Interactive Educational Games for Autistic Children with Agent-Based System

Sehaba, Karim; Estraillier, Pascal; Lambert, Didier

doi:10.1007/11558651_41

Cited by 26 publications

(13 citation statements)

References 7 publications

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“…Furthermore, computer games applied to autistic children must be sufficiently flexible to be adapted to the requirements of each child and integrate the personal data of its own world attached to its beliefs (Sehaba et al 2005). Rehabilitation based on related technology research and development of computer game provides the special groups a standardized, predictable and controllable environment.…”

Section: New Technologies On Rehabilitationmentioning

confidence: 99%

Assessing the Effect of Game System for Rehabilitation on Rehabilitation of Autism and Cerebral Palsy

Chen

Zhu

et al. 2015

MATEC Web of Conferences

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Section: New Technologies On Rehabilitationmentioning

confidence: 99%

Assessing the Effect of Game System for Rehabilitation on Rehabilitation of Autism and Cerebral Palsy

Chen

Zhu

et al. 2015

MATEC Web of Conferences

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“…We chose the approach of a multi-agent system of Sehaba et al (2005) as a starting point to build our model. The advantage of this approach is that each agent can be organized and work autonomously and strategically.…”

Section: Proposed Agent-based Architecturementioning

confidence: 99%

A situation-based multi-agent architecture for handling misunderstandings in interactions

Pham

Rabah

Estraillier

2015

International Journal of Applied Mathematics and Computer Science

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During interactions, system actors may face up misunderstandings when their local states contain inconsistent data about the same fact. Misunderstandings in interactions are likely to reduce interactivity performances (deviation or deadlock) or even affect overall system behavior. In this paper, we characterize misunderstandings in interactions between system actors (that may be human users or system agents) in interactive adaptive systems. To deal with such misunderstandings and ensure state consistency, we present an agent-based architecture and a scenario structuring approach. The system includes several agents devoted to scenario unfolding, plot adaptation and consistency management. Scenario structuring is based on the notion of a situation that is an elementary building block dividing the interactions between systems' actors into contextual scenes. This pattern supports not only scenario execution but consistency management as well. In order to organize and control interactions, the situation contextualizes interactions and activity of the system's actors. It also includes prevention and tolerance agent-based mechanisms to deal with the misunderstandings and their causes. We validate our consistency management mechanisms using Uppaal simulation and provide some experimental results to show the effectiveness of our approach on an online distance learning case study.

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“…Thus, more sophisticated methods of computer automated assessment are required. Sehaba et al (2005) developed a system for use with lower functioning children with autism, to assist them to develop their motor skills and spatial and temporal understanding. The system continually collects information about user interactions with the system, including keyboard input, mouse actions and camera feed, and uses this to understand the child's behaviour and respond to it in real time.…”

Section: Computer Automated Assessmentmentioning

confidence: 99%

“…System behaviours are determined using case-based reasoning, where past solutions and behaviours are applied to current ones. Preliminary evaluation of the system is said to be promising (Sehaba et al, 2005). Gao and Xu (2007) also developed a model for assessing student needs and delivering applicable content based on Herbert A. Simon's classic decision-making process model.…”

Section: Computer Automated Assessmentmentioning

confidence: 99%