to be effective in VR for generating navigational support as well as having a strong correlation with spatial ability (Van Oostendorp and Karanam, 2013), which is strongly linked with navigational efficiency.…”

Section: Lostnessmentioning

confidence: 99%

Lost in Learning: Hypertext Navigational Efficiency Measures Are Valid for Predicting Learning in Virtual Reality Educational Games

Ferguson

Oostendorp

2020

Front. Psychol.

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The lostness measure, an implicit and unobtrusive measure originally designed for assessing the usability of hypertext systems, could be useful in Virtual Reality (VR) games where players need to find information to complete a task. VR locomotion systems with node-based movement mimic actions for exploration and browsing found in hypertext systems. For that reason, hypertext usability measures, such as “lostness” can be used to identify how disoriented a player is when completing tasks in an educational game by examining steps made by the player. An evaluation of two different lostness measures, global and local lostness, based on two different types of tasks, is described in a VR educational game using 13 college students between 14 and 18 years old in a first study and extended using 12 extra participants in a second study. Multiple Linear Regression analyses showed, in both studies, that local lostness, and not global lostness, had a significant effect on a post-game knowledge test. Therefore, we argued that local lostness was able to predict how well-participants would perform on a post-game knowledge test indicating how well they learned from the game. In-game experience aspects (engagement, cognitive interest, and presence) were also evaluated and, interestingly, it was also found that participants learned less when they felt more present in the game. We believe these two measures relate to cognitive overload, which is known to have an adverse effect on learning. Further research should investigate the lostness measure for use in an online adaptive game system and design the game system in such a way that the risk of cognitive overload is minimized when learning, resulting in higher retention of information.

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Cognitive Modeling of Age and Domain Knowledge Differences in Information Search

Karanam

Oostendorp

2020

Human–Computer Interaction Series

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Navigating in a virtual environment with model-generated support

Cited by 4 publications

References 28 publications

Virtual Reality Aids Game Navigation: Evidence from the Hypertext Lostness Measure

Virtual Reality Aids Game Navigation: Evidence from the Hypertext Lostness Measure

Lost in Learning: Hypertext Navigational Efficiency Measures Are Valid for Predicting Learning in Virtual Reality Educational Games

Cognitive Modeling of Age and Domain Knowledge Differences in Information Search

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