Pontus Wärnestål
ABSTRACT
We present an initial set of design principles for designing efficient, effective, coherent, and desirable adaptive spoken interaction for traffic information and navigation. The principles are based on a qualitative analysis of driver interactions with an adaptive speech prototype along with driver interviews. The derived set of principles range from high-level fundamental design values, conceptual and behavioral principles, to low-level interface-level principles that can guide the design of adaptive spoken dialogue interaction in the car from a user experience perspective.
- Pettitt, M., G. Burnett, and A. Stevens, Defining driver distraction. Defining Driver Distraction, 2005. 1(1): p. 112.Google Scholar
- Burnett, G., Designing and Evaluating In-Car UserInterfaces, in Human Computer Interaction: Concepts, Methodologies, Tools, and Applications. 2009, IGI Global. p. 532--551.Google ScholarCross Ref
- Dagmar, K. and S. Albrecht, Design space for driverbased automotive user interfaces, in Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 2009, ACM: Essen, Germany. Google ScholarDigital Library
- Neale, V.L., et al., The 100 car naturalistic driving study, Phase I-experimental design. 2002.Google Scholar
- Albrecht, S., et al., Automotive user interfaces: human computer interaction in the car, in CHI '10 Extended Abstracts on Human Factors in Computing Systems. 2010, ACM: Atlanta, Georgia, USA. Google ScholarDigital Library
- Nass, C.I. and S. Brave, Wired for speech: How voice activates and advances the human-computer relationship. 2005: MIT press Cambridge. Google ScholarDigital Library
- Peissner, M., V. Doebler, and F. Metze, Can voice interaction help reducing the level of distraction and prevent accidentsfi 2011.Google Scholar
- Lavie, T. and J. Meyer, Benefits and costs of adaptive user interfaces. International Journal of Human-Computer Studies, 2010. 68(8): p. 508--524. Google ScholarDigital Library
- Norman, D.A., Emotional design: Why we love (or hate) everyday things. 2007: Basic books.Google Scholar
- Höök, K., Steps to take before intelligent user interfaces become real. Interacting with computers, 2000. 12(4): p. 409--426.Google Scholar
- Jameson, A., Adaptive interfaces and agents. HumanComputer Interaction: Design Issues, Solutions, and Applications, 2009. 105.Google Scholar
- McNee, S.M., J. Riedl, and J.A. Konstan. Being accurate is not enough: how accuracy metrics have hurt recommender systems. in CHI'06 extended abstracts on Human factors in computing systems. 2006. ACM. Google ScholarDigital Library
- Knijnenburg, B.P., et al., Explaining the user experience of recommender systems. User Modeling and User-Adapted Interaction, 2012. 22(4--5): p. 441--504. Google ScholarDigital Library
- McNee, S.M., J. Riedl, and J.A. Konstan. Making recommendations better: an analytic model for humanrecommender interaction. in CHI'06 extended abstracts on Human factors in computing systems. 2006. ACM. Google ScholarDigital Library
- Stefanie, T., et al., Towards efficient human machine speech communication: The speech graffiti project. ACM Trans. Speech Lang. Process., 2005. 2(1): p. 2. Google ScholarDigital Library
- McTear, M.F., Spoken dialogue technology: enabling the conversational user interface. ACM Computing Surveys (CSUR), 2002. 34(1): p. 90--169. Google ScholarDigital Library
- Jönsson, A., A model for habitable and efficient dialogue management for natural language interaction. Natural Language Engineering, 1997. 3(2): p. 103--122. Google ScholarDigital Library
- Shneiderman, B., The limits of speech recognition. Communications of the ACM, 2000. 43(9): p. 63--65. Google ScholarDigital Library
- Grice, H.P., Logic and conversation. 1975, 1975: p. 41--58.Google Scholar
- Larsson, S., L. Santamarta, and A. Jönsson, Using the process of distilling dialogues to understand dialogue systems, in 6th International Conference on Spoken Language Processing ICSLP-2000. 2000: Beijing, China.Google Scholar
- Bernsen, N.O., H. Dybkjaer, and L. Dybkjaer. Principles for the design of cooperative spoken human-machine dialogue. in Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on. 1996. IEEE.Google ScholarCross Ref
- Stevens, A., et al., Design guidelines for safety of invehicle information systems. 2002: TRL Limited.Google Scholar
- Cooper, A., R. Reimann, and D. Cronin, About face 3: the essentials of interaction design. 2012: John Wiley & Sons.Google Scholar
- Rieser, V. and O. Lemon, Developing Dialogue Managers from Limited Amounts of Data, in Data-Driven Methods for Adaptive Spoken Dialogue Systems. 2012, Springer. p. 5--17.Google Scholar
- Webb, N., et al. Wizard of Oz Experiments for a companion dialogue system: eliciting companionable conversation. in Lrec. 2010.Google Scholar
- Dahlbäck, N., A. Jönsson, and L. Ahrenberg, Wizard of Oz studiesfiwhy and how. Knowledge-based systems, 1993. 6(4): p. 258--266.Google ScholarDigital Library
- Reeves, B. and C. Nass, How people treat computers, television, and new media like real people and places. 1996: Cambridge University Press. Google ScholarDigital Library
Index Terms
- Towards a user experience design framework for adaptive spoken dialogue in automotive contexts
Recommendations
Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems
In designing and building tutorial dialogue systems it is important not only to understand the tactics employed by human tutors but also to understand how tutors decide when to use various tactics. We argue that these decisions are based not only on ...
Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design
Highlights- User experience is impacted by interaction style and conversation types in customer service chatbots.
AbstractUnderstanding the user experience of chatbots for customer service is essential to realize the potential of this technology. Such chatbots are typically designed for efficient and effective interactions, accentuating pragmatic quality, ...
Comments