BeeAR: Augmented Reality Beeline Navigation for Spatial Knowledge Acquisition

Author:

Mazurkiewicz Bartosz1ORCID,Galvão Marcelo de Lima1ORCID,Giannopoulos Ioannis1ORCID

Affiliation:

1. TU Wien, Vienna, Austria

Abstract

Navigation assistance systems have become integral to our daily routines, helping us to find our way through unfamiliar environments. However, their use may come at a price, as empirical evidence suggests a potentially harmful impact of these systems on our spatial abilities, including the acquisition of spatial knowledge. This could be remedied by giving users more freedom and involving them in the decision-making process. Therefore, we present a navigation system that combines augmented reality and Beeline Navigation (BeeAR). Here, the location of the destination is overlaid with a digital landmark and permanently displayed to the user via a visual, translucent AR display (without a map). Since the digital content is integrated into the real world, no mapping between the device and reality is required, potentially lowering the workload. Making one's own decisions along the route is expected to increase engagement with the environment, leading to increased acquisition of spatial knowledge. We compare BeeAR with findings from a previous study comparing Free Choice Navigation (FCN) and Turn-by-Turn (TBT) navigation conducted along the same routes on the outskirts of Vienna, Austria. Although BeeAR and FCN do not provide users with a map, BeeAR users could better retrace the walked route and remembered more points of interest along the route than FCN users. Participants of all three navigation conditions achieved a high configuration similarity between drawn points of interest and their true locations, albeit only one navigation condition included a map.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference70 articles.

1. Judging Distances to Virtual Objects Generated by Optical and Video See-Through Augmented Reality

2. John Brooke . 1996. SUS -- A Quick and Dirty Usability Scale. Usability Evaluation in Industry 189, 3 ( 1996 ). John Brooke. 1996. SUS -- A Quick and Dirty Usability Scale. Usability Evaluation in Industry 189, 3 (1996).

3. Annina Brügger , Kai-Florian Richter , and Sara Irina Fabrikant . 2019. How does navigation system behavior influence human behavior? Cognitive Research: Principles and Implications 4, 1 (13 Feb 2019 ), 5. https://doi.org/10.1186/s41235-019-0156--5 10.1186/s41235-019-0156--5 Annina Brügger, Kai-Florian Richter, and Sara Irina Fabrikant. 2019. How does navigation system behavior influence human behavior? Cognitive Research: Principles and Implications 4, 1 (13 Feb 2019), 5. https://doi.org/10.1186/s41235-019-0156--5

4. MC Chen and JM Wang . 2016. Mobile augmented reality based lost-prevention system. DEStech Transactions on Engineering and Technology Research ( 2016 ). MC Chen and JM Wang. 2016. Mobile augmented reality based lost-prevention system. DEStech Transactions on Engineering and Technology Research (2016).

5. Gregory D. Clemenson , Antonella Maselli , Alexander J. Fiannaca , Amos Miller , and Mar Gonzalez-Franco . 2021. Rethinking GPS navigation: creating cognitive maps through auditory clues. Scientific Reports 11, 1 (08 Apr 2021 ), 7764. https://doi.org/10.1038/s41598-021--87148--4 10.1038/s41598-021--87148--4 Gregory D. Clemenson, Antonella Maselli, Alexander J. Fiannaca, Amos Miller, and Mar Gonzalez-Franco. 2021. Rethinking GPS navigation: creating cognitive maps through auditory clues. Scientific Reports 11, 1 (08 Apr 2021), 7764. https://doi.org/10.1038/s41598-021--87148--4

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GeoAR: a calibration method for Geographic-Aware Augmented Reality;International Journal of Geographical Information Science;2024-05-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3