Proceedings ArticleDOI
Wizard of Oz studies: why and how
Nils Dahlbäck,Arne Jönsson,Lars Ahrenberg +2 more
- Vol. 6, Iss: 4, pp 193-200
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TLDR
It is concluded that empirical studies of the unique qualities of man-machine interaction as distinct from general human discourse are required for the development of user-friendly interactive systems.Abstract:
Current approaches to the development of natural language dialogue systems are discussed, and it is claimed that they do not sufficiently consider the unique qualities of man-machine interaction as distinct from general human discourse. It is concluded that empirical studies of this unique communication situation are required for the development of user-friendly interactive systems. One way of achieving this is through the use of so-called Wizard of Oz studies. The focus of the work described in the paper is on the practical execution of the studies and the methodological conclusions drawn on the basis of the authors' experience. While the focus is on natural language interfaces, the methods used and the conclusions drawn from the results obtained are of relevance also to other kinds of intelligent interfaces.read more
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Proceedings ArticleDOI
Towards a user experience design framework for adaptive spoken dialogue in automotive contexts
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TL;DR: An initial set of design principles for designing efficient, effective, coherent, and desirable adaptive spoken interaction for traffic information and navigation are presented, based on a qualitative analysis of driver interactions with an adaptive speech prototype along with driver interviews.
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FlavorDesigner App: Capturing Multisensory Experiences and Crafting Personalized Flavors for Cueing their Recall
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Exploring the role of the semiotic engineering in interaction co-design
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Design and Evaluation of a Prompting Instrument to Support Learning within the Diffusion Simulation Game.
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References
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Simulating speech systems
Norman Fraser,Nigel Gilbert +1 more
TL;DR: The “Wizard of Oz” technique for simulating future interactive technology and a partial taxonomy of such simulations is reviewed and a general Wizard of Oz methodology is suggested.