A Virtual Human Agent Model with Behaviour Based on Feeling Exhaustion

Treur, Jan

doi:10.1007/978-3-642-02568-6_2

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…EXðtÞ ¼ at where a ¼ cðE À CPÞ This linear dynamics of exhaustion is supported by evidences from Treur (2011).…”

Section: Related Workmentioning

confidence: 53%

“…As an example of such a case, consider a simplified description of the cognitive dynamics of a human performing a task (based on the ideas from Bosse et al 2008a andTreur 2011), involving a cognitive state of being exhausted to a certain extent. The human is provided with a demand curve D(t) over time to be met (e.g., a task of some complexity).…”

Section: Related Workmentioning

confidence: 99%

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An ambient agent architecture exploiting automated cognitive analysis

Sharpanskykh

Treur

2011

J Ambient Intell Human Comput

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In this paper an agent-based ambient agent architecture is presented based on monitoring human's interaction with his or her environment and performing cognitive analysis of the causes of observed or predicted behaviour. Within this agent architecture, a cognitive model for the human is taken as a point of departure. From the cognitive model it is automatically derived how internal cognitive states affect human's performance aspects. Furthermore, for these cognitive states representation relations are derived from the cognitive model, expressed by temporal specifications involving events that will be monitored. The representation relations are verified on the monitoring information automatically, resulting in the identification of cognitive states, which affect the performance aspects. In such a way the ambient agent model is able to provide a more in depth cognitive analysis of causes of (un)satisfactory performance and based on this analysis to generate interventions in a knowledgeable manner. The application of the architecture proposed is demonstrated by two examples from the ambient-assisted living domain and the computer-assisted instruction domain.

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“…EXðtÞ ¼ at where a ¼ cðE À CPÞ This linear dynamics of exhaustion is supported by evidences from Treur (2011).…”

Section: Related Workmentioning

confidence: 53%

Section: Related Workmentioning

confidence: 99%

An ambient agent architecture exploiting automated cognitive analysis

Sharpanskykh

Treur

2011

J Ambient Intell Human Comput

Self Cite

View full text Add to dashboard Cite

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“…These new technologies create a network of communication channels and heterogeneous systems that help individuals in a variety of situations, such as detecting the needs of health professionals and patients [115,141], healthcare interdisciplinary design [12,93], gamificatio and virtual environments [13,17,99], physical activity and behavior evaluation [107,126,149], therapy and rehabilitation [143,166], supporting the elderly [82,91], monitoring sleep and affect [38,147], gait and exercise evaluation [39,126], in-home monitoring and mobile healthcare [12,71,76,146,162], supporting medical decision [101], or psych-physiological sensing [4,92].…”

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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An Integrative Agent Model for Adaptive Human-Aware Presentation of Information during Demanding Tasks

Mee¹,

Mogles²,

Treur³

2009

Active Media Technology

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Abstract. This paper presents an integrative agent model for adaptive human-aware information presentation. Within the agent model, meant to support humans in demanding tasks, a domain model is integrated which consists of a dynamical model for human functioning, and a model determining the effects of information presentation. The integrative agent model applies modelbased reasoning methods to the domain model to analyse the state of the human and to determine how to adapt the presentation of information to this state.

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A Virtual Human Agent Model with Behaviour Based on Feeling Exhaustion

Cited by 3 publications

References 13 publications

An ambient agent architecture exploiting automated cognitive analysis

An ambient agent architecture exploiting automated cognitive analysis

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

An Integrative Agent Model for Adaptive Human-Aware Presentation of Information during Demanding Tasks

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