Abstract
We present a study focused on observation of methods of dictation and error correction between humans in a noisy environment. The purpose of this study is to gain insight to natural communication patterns which can then be applied to human – machine interaction. We asked 10 subjects to conduct the standard Lane Change Test (LCT) while dictating messages to a human counterpart who had to note down the message texts. Both parties were located in separate rooms and communicated over Skype. Both were exposed to varying types and levels of noise, which made their communication difficult and forced the subjects to deal with misunderstandings. Dictation of both short and longer messages was tested. We observed how the subjects behaved and we analyzed their communication patterns. We identified and described more then 20 elementary observations related to communication techniques such as synchronization and grounding of parties, error checking and error correction. We also report frequencies of use for each communication pattern and provide basic characteristics of driving distraction during the test.
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References
Brostrom, R., Bengtsson, P., Axelsson, J.: Correlation between safety assessments in the driver-car interaction design process. Applied Ergonomics 42(4), 575–582 (2011)
Cuřín, J., Labský, M., Macek, T., Kleindienst, J., Young, H., Thyme-Gobbel, A., Quast, H., Koenig, L.: Dictating and editing short texts while driving: Distraction and task completion. In: Proceedings of the AutomotiveUI Conference. ACM, New York (2011)
Mattes, S.: The Lane-Change-Task as a Tool for Driver Distraction Evaluation. In: Proc. Annual Spring Conference of the GFA/ISOES (2003)
Karat, J., Horn, H., Karat, C.: Overcoming unusability: Developing efficient strategies in speech recognition systems. In: Proceedings of CHI 2000 Conference, pp. 141–142. ACM, New York (2000)
Kun, A.L., Schmidt, A., Dey, A., Boll, S.: Automotive user interfaces and interactive applications in the car. In: Personal and Ubiquitous Computing, pp. 1–2 (2012)
Hart, S.G., Stayeland, L.E.: Development of NASA-TLX (task load index): Results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload. Amsterdam North Holland Press (1988)
Pauzie, A.: Evaluation of Driver Mental Workload Facing New In-vehicle Information and Communication technology. In: IET Intelligent Transport Systems, Special Issue – Selected Papers from HCD (2008)
Yun-Cheng, J., Paek, T.: A Voice Search Approach to Replying to SMS Messages. In: Proc: INTERSPEECH 2009, 10th Annual Conference of the Intl. Speech Communication Association, Brighton, United Kingdom (2009)
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Kunc, L., Macek, T., Labský, M., Kleindienst, J. (2013). Speech-Based Text Correction Patterns in Noisy Environment. In: Kurosu, M. (eds) Human-Computer Interaction. Interaction Modalities and Techniques. HCI 2013. Lecture Notes in Computer Science, vol 8007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39330-3_7
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DOI: https://doi.org/10.1007/978-3-642-39330-3_7
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