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Conversation agent leveraging VTS for opinion forming during an art exhibition

Stanchev, D.S. (2024) Conversation agent leveraging VTS for opinion forming during an art exhibition.

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Abstract:This paper combines two fields of study: conversational artificial intelligence and visual processing techniques. Chatbots are software that uses natural language understanding put in context to converse with users. Visual Thinking Strategies (VTS) describes a methodology intended to improve discussion and observation skills in novice art observers. This paper aims to develop a conversation agent leveraging Large-Language Models (LLMs) and VTS to gather insightful knowledge about user interpretation of an artwork while retaining optimal satisfaction. This work extends pre existing research of audio commentary analysis during art viewing and adds to the existing body of knowledge regarding VTS, communicative AI, and art appreciation techniques.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/100772
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