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Examines the variety of technological features that clever items' mixture of actual interplay, networking, and processing make possible—capabilities whose capability, if allowed to return to fruition, is really progressive.
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Additional resources for Communicating With Smart Objects: Developing Technology for Usable Persuasive Computing Systems (Innovative Technology Series. Information Systems and Networks)
1996) Commande orale et gestuelle: etude empirique. Technique et Science In-formatiques, 15, pp. 1399-1428. Nigay, L. & Coutaz J. , Vol 15(9), pp. 1195-1225. L. (1999) Ten myths of multimodal interactions, Communications of the ACM, Vol. 42, N°l 1, November, pp. 74-81. , DeAngeli, A. & Kuhn, K. (1997) Integration and synchronization of input modes during multimodal human-computer interaction. In Proceedings of Conference on Human Factors in Computing Systems CHI '97 (22-27 March, Atlanta, GA).
Paivio, Mental representation: A dual coding approach, New York, Oxford University Press, 1986. [PAN 96] F. Panaget, D'un systeme generique de generation d'enonces en contexte de dialogue oral a la formalisation logique des capacites linguistiques d'un agent rationnel dialoguant, Thesis Dissertation, University of Rennes I, 1996. [PIE 97] J-M. Pierrel, L. Romary, G. Sabah, J. Vivier, A. Vilnat, A. Nicolle, Machine, Langage et Dialogue, Collection Figures de 1'interaction, Paris, L'harmattan, 1997.
Searle, in his philosophical theory of language acts ([SEA 69]), goes further. He states that: When an agent performs an illocutionary act8, he performs by the fact referring and predicating acts. This means that each sentence consists of references (to objects in particular) and predications (for example to specify properties of these objects). Many works deal with the comprehension and the generation of linguistic references in dialogue systems. For the comprehension of referential expressions, one is confronted with the problems involved in voice recognition in vocal systems.