Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2556288.2557003acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Experimental evaluation of user interfaces for visual indoor navigation

Published: 26 April 2014 Publication History

Abstract

Mobile location recognition by capturing images of the environment (visual localization) is a promising technique for indoor navigation in arbitrary surroundings. However, it has barely been investigated so far how the user interface (UI) can cope with the challenges of the vision-based localization technique, such as varying quality of the query images. We implemented a novel UI for visual localization, consisting of Virtual Reality (VR) and Augmented Reality (AR) views that actively communicate and ensure localization accuracy. If necessary, the system encourages the user to point the smartphone at distinctive regions to improve localization quality. We evaluated the UI in a experimental navigation task with a prototype, informed by initial evaluation results using design mockups. We found that VR can contribute to efficient and effective indoor navigation even at unreliable location and orientation accuracy. We discuss identified challenges and share lessons learned as recommendations for future work.

References

[1]
Azuma, R. A survey of augmented reality. Presence-Teleoperators and Virtual Environments 6, 4 (1997), 355--385.
[2]
Beeharee, A. K., and Steed, A. A natural wayfinding exploiting photos in pedestrian navigation systems. In Proc. of the 8th Conf. on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), ACM (2006), 81--88.
[3]
Butz, A., Baus, J., Krüger, A., and Lohse, M. A hybrid indoor navigation system. In Proc. of the 6th Intl. Conf. on Intelligent User Interfaces (IUI), ACM (2001), 25--32.
[4]
Hile, H., and Borriello, G. Positioning and orientation in indoor environments using camera phones. Computer Graphics and Applications, IEEE 28, 4 (2008), 32--39.
[5]
Hile, H., Vedantham, R., Cuellar, G., Liu, A., Gelfand, N., Grzeszczuk, R., and Borriello, G. Landmark-based pedestrian navigation from collections of geotagged photos. In Proc. of the 7th Intl. Conference on Mobile and Ubiquitous Multimedia (MUM), ACM (2008), 145--152.
[6]
Kelley, J. F. An empirical methodology for writing user-friendly natural language computer applications. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems (CHI), ACM (1983), 193--196.
[7]
Kray, C., Elting, C., Laakso, K., and Coors, V. Presenting route instructions on mobile devices. In Proc. of the 8th Intl. Conf. on Intelligent User Interfaces (IUI), ACM (2003), 117--124.
[8]
Kray, C., and Kortuem, G. Interactive positioning based on object visibility. In Mobile Human-Computer Interaction (MobileHCI), S. Brewster and M. Dunlop, Eds., vol. 3160 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004, 276--287.
[9]
Li, B., Salter, J., Dempster, A., and Rizos, C. Indoor positioning techniques based on wireless LAN. In 1st IEEE Intl. Conf. on Wireless Broadband and Ultra Wideband Communications (2006), 13--16.
[10]
Lim, H., Kung, L., Hou, J., and Luo, H. Zero-configuration, robust indoor localization: Theory and experimentation. Tech. rep., Univ. of Illinois, 2005.
[11]
Liu, A., Hile, H., Kautz, H., Borriello, G., Brown, P., Harniss, M., and Johnson, K. Indoor wayfinding: Developing a functional interface for individuals with cognitive impairments. Disability & Rehabilitation: Assistive Technology 3, 1--2 (2008), 69--81.
[12]
Miyashita, T., Meier, P., Tachikawa, T., Orlic, S., Eble, T., Scholz, V., Gapel, A., Gerl, O., Arnaudov, S., and Lieberknecht, S. An augmented reality museum guide. In Proc. of the 7th IEEE/ACM Intl. Symposium on Mixed and Augmented Reality, IEEE (2008), 103--106.
[13]
Miyazaki, Y., and Kamiya, T. Pedestrian navigation system for mobile phones using panoramic landscape images. In Intl. Symposium on Applications and the Internet (SAINT), IEEE (2006).
[14]
Möller, A., Kranz, M., Huitl, R., Diewald, S., and Roalter, L. A mobile indoor navigation system interface adapted to vision-based localization. In Proc. of the 11th Intl. Conf. on Mobile and Ubiquitous Multimedia (MUM), ACM (2012), 4:1--4:10.
[15]
Möller, A., Kray, C., Roalter, L., Diewald, S., and Kranz, M. Tool support for prototyping interfaces for vision-based indoor navigation. In Workshop on Mobile Vision and HCI (MobiVis) on MobileHCI 2012 (2012).
[16]
Mulloni, A., Seichter, H., Dünser, A., Baudisch, P., and Schmalstieg, D. 360 -- panoramic overviews for location-based services. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems (CHI), ACM (2012), 2565--2568.
[17]
Mulloni, A., Wagner, D., Barakonyi, I., and Schmalstieg, D. Indoor positioning and navigation with camera phones. Pervasive Computing, IEEE 8, 2 (2009), 22--31.
[18]
Narzt, W., Pomberger, G., Ferscha, A., Kolb, D., Müller, R., Wieghardt, J., Hörtner, H., and Lindinger, C. Augmented reality navigation systems. Universal Access in the Information Society 4, 3 (2006), 177--187.
[19]
Schroth, G., Huitl, R., Chen, D., Abu-Alqumsan, M., Al-Nuaimi, A., and Steinbach, E. Mobile visual location recognition. IEEE Signal Processing Magazine 28, 4 (2011), 77--89.
[20]
Walther-Franks, B., and Malaka, R. Evaluation of an augmented photograph-based pedestrian navigation system. In Smart Graphics, Springer (2008), 94--105.

