skip to main content
10.1145/2851581.2892469acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract

Towards Understanding How Speech Output Affects Navigation System Credibility

Published:07 May 2016Publication History

ABSTRACT

Navigation systems are widely used yet little is understood about how aspects of the interaction impact our assessment of these systems. Our work focuses on the speech output, exploring how accent and system errors affect our credibility judgements. Findings from a small-scale pilot study show that destination errors significantly affect user trust and competence assessments of a navigation system. People also rate navigation systems using speech output with a similar accent to their own as more trustworthy than a system using a different accent, irrespective of destination errors made. Future work looks to increase the scale of the study and add further conditions to explore the role of user nationality, accent and the geographical location being navigated on system credibility.

References

  1. Barry Brown and Eric Laurier. 2012. The Normal Natural Troubles of Driving with GPS. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 1621-1630. http://doi.org/10.1145/2207676.2208285 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Nils Dahlbäck, Seema Swamy, Clifford Nass, Fredrik Arvidsson, and Jörgen Skågeby. 2001. Spoken Interaction with Computers in a Native or Non-Native Language Same Or Different? Proceedings INTERACT 2001, 294-301.Google ScholarGoogle Scholar
  3. Nils Dahlbäck, QianYing Wang, Clifford Nass, and Jenny Alwin. 2007. Similarity is More Important Than Expertise: Accent Effects in Speech Interfaces. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 1553-1556. http://doi.org/10.1145/1240624.1240859 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Chad Edwards, Autumn Edwards, Patric R. Spence, and Ashleigh K. Shelton. 2014. Is that a bot running the social media feed? Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers in Human Behavior 33: 372-376. http://doi.org/10.1016/j.chb.2013.08.013 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Chad Edwards, Patric R. Spence, Christina J. Gentile, America Edwards, and Autumn Edwards. 2013. How much Klout do you have. .. A test of system generated cues on source credibility. Computers in Human Behavior 29, 5: A12-A16. http://doi.org/10.1016/j.chb.2012.12.034Google ScholarGoogle ScholarCross RefCross Ref
  6. Ayako Ikeno and John H. L. Hansen. 2007. The Effect of Listener Accent Background on Accent Perception and Comprehension. EURASIP J. Audio Speech Music Process. 2007, 3: 4:1-4:8. http://doi.org/10.1155/2007/76030Google ScholarGoogle ScholarCross RefCross Ref
  7. Brit Susan Jensen, Mikael B. Skov, and Nissanthen Thiruravichandran. 2010. Studying Driver Attention and Behaviour for Three Configurations of GPS Navigation in Real Traffic Driving. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 1271-1280. http://doi.org/10.1145/1753326.1753517 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Kenneth A. Lachlan, Patric R. Spence, Autumn Edwards, Katie M. Reno, and Chad Edwards. 2014. If you are quick enough, I will think about it: Information speed and trust in public health organizations. Computers in Human Behavior 33: 377-380. http://doi.org/10.1016/j.chb.2013.08.014 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. A. Lawrence. 2013. ez: Easy analysis and visualization of factorial experiments. Retrieved from http://CRAN.R-project.org/package=ezGoogle ScholarGoogle Scholar
  10. Gilly Leshed, Theresa Velden, Oya Rieger, Blazej Kot, and Phoebe Sengers. 2008. In-car Gps Navigation: Engagement with and Disengagement from the Environment. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 1675-1684. http://doi.org/10.1145/1357054.1357316 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. C. McCroskey and J. J. Teven. 1999. Goodwill: A Reexamination of the Construct and its Measurement. Communication Monographs 66: 90-103.Google ScholarGoogle ScholarCross RefCross Ref
  12. R Core Team. 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved from http://www.R-project.org/Google ScholarGoogle Scholar
  13. Byron Reeves and Clifford Nass. 1998. The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places. Cambridge University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Florian Schaub, Markus Hipp, Frank Kargl, and Michael Weber. 2013. On Credibility Improvements for Automotive Navigation Systems. Personal Ubiquitous Comput. 17, 5: 803-813. http://doi.org/10.1007/s00779-012-0519-0 Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Julia Schreiber. 2009. Bridging the Gap Between Useful and Aesthetic Maps in Car Navigation Systems. Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM, 51:1-51:4. http://doi.org/10.1145/1613858.1613922 Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. J. Teven and J. C. McCroskey. 1997. The relationship of perceived teacher caring with student learning and teacher evaluation. Communication Education 46: 167-177.Google ScholarGoogle ScholarCross RefCross Ref
  17. H. Wickham. 2009. ggplot2: elegant graphics for data analysis. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. The 19 Most Ridiculous Apple Maps Fails. The Huffington Post. Retrieved January 12, 2016 from http://www.huffingtonpost.com/2012/09/20/applemap-fails-ios-6-maps_n_1901599.htmlGoogle ScholarGoogle Scholar

Index Terms

  1. Towards Understanding How Speech Output Affects Navigation System Credibility

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
      May 2016
      3954 pages
      ISBN:9781450340823
      DOI:10.1145/2851581

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 May 2016

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      CHI EA '16 Paper Acceptance Rate1,000of5,000submissions,20%Overall Acceptance Rate6,164of23,696submissions,26%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader