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A study of out-of-turn interaction in menu-based, IVR, voicemail systems

Published:29 April 2007Publication History

ABSTRACT

We present the first user study of out-of-turn interaction inmenu-based, interactive voice-response systems. Out-of-turn interaction is atechnique which empowers the user (unable to respond to the current prompt) totake the conversational initiative by supplying information that is currentlyunsolicited, but expected later in the dialog. The technique permits the userto circumvent any flows of navigation hardwired into the design and navigatethe menus in a manner which reflects their model of the task. We conducted alaboratory experiment to measure the effect of the use of out-of-turninteraction on user performance and preference in a menu-based, voice interfaceto voicemail. Specifically, we compared two interfaces with the exact samehierarchical menu design: one with the capability of accepting out-of-turnutterances and one without this feature. The results indicate that out-of-turninteraction significantly reduces task completion time, improves usability, andis preferred to the baseline. This research studies an unexplored dimension ofthe design space for automated telephone services, namely the nature ofuser-addressable input (utterance) supplied (in-turn vs. out-of-turn), incontrast to more traditional dimensions such as input modality (touch-tone vs.text vs. voice) and style of interaction (menu-based vs. natural language).

References

  1. J. F. Allen, C. I. Guinn, and E. Horvitz. Mixed-Initiative Interaction. IEEE Intelligent Systems, Vol. 14(5):pp. 14--23, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. B. Arons. Hyerspeech: Navigation in Speech-Only Hypermedia. In Proceedings of the Third Annual ACM conference on Hypertext (HT), pp. 133--146, 1991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Brooke. SUS: A Quick and Dirty Usability Scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, and I. L. McClelland, editors, Usability Evaluation in Industry, pp. 189--194. Taylor and Francis, London, 1996.Google ScholarGoogle Scholar
  4. A. L. Gorin, G. Riccardi, and J.H. Wright. How May I Help You? Speech Communication, Vol. 23:pp. 113--127, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. V. Lakshmipathy, C. Schmandt, and N. Marmasse. TalkBack: A Conversational Answering Machine. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), pp. 41--50, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. Mane, S. Boyce, D. Karis, and N. Yankelovich. Designing the User Interface for Speech Recognition Applications. ACM SIGCHI Bulletin, Vol. 28(4):pp. 29--34, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. M. A. Marics and G. Engelbeck. Designing Voice Menu Applications for Telephones. In M. Helander, T.K. Landauer, and P.V. Prabhu, editors, Handbook of Human-Computer Interaction, pp. 1085--1102. Elsevier, Amsterdam, 1997.Google ScholarGoogle ScholarCross RefCross Ref
  8. P. Resnick and R. A. Virzi. Skip and Scan: Cleaning Up Telephone Interface. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp. 419--426, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. P. Resnick and R. A. Virzi. Relief from the Audio Interface Blues: Expanding the Spectrum of Menu, List, and Form Styles. ACM Transactions on Computer-Human Interaction, Vol. 2(2):pp. 145--176, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. Ringel and J. Hirschberg. Automated Message Prioritization: Making Voicemail Retrieval More Efficient. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp. 592--593, 2002. Interactive Poster. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. B. Shneiderman. Designing the User Interface: Strategies for Effective Human-Computer Interaction. Addison-Wesley, Reading, MA, Third edition, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. S. Srinivasan and E. Brown. Is Speech Recognition Becoming Mainstream? IEEE Computer, Vol. 35(4):pp. 38--41, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. B. Suhm, J. Bers, D. McCarthy, B. Freeman, D. Getty, K. Godfrey, and P. Peterson. A Comparative Study of Speech in the Call Center: Natural Language Call Routing vs. Touch-tone Menus. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp. 275--282, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. S. Tomko, T.K. Harris, A. Toth, J. Sanders, A. Rudnicky, and R. Rosenfeld. Towards Efficient Human Machine Speech Communication: The Speech Graffiti Project. ACM Transactions on Speech and Language Processing, Vol. 2(1):pp. 1--27, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. S. Whittaker, R. Davis, J. Hirschberg, and U. Muller. Jotmail: a voicemail interface that enables you to see what was said. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp. 89--96, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. S. Whittaker, J. Hirschberg, B. Amento, L. Stark, M. Bacchiani, P. Isenhour, L. Stead, G. Zamchick, and A. Rosenberg. SCANMail: A Voicemail Interface that Makes Speech Browsable, Readable and Searchable. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp. 275--282, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. N. Yankelovich. How Do Users Know What To Say? ACM Interactions, Vol. 3(6):pp. 32--43, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. M. Yin and S. Zhai. The Benefits of Augmenting Telephone Voice Menu Navigation with Visual Browsing and Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp. 319--327, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. W. Zadrozny, M. Budzikowski, J. Chai, N. Kambhatla, S. Levesque, and N. Nicolov. Natural Language Dialogue for Personalized Interaction. Communications of the ACM, Vol. 43(8):pp. 116--120, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. A study of out-of-turn interaction in menu-based, IVR, voicemail systems

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