Title: | Influencing an artificial conversational entity by information fusion |
Authors: | Salamon, Jaromír |
Issue Date: | 2020 |
Publisher: | University of West Bohemia in Pilsen |
Document type: | zpráva report |
URI: | http://www.kiv.zcu.cz/cz/vyzkum/publikace/technicke-zpravy/ http://hdl.handle.net/11025/42666 |
Keywords: | umělá konverzační entita;dialogový systém;analýza dat |
Keywords in different language: | artificial conversational entity;dialogue system;data analysis |
Abstract in different language: | The dissertation thesis proposes a new method of using an artificial conversationalenti(later also dialogue system or chatbot) influenced by information or informationfusion. This new method could potentially serve various purposes of use like fitnessand well-being support, mental health support, mental illness treatment, and a like.To propose such a new method, one has to investigate two main topics. Whether itis possible to influence the dialogue system by information (fusion) and what kindof data needs to be collected and prepared for such influence.The dialogue system uses textual data from conversation to determine the contextof human interaction and decide about next response. It presents correct behaviorwithout external influence with data, but with the influence, the dialogue systemneeds to react without hiccups in the conversation adequately.The data which could be used for the dialogue system influencing can be a combina-tion of qualitative measure (from text extracted sentiment, from voice determinedtone, from face revealed emotion), and measured quantitative values (wearable mea-sured heartbeat, on-camera correctly performed exercise, based on EEG found focuson activity).All the research found in the relation of those two topics is described in next morethan 200 pages. It is supported with more than 500 references from former ones upto the most recent, including elementary solutions up to state of the art. |
Rights: | © University of West Bohemia in Pilsen |
Appears in Collections: | Zprávy / Reports (KIV) |
Files in This Item:
File | Description | Size | Format | |
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Rigo_Salamon_2020_04.pdf | Plný text | 4,65 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/42666
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