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This paper presents a novel Arabic Conversational Intelligent Tutoring System (CITS) that adapts the learning styles VAK for autistic children to enhance their learning. The proposed CITS architecture uses a combination of Arabic Pattern Matching and Arabic Short Text Similarity to extract the responses from the resources. The new Arabic CITS, known as LANA, is aimed at children with autism (10 to...
Measuring the similarity between strings plays an increasingly important role in many applications such as information retrieval, short answer grading, and conversational agent software. There has been much recent research interest in applying string similarity within Arabic language applications; however, the use of string similarity in Arabic poses a substantial challenge such as the complexity...
Conversational Intelligent Tutoring Systems (CITS) that automatically adapt to learning styles (LS) can improve learning, however current modelling of LS has ignored Neutral learners. This paper presents research examining the ability of data mining algorithms to predict LS dimensions from behaviour captured during natural language tutorials with Oscar CITS. Two datasets, 2ClassBDS, 3ClassBDS, were...
This paper presents the application of FATHOM, a computerised non-verbal comprehension detection system, to distinguish participant comprehension levels in an interactive tutorial. FATHOM detects high and low levels of human comprehension by concurrently tracking multiple non-verbal behaviours using artificial neural networks. Presently, human comprehension is predominantly monitored from written...
This paper presents a novel sentence similarity algorithm designed to mitigate the issue of free word order in the Urdu language. Free word order in a language poses many challenges when implemented in a conversational agent, primarily due to the fact that it increases the amount of scripting time needed to script the domain knowledge. A language with free word order like Urdu means a single phrase/utterance...
Natural language dialogue is an important component of interaction between ordinary users and complex computer applications. Short Text Semantic Similarity algorithms have been developed to improve the efficiency of producing sophisticated dialogue systems. Such algorithms are currently unable to discriminate between different dialogue acts (assertions, questions, instructions etc.), requiring the...
Natural language dialogue is an important component of interaction between ordinary users and complex computer applications. Short Text Semantic Similarity algorithms have been developed to improve the efficiency of producing sophisticated dialogue systems. Such algorithms are currently unable to discriminate between different dialogue acts (assertions, questions, instructions etc.), requiring the...
This paper presents a case study on the development and deployment of a computerised, non-invasive psychological profiling system which detects human comprehension through the monitoring of multiple channels of facial nonverbal behaviour using Artificial Neural Networks (ANN). Prior work on an earlier system known as Silent Talker, led to collaborations and a funded project with Family Health International...
This paper presents the adaptation and application of Silent Talker, a psychological profiling system in the measurement of human comprehension through the monitoring of multiple channels of facial nonverbal behaviour using Artificial Neural Networks (ANN). Everyday human interactions are abundant with almost unconscious nonverbal behaviours, providing a potentially rich source of information once...
This paper presents the development and commercialisation of a computerised, non-invasive psychological profiling system (named `Silent Talker'), for the analysis of nonverbal behaviour. Nonverbal signals hold rich information about mental, behavioural and/or physical states the detection of which would be beneficial in a wide variety of commercial domains, particularly deception detection and security...
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