POMDP concept policies and task structures for hybrid dialog management

Varges, Sebastian; Riccardi, Giuseppe; Quarteroni, Silvia; Ivanov, Alexei V.

doi:10.1109/icassp.2011.5947627

Cited by 5 publications

(2 citation statements)

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“…More recent research work is heading into the direction of adaptive strategy self-learning (e.g. [18]) or combination of knowledge-based and adaptive systems ( [19]). Although these stochastic models have the appropriate requirements for the complex decision making of VA, at the moment the research challenges are the a) scalability, b) the performances and c) the design of reward function that is appropriate for a target domain, user ( group ) and application.…”

Section: E) Dialoguabilitymentioning

confidence: 99%

Towards healthcare personal agents

Riccardi

2014

Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research Including Business Opportunities

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For a long time, the research on human-machine conversation and interaction has inspired futuristic visions created by film directors and science fiction writers. Nowadays, there has been great progress towards this end by the extended community of artificial intelligence scientists spanning from computer scientists to neuroscientists. In this paper we first review the tension between the latest advances in the technology of virtual agents and the limitations in the modality, complexity and sociability of conversational agent interaction. Then we identify a research challenge and target for the research and technology community. We need to create a vision and research path to create personal agents that are perceived as devoted assistants and counselors in helping end-users managing their own healthcare and well-being throughout their life. Such target is a high-payoff research agenda with high-impact on the society. In this position paper, following a review of the state-of-the-art in conversational agent technology, we discuss the challenges in spoken/multimodal/multi-sensorial interaction needed to support the development of Healthcare Personal Agents.

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Section: E) Dialoguabilitymentioning

confidence: 99%

Towards healthcare personal agents

Riccardi

2014

Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research Including Business Opportunities

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“…Recently, two major stochastic dialogue modeling approaches are developed for the DM component. The first one approach using reinforcement learning based on Markov decision process (MDP) [20] or partially observable MDP (POMDP) [14][21] [22] is widely used to determine which action a system should take in a given situation. Another one is to employ the finite-state transducer (FST)-based techniques to automatically create the DM component from an n-gram model of a tag sequence [23] [24].…”

Section: Introductionmentioning

confidence: 99%

Affective-cognitive dialogue act detection in an error-aware spoken dialogue system

Liang

Sheng

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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This paper presents an approach to affectivecognitive dialogue act detection in a spoken dialogue. To achieve this goal, the input utterance is decoded as the affective state by an emotion recognizer and a word sequence by an imperfect speech recognizer separately. Besides, four types of evidences are employed to grade the score of each recognized word. The recognized word sequence is used to derive the candidate sentences to alleviate the problem of unexpected language usage for the cognitive state predicted by the vector space-based dialogue act detection. The Boltzmann selection based method is then employed to predict the next possible act in the spoken dialogue system according to the affective-cognitive states. A model of affective anticipatory reward that is assumed to arise from the emotional seeking system is adopted for enhancing the efficacy of dialogue act detection. Finally, the evaluation data are collected and the experimental results confirm the improved performance of the proposed approach compared to the baseline system on the task completion rate.

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Context and NLP

Hung

2014

Context in Computing

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POMDP concept policies and task structures for hybrid dialog management

Cited by 5 publications

References 5 publications

Towards healthcare personal agents

Towards healthcare personal agents

Affective-cognitive dialogue act detection in an error-aware spoken dialogue system

Context and NLP

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