Abstract
The rapid advancement of vehicular technologies has resulted in an exponential increase of new vehicle functions road assistance and connected vehicles services. Vehicle manuals are designed to provide support and information about the use and maintenance of these features. However, current vehicle user manuals do not allow looking for information under driving conditions. This paper presents the Voice User Help, a smart voice-operated system that utilizes natural language understanding and emotional adaptive interfaces to assist drivers when looking for vehicle information with minimal effect on their driving performance. Additionally, the system presents an opportunity for elder drivers to reduce the learning curve of new in-vehicle technologies and improve efficiency. Results on user acceptance of the Voice User Help, as well as cognitive load and driver distraction effects generated during a simulated drive indicate that the Voice User help is an extremely desirable feature and potentially safe application since it did not significantly decrement driving performance. Furthermore preliminary results on adaptive voice interfaces using emotion recognition indicate that personalization of the interaction will be able to palliate possible negative effects that happen during system error recovery.
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References
Schmidt, A.: Automotive User Interfaces: Human Computer Interaction in the Car. In: CHI 2010, Vancouver, Canada (2010)
Lutz, W., Sanderson, W., Scherbov, S.: The coming acceleration of global population ageing. Nature 451(2), 716–719 (2008)
Scherer, K.R.: Vocal markers of emotion: Comparing induction and acting elicitation. Computer Speech & Language (2011)
Goselin, P.A., Gagné, J.: Use of a Dual-Task Paradigm for Measure Listening Effort. Canadian Journal of Speech-Language Pathology and Audiology 3(2), 159–177 (2010)
Holtzer, R., Burright, R., Donovick, P.: The sensitivity of dual-task performance to cognitive satus in aging. Journal of the International Neuropsychological Society 10, 230–238 (2004)
Schieber, F., Benedetto, J.: Age differences in the functional field-of-view while driving: A preliminary simulator-based study. In: Human Factors and Ergonomics Society, pp. 176–180. HFES (1998)
Pitterman, J., Pitterman, A., Minker, W.: Handling Emotions in Human-Computer Dialogues. Springer, Ulm (2010)
Ziefle, M.: Future technology in the car. Visual and auditory interfaces on in-vehicle technologies for older adults, pp. 62–69. Springer (2008)
Eyben, F.: Emotion on the Road; Necessity, Acceptance, and Feasibility of Affective Computing in the Car. In: Advances in Human-Computer Interaction (2010)
Scherer, K.R.: Psychological models of emotion. In: Broad, J.C. (ed.) The Neuropsychology of Emotion, pp. 137–162. Oxford University Press, New York (2000)
Jeon, M., et al.: Enhanced auditory menu cues improve dual task performance and are preferred with in-vehicle technologies. In: Proceedings of the First International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 91–98. ACM, Essen (2009)
Alvarez, I.: Voice Interfaced User Help. In: Proceedings of the Second International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Pittsburgh, PA, USA (2010)
Chang, J.: Usability evaluation of a Volkswagen Group in-vehicle speech system. In: Proceedings of the First International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, Essen (2009)
Turunen, M., et al.: An architecture and applications for speech-based accessibility systems. IBM Syst. J. 44, 485–504 (2005)
Crestani, F., Du, H.: Written versus spoken queries: a qualitative and quantitative comparative analysis. Journal of the American Society for Information Science and Technology 57(7), 881–890 (2006)
Venkatesh, V., et al.: User acceptance of information technology: towards a unified view. MIS Quaterly 27(3), 425–478 (2003)
Bruyas, M.P., et al.: Consistency and sensitivity of lane change test according to driving simulator characteristics. IET Intelligent Trasnport Systems 2(4), 306–314 (2008)
Lewis, J.R., Sauro, J.: The Factor Structure of the System Usability Scale. In: Kurosu, M. (ed.) HCD 2009. LNCS, vol. 5619, pp. 94–103. Springer, Heidelberg (2009)
Hart, S.G., Stavenland, L.E.: Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human Mental Workload, 139–183 (1988)
Instruments, T.N., NI DiaDem (2012)
Hall, M.: The WEKA Data Mining Software. SIGKDD Explorations 11(1) (2009)
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Alvarez, I., López-de-Ipiña, M.K., Gilbert, J.E. (2012). The Voice User Help, a Smart Vehicle Assistant for the Elderly. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2012. Lecture Notes in Computer Science, vol 7656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35377-2_43
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DOI: https://doi.org/10.1007/978-3-642-35377-2_43
Publisher Name: Springer, Berlin, Heidelberg
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