Towards augmented reality navigation using affordable technology

Palinko, Oskar; Kun, Andrew L.; Cook, Zachary; Downey, Adam; Lecomte, Aaron; Swanson, Meredith; Tomaszewski, Tina

doi:10.1145/2516540.2516569

Cited by 13 publications

(8 citation statements)

References 7 publications

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“…The other measures -mean pupil diameter change (MPDC), mean pupil diameter change rate (MPDCR), and blink latency -suggest that mental workload does not differ. Especially MPDCR is well known to predict workload over intervals of several seconds [49]. All in all, looking at the absence of any significant differences between baseline TOR and the other TORs in three of our four measures (MPDC, MPDCR, and blink latency), results suggest that the additional information does not significantly increase mental workload.…”

Section: Rq4: Mental Workloadmentioning

confidence: 52%

“…Especially the latter can be a problem and researchers need to control for it [55]. Prominent ocular measures for mental workload are based on the pupil diameter (e.g., index of cognitive activity -ICA [39], mean pupil diameter change and change rate [49], index of pupillary activity -IPA [18]), on blink behavior (e.g., blink latency [30], blink rate [3]), or on the movement of the eye (e.g., microsaccades [31])…”

Section: Mental Workload While Drivingmentioning

confidence: 99%

“…Mean pupil diameter change. We recorded pupil diameter and calculated the mean pupil diameter change MPDC following the procedure of Palinko et al [49].…”

Section: Workloadmentioning

confidence: 99%

“…This can represent increased mental workload and vice versa. According to Palinko et al [49], this measure is especially suited for detecting changes in cognitive load during time intervals of several seconds.…”

Section: Workloadmentioning

confidence: 99%

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Stereoscopic 3D dashboards

Weidner

Broll

2020

Pers Ubiquit Comput

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When operating a conditionally automated vehicle, humans occasionally have to take over control. If the driver is out of the loop, a certain amount of time is necessary to gain situation awareness. This work evaluates the potential of stereoscopic 3D (S3D) dashboards for presenting smart S3D takeover requests (TORs) to support situation assessment. In a driving simulator study with a 4 × 2 between-within design, we presented 3 smart TORs showing the current traffic situation and a baseline TOR in 2D and S3D to 52 participants doing the n-back task. We further investigate if non-standard locations affect the results. Takeover performance indicates that participants looked at and processed the TORs' visual information and by that, could perform more safe takeovers. S3D warnings in general, as well as warnings appearing at the participants' focus of attention and warnings at the instrument cluster, performed best. We conclude that visual warnings, presented on an S3D dashboard, can be a valid option to support takeover while not increasing workload. We further discuss participants' gaze behavior in the context of visual warnings for automotive user interfaces.

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Section: Rq4: Mental Workloadmentioning

confidence: 52%

Section: Mental Workload While Drivingmentioning

confidence: 99%

“…Mean pupil diameter change. We recorded pupil diameter and calculated the mean pupil diameter change MPDC following the procedure of Palinko et al [49].…”

Section: Workloadmentioning

confidence: 99%

Section: Workloadmentioning

confidence: 99%

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Stereoscopic 3D dashboards

Weidner

Broll

2020

Pers Ubiquit Comput

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“…However, both of them cannot provide the lane-level navigation guidance. On the other hand, an LED array is introduced on the windshield of vehicles to provide affordable AR instructions [74], which again requires dedicated hardware to support.…”

Section: Ar-based Vehicle Navigationmentioning

confidence: 99%

Smart sensing and mobility analysis for improved transportation efficiency

Cao¹

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Last but not least, I would like to thank my family for the support they give me and in particular, I must acknowledge my fiancee, Xiaoyu Miao. It is your love and support that make me get here. v Contents Statement of Originality i Supervisor Declaration Statement ii Authorship Attribution Statement iii Acknowledgement v List of Acronyms ix Lists of Figures xii Lists of Tables xiii Abstract xiv the Singapore National Science Experiment. As a result, 736 walkways (totaling 161 km in distance) are identified from the mobility dataset collected from 108,337 students in Singapore. We manually verify 224 walkways totaling 32.4 km over a 9 km 2 district through on-site inspection. The results suggest over 96% accuracy of VitalAlley in discovering the walkways.

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On the Use of Persistent Spatial Points for Deploying Path Navigation in Augmented Reality: An Evaluation Study

Bachras

Raptis

Avouris

2019

Human-Computer Interaction – INTERACT 2019

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People use various techniques and tools to perform spatial navigation tasks, such as asking a local person for instructions in order to reach a destination or creating a detailed route plan for their trip through technology-mediated tools. Novel technologies, such as augmented reality, have been introduced to improve the performance and enhance the experience of the end-users. To provide navigation experiences with improved accuracy and decent stability, the developers of such tools can use persistent spatial points, which are stationary points in the real world that an augmented-reality system should keep track of over time. However, the use of persistent spatial points can dramatically increase the development effort, as it requires additional and time-consuming actions to be made by the developers. In this paper, we investigate the use of persistent spatial points for navigation in an AR environment from a developer and an end-user perspective, aiming to understand the tradeoff between the development effort, the user performance, and the user experience. We report an empirical study in which a software engineer developed two versions of an augmented-reality navigation application (one with persistent spatial points and one without) which were used by twenty-eight individuals to navigate. Our study results revealed a trade-off between the development effort, the user performance, and the user experience, which depends on the length of the navigation path. The shorter the path is, the less the need for persistent spatial points is, while, on the other hand, the longer the path is, the more critical it is to use persisting spatial points. Based on the results, we discuss ways of mitigating the development effort while maintaining high user performance and experience.

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Towards augmented reality navigation using affordable technology

Cited by 13 publications

References 7 publications

Stereoscopic 3D dashboards

Stereoscopic 3D dashboards

Smart sensing and mobility analysis for improved transportation efficiency

On the Use of Persistent Spatial Points for Deploying Path Navigation in Augmented Reality: An Evaluation Study

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