A mapping mechanism of NL sentences onto an SPN state machine for understanding purposes

Psarologou, Adamantia; Bourbakis, Nikolaos G.; Virvou, Maria

doi:10.1109/iisa.2014.6878780

Cited by 3 publications

(1 citation statement)

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“…NLP is a branch of AI that enables machines to understand and interpret human language to create a more natural and intuitive interaction. For example, [58] describes a mapping mechanism of natural language sentences onto an SPN state machine for understanding purposes. In another example, [59] describes a procedure of modelling natural language sentences into SPN Graphs, while [60] describes a Natural Language Understanding -based method for a first level automatic categorisation of AI-based security documents.…”

Section: Artificial Intelligence and User Modelling In Service Of Use...mentioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

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Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques to automate sophisticated functions in UX and thereby changing what UX is apprehended by the users. This is achieved through the development of intelligent interactive systems such as virtual assistants, recommender systems, and intelligent tutoring systems. The changes are well received, as technological achievements but create new challenges of trust, explainability and usability to humans, which in turn need to be amended by further advancements of AI in reciprocity. AI can be utilised to enhance the UX of a system while the quality of the UX can influence the effectiveness of AI. The state of the art in AI for UX is constantly evolving, with a growing focus on designing transparent, explainable, and fair AI systems that prioritise user control and autonomy, protect user data privacy and security, and promote diversity and inclusivity in the design process. Staying up to date with the latest advancements and best practices in this field is crucial. This paper conducts a critical analysis of published academic works and research studies related to AI and UX, exploring their interrelationship and the cause-effect cycle between the two. Ultimately, best practices for achieving a successful interrelationship of AI in UX are identified and listed based on established methods or techniques that have been proven to be effective in previous research reviewed.

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Section: Artificial Intelligence and User Modelling In Service Of Use...mentioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

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A Synthesis of Stochastic Petri Net (SPN) Graphs for Natural Language Understanding (NLU) Event/Action Association

Psarologou

Esposito

Bourbakis³

2015

2015 IEEE 27th International Conference on Tools With Artificial Intelligence (ICTAI)

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The Emerging Era of Human-AI Interaction: Keynote Address

Virvou

2022

2022 13th International Conference on Information, Intelligence, Systems &Amp; Applications (IISA)

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A mapping mechanism of NL sentences onto an SPN state machine for understanding purposes

Cited by 3 publications

References 1 publication

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

A Synthesis of Stochastic Petri Net (SPN) Graphs for Natural Language Understanding (NLU) Event/Action Association

The Emerging Era of Human-AI Interaction: Keynote Address

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