Plan revision in person-machine dialogue

Jullien, Cléo; Marty, Jean‐Charles

doi:10.3115/976815.976836

Cited by 8 publications

(2 citation statements)

References 6 publications

(3 reference statements)

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“…These communication management acts illustrate the interest of our dialogue model and offer new means to cope with dialogue failure comparing with recent techniques (Jullien & Marty, 1989).…”

Section: • Communication Managementmentioning

confidence: 91%

A task independent oral dialogue model

Bilange

1991

Proceedings of the Fifth Conference on European Chapter of the Association for Computational Linguistics -

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This paper presents a human-machine dialogue model in the field of task-oriented dialogues. The originality of this model resides in the clear separation of dialogue knowledge from task knowledge in order to facilitate for the modeling of dialogue strategies and the maintenance of dialogue coherence. These two aspects are crucial in the field of oral dialogues with a machine considering the current state of the art in speech recognition and understanding techniques. One important theoretical innovation is that our dialogue model is based on a recent linguistic theory of dialogue modeling. The dialogue model considers real-life situations, as our work was based on a real man-machine corpus of dialogues. In this paper we describe the model and the designed formalisms used in the implementation of a dialogue manager module inside an oral dialogue system. An important outcome and proof of our model is that it is able to dialogue on three differ-• ent applications.

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Section: • Communication Managementmentioning

confidence: 91%

A task independent oral dialogue model

Bilange

1991

Proceedings of the Fifth Conference on European Chapter of the Association for Computational Linguistics -

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“…Various kinds of dialogue plans (Larsson and Traum, 2000;Jullien and Marty, 1989) have been used inside dialogue managers in the past. A plan usually models what the system sees as the optimal route to task completion.…”

Section: Dialogue Planmentioning

confidence: 99%

Multimodal and mobile conversational Health and Fitness Companions

Turunen

Hakulinen

Ståhl

et al. 2011

Computer Speech & Language

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Multimodal conversational spoken dialogues using physical and virtual agents provide a potential interface to motivate and support users in the domain of health and fitness. In this paper we present how such multimodal conversational Companions can be implemented to support their owners in various pervasive and mobile settings. We present concrete system architectures, virtual, physical and mobile multimodal interfaces, and interaction management techniques for such companions. In particular, we present how knowledge representation and separation of low-level interaction modelling from high-level reasoning at the domain level makes it possible to implement distributed, but still coherent, interaction with Companions. The distribution is enabled by using a dialogue plan to communicate information from domain level planner to dialogue management and from there to a separate mobile interface. The model enables each part of the system to handle the same information from its own perspective without containing overlapping * Corresponding author Email addresses: mturunen@cs.uta.fi (Markku Turunen), jh@cs.uta.fi (Jaakko Hakulinen), olovs@sics.se (Olov Ståhl), gamback@sics.se (Björn Gambäck), preben@sics.se (Preben Hansen), mcrg@tid.es (Mari C. Rodríguez Gancedo), e.rsai@tid.es (Raúl Santos de la Cámara), c.g.smith@tees.ac.uk 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 logic, and makes it possible to separate task-specific and conversational dialogue management from each other. In addition to technical descriptions, we present results from the first evaluations of the Companions interfaces.

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Domain-related focus-shifting constraints in dialogues with knowledge based systems

Moeller

1996

Trends in Natural Language Generation an Artificial Intelligence Perspective

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Plan revision in person-machine dialogue

Cited by 8 publications

References 6 publications

A task independent oral dialogue model

A task independent oral dialogue model

Multimodal and mobile conversational Health and Fitness Companions

Domain-related focus-shifting constraints in dialogues with knowledge based systems

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