Challenges for adaptive dialogue management in the KRISTINA project

Pragst, Louisa; Miehle, Juliana; Minker, Wolfgang; Ultes, Stefan

doi:10.1145/3139491.3139508

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Furthermore, the DM is capable of handling various interactive events like pauses and hesitations. These ontology-based dialogue-management methods will be part of an extended version of the framework, relevant to how they were implemented in the H2020 KRISTINA [45] research project. The adaptations are related to the requirements that emerged from the REA specifications in order to develop an agent that combines task-oriented and non-task-oriented solutions and is able to address domain-specific (e.g., health care) and social capabilities accordingly.…”

Section: Decision Makingmentioning

confidence: 99%

A Context-Aware Conversational Agent in the Rehabilitation Domain

et al. 2019

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Conversational agents are reshaping our communication environment and have the potential to inform and persuade in new and effective ways. In this paper, we present the underlying technologies and the theoretical background behind a health-care platform dedicated to supporting medical stuff and individuals with movement disabilities and to providing advanced monitoring functionalities in hospital and home surroundings. The framework implements an intelligent combination of two research areas: (1) sensor- and camera-based monitoring to collect, analyse, and interpret people behaviour and (2) natural machine–human interaction through an apprehensive virtual assistant benefiting ailing patients. In addition, the framework serves as an important assistant to caregivers and clinical experts to obtain information about the patients in an intuitive manner. The proposed approach capitalises on latest breakthroughs in computer vision, sensor management, speech recognition, natural language processing, knowledge representation, dialogue management, semantic reasoning, and speech synthesis, combining medical expertise and patient history.

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Section: Decision Makingmentioning

confidence: 99%

A Context-Aware Conversational Agent in the Rehabilitation Domain

et al. 2019

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“…In addition, it allows the management of interactive phenomena such as hesitations and pauses. Dialogue management techniques will be based on the existing infrastructure developed in the H2020 KRISTINA [24] project and will be extended to meet the specific requirements of a personalized dialogue management system with domain-specific and social competencies.…”

Section: Decision Makingmentioning

confidence: 99%

A smart dialogue-competent monitoring framework supporting people in rehabilitation

Mavropoulos

Meditskos

Kamateri

et al. 2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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In this paper, we present work in progress on the development of a smart monitoring framework to support people with motor disabilities and their caregivers in clinical and non-clinical rehabilitation and care environments. The innovation of the platforms lies in the combination of smart monitoring solutions, such as activity recognition and lifestyle tracking, with an intelligent virtual agent that aims to empower and motivate people in need through personalized feedback and responses, as well as to assist caregivers and clinicians to easily collect information about the patients. The proposed system exploits and combines state-ofthe-art technologies in speech recognition and synthesis, knowledge representation and reasoning, dialogue management and sensor data analysis, infusing clinical knowledge and patient history. Aiming for a practical, acceptable solution, the proposed system takes into account aspects of integration, security and privacy.

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“…The importance and influence of laughter and smiles in an avatar setup are discussed in the context of an intelligent expression of emotions scheme [5]. Likewise, cultural adaptation of an information retrieval platform to relieve difficulties of migrants in accessing health information is a good illustration of an endeavor to develop new socially-inspired systems in complex domains [6]. Finally, online training of interactive systems should improve their adaptation process and favor their use in human science experimental protocols to study human social interactions in light of observations from human-computer interactions with socially-able artificial agents [7].…”

Section: A Global Objective Four Disciplinesmentioning

confidence: 99%

ISIAA 2017: 1st international workshop on investigating social interactions with artificial agents (workshop summary)

Chaminade

Lefèvre

Nguyen

et al. 2017

Proceedings of the 19th ACM International Conference on Multimodal Interaction

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To cite this version:Thierry Chaminade, Fabrice Lefèvre, Magalie Ochs.ISIAA 2017: 1st international workshop on investigating social interactions with artificial agents (workshop summary The workshop "Investigating Social Interactions With Artificial Agents" organized within the "International Conference on Multimodal Interactions 2017" attempts to bring together researchers from different fields sharing a similar interest in human interactions with other agents. If interdisciplinarity is necessary to address the question of the "Turing Test", namely "can an artificial conversational artificial agent be perceived as human", it is also a very promising new way to investigate social interactions in the first place. Biology is represented by social cognitive neuroscience, aiming to describe the physiology of human social behaviors. Linguistics, from humanities, attempts to characterize a specifically human behavior and language. Social Signal Processing is a recent approach to analyze automatically, using advanced Information Technologies, the behaviors pertaining to natural human interactions. Finally, from Artificial Intelligence, the development of artificial agents, conversational and/or embodied, onscreen or physically attempts to recreate nonhuman socially interactive agents for a multitude of applications.

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Challenges for adaptive dialogue management in the KRISTINA project

Cited by 4 publications

References 12 publications

A Context-Aware Conversational Agent in the Rehabilitation Domain

A Context-Aware Conversational Agent in the Rehabilitation Domain

A smart dialogue-competent monitoring framework supporting people in rehabilitation

ISIAA 2017: 1st international workshop on investigating social interactions with artificial agents (workshop summary)

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