Spoken dialogue technology

McTear, Michael F.

doi:10.1145/505282.505285

Cited by 276 publications

(140 citation statements)

References 34 publications

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“…In a spoken language system, the speech recognizer output is typically handed to a language understanding component to convert the string of words, possibly including errors, into a semantic representation [13]. At this stage, some of the errors are corrected or dropped; the language understanding component may ignore words that do not appear to contribute to the meaning of a sentence.…”

Section: Speech As Input Modalitymentioning

confidence: 99%

Hands-free documentation

Ward

Novick

2003

Proceedings of the 21st Annual International Conference on Documentation

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In this paper, we introduce an analysis of the requirements and design choices for hands-free documentation. Hands-busy tasks such as cooking or car repair may require substantial interruption of the task: moving the pan off the burner and wiping hands, or crawling out from underneath the car. We review the need for hands-free documentation and explore the role of task in the use of documentation. Our central analysis examines the roles and characteristics of input and output modalities of hands-free documentation. In particular, we review the use of speech as an input modality, and then visual means and speech as possible output modalities. Finally, we discuss the implications of our analysis for the design of hands-free documentation and suggest future work. The design implications include issues of navigating through the documentation, determining the user's task and taskstep, establishing mutual understanding of the state of the task, and determining when to start conveying information to the user.

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Section: Speech As Input Modalitymentioning

confidence: 99%

Hands-free documentation

Ward

Novick

2003

Proceedings of the 21st Annual International Conference on Documentation

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“…Conversational interfaces [86,94,105,113,118] have been proven useful for providing the general public with access to telemedicine services, promoting patients' involvement in their own care, assisting in health care delivery, and improving patient outcome [19]. Bickmore and Giorgino define these systems as being "those automated systems whose primary goal is to provide health communication with patients or consumers primarily using natural language dialog" [19].…”

Section: Introductionmentioning

confidence: 99%

Modeling the user state for context-aware spoken interaction in ambient assisted living

2014

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Ambient Assisted Living (AAL) systems must provide adapted services easily accessible by a wide variety of users. This can only be possible if the communication between the user and the system is carried out through an interface that is simple, rapid, effective, and robust. Natural language interfaces such as dialog systems fulfil these requisites, as they are based on a spoken conversation that resembles human communication. In this paper, we enhance systems interacting in AAL domains by means of incorporating context-aware conversational agents that consider the external context of the interaction and predict the user's state. The user's state is built on the basis of their emotional state and intention, and it is recognized by means of a module conceived as an intermediate phase between natural language understanding and dialog management in the architecture of the conversational agent. This prediction, carried out for each user turn in the dialog, makes it possible to adapt the system dynamically to the user's needs. We have evaluated our proposal developing a context-aware system adapted to patients suffering from chronic pulmonary diseases, and provide a detailed discussion of the positive influenc of our proposal in the success of the interaction, the information and services provided, as well as the perceived quality.

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“…Thus, it is important to identify which modality or combination of modalities would be optimal to present the information and interact with the user. To do so, in the last years there has been an increasing interest in simulating human-to-human communication, including the so-called conversational agents in multi-agents system [8]. There is a high variety of applications in which conversational agents can be used, one of the most wide-spread of which is information retrieval.…”

Section: Introductionmentioning

confidence: 99%

Agent Simulation to Develop Interactive and User-Centered Conversational Agents

Griol

Carbó

Molina

2011

Advances in Intelligent and Soft Computing

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Abstract. In this paper, we present a technique for developing user simulators which are able to interact and evaluate conversational agents. Our technique is based on a statistical model that is automatically learned from a dialog corpus. This model is used by the user simulator to provide the following answer taking into account the complete history of the interaction. The main objective of our proposal is not only to evaluate the conversational agent, but also to improve this agent by employing the simulated dialogs to learn a better dialog model. We have applied this technique to design and evaluate a conversational agent which provides academic information in a multi-agent system. The results of the evaluation show that the conversational agent reduces the time needed to fulfill to complete the the dialogs, thereby allowing the conversational agent to tackle new situations and generate new coherent answers for the situations already present in an initial model.

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Spoken dialogue technology

Cited by 276 publications

References 34 publications

Hands-free documentation

Hands-free documentation

Modeling the user state for context-aware spoken interaction in ambient assisted living

Agent Simulation to Develop Interactive and User-Centered Conversational Agents

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