Cited By

View all
  • (2024)Indoor navigation map design based on spatial complexityCartography and Geographic Information Science10.1080/15230406.2024.2339296(1-13)Online publication date: 21-May-2024
  • (2023)The Rationale Behind the Design Decisions in an Augmented Reality Mobile e-Health Exergame to Increase Physical Activity for Inactive Older People with Heart Failure (Preprint)JMIR Serious Games10.2196/50066Online publication date: 18-Jun-2023
  • (2023)BeeAR: Augmented Reality Beeline Navigation for Spatial Knowledge AcquisitionProceedings of the ACM on Human-Computer Interaction10.1145/36042467:MHCI(1-17)Online publication date: 13-Sep-2023
  • Show More Cited By

Index Terms

  1. Experimental evaluation of user interfaces for visual indoor navigation

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 April 2014

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. augmented reality
    2. indoor navigation
    3. mobile interaction
    4. virtual reality
    5. visual localization

    Qualifiers

    • Research-article

    Conference

    CHI '14
    Sponsor:
    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

    Acceptance Rates

    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)76
    • Downloads (Last 6 weeks)7
    Reflects downloads up to 01 Oct 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Indoor navigation map design based on spatial complexityCartography and Geographic Information Science10.1080/15230406.2024.2339296(1-13)Online publication date: 21-May-2024
    • (2023)The Rationale Behind the Design Decisions in an Augmented Reality Mobile e-Health Exergame to Increase Physical Activity for Inactive Older People with Heart Failure (Preprint)JMIR Serious Games10.2196/50066Online publication date: 18-Jun-2023
    • (2023)BeeAR: Augmented Reality Beeline Navigation for Spatial Knowledge AcquisitionProceedings of the ACM on Human-Computer Interaction10.1145/36042467:MHCI(1-17)Online publication date: 13-Sep-2023
    • (2023)Feeling of Control in Augmented Reality and Virtual Reality for Virtual Object Manipulation2023 9th International Conference on Virtual Reality (ICVR)10.1109/ICVR57957.2023.10169460(193-199)Online publication date: 12-May-2023
    • (2022)User Preference for Navigation Instructions in Mixed Reality2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR51125.2022.00102(802-811)Online publication date: Mar-2022
    • (2022)Linking the cognitive load induced by route instruction types and building configuration during indoor route guidance, a usability study in VRInternational Journal of Geographical Information Science10.1080/13658816.2022.203208036:10(1978-2008)Online publication date: 4-Mar-2022
    • (2022)Gesture-based guidance for navigation in virtual environmentsJournal on Multimodal User Interfaces10.1007/s12193-022-00395-116:4(371-383)Online publication date: 29-Sep-2022
    • (2021)Taking a closer look at indoor route guidance; usability study to compare an adapted and non-adapted mobile prototypeSpatial Cognition & Computation10.1080/13875868.2021.188541122:1-2(51-73)Online publication date: 14-Feb-2021
    • (2021)“Just Follow the Lights”International Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102692155:COnline publication date: 1-Nov-2021
    • (2021)Campus-Navigation-System Design for Universities – A Method Approach for Wismar Business SchoolHuman Centred Intelligent Systems10.1007/978-981-16-3264-8_1(3-12)Online publication date: 29-May-2021
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media