Artificial intelligence for human-computer interaction
In recent years, conversational agents have promised new opportunities to shape human-computer interactions. These dialogue systems are a form of artificial intelligence (AI) that accepts a human utterance as input and responds with an appropriate computed answer as the output. The successful implem...
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2022
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sg-ntu-dr.10356-1566702022-04-22T05:08:42Z Artificial intelligence for human-computer interaction Low, Shi Min Erik Cambria School of Computer Science and Engineering cambria@ntu.edu.sg Engineering::Computer science and engineering In recent years, conversational agents have promised new opportunities to shape human-computer interactions. These dialogue systems are a form of artificial intelligence (AI) that accepts a human utterance as input and responds with an appropriate computed answer as the output. The successful implementation of such dialogue systems may potentially reduce human resources and increase operational efficiency. Therefore, human-computer dialogue systems have gained enormous interest in the service sector as more services are choosing to integrate them into their systems. To provide better human-computer interaction, the current implementation of dialogue systems should shift away from generic and robot-like responses. Therefore, this study aims to improve the current implementation and explore the usage of emojis in dialogue systems to further enhance human-computer interaction. In addition to the popular Generative Pre-trained Transformer 3 (GPT-3) model, the approach taken in this study further fine-tunes this model to obtain more desirable responses. This is followed by the generation of emojis in a dialogue system’s response to amplify a more human-like response. Lastly, this is combined to create a dialogue system capable of performing dialogues that mimics a human. Overall, this study has shown promising results to enhance human-computer interaction. Bachelor of Engineering (Computer Science) 2022-04-22T05:08:42Z 2022-04-22T05:08:42Z 2022 Final Year Project (FYP) Low, S. M. (2022). Artificial intelligence for human-computer interaction. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156670 https://hdl.handle.net/10356/156670 en SCSE21-0229 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Low, Shi Min Artificial intelligence for human-computer interaction |
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In recent years, conversational agents have promised new opportunities to shape human-computer interactions. These dialogue systems are a form of artificial intelligence (AI) that accepts a human utterance as input and responds with an appropriate computed answer as the output. The successful implementation of such dialogue systems may potentially reduce human resources and increase operational efficiency. Therefore, human-computer dialogue systems have gained enormous interest in the service sector as more services are choosing to integrate them into their systems. To provide better human-computer interaction, the current implementation of dialogue systems should shift away from generic and robot-like responses.
Therefore, this study aims to improve the current implementation and explore the usage of emojis in dialogue systems to further enhance human-computer interaction. In addition to the popular Generative Pre-trained Transformer 3 (GPT-3) model, the approach taken in this study further fine-tunes this model to obtain more desirable responses. This is followed by the generation of emojis in a dialogue system’s response to amplify a more human-like response. Lastly, this is combined to create a dialogue system capable of performing dialogues that mimics a human. Overall, this study has shown promising results to enhance human-computer interaction. |
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Erik Cambria |
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Erik Cambria Low, Shi Min |
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Final Year Project |
author |
Low, Shi Min |
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Low, Shi Min |
title |
Artificial intelligence for human-computer interaction |
title_short |
Artificial intelligence for human-computer interaction |
title_full |
Artificial intelligence for human-computer interaction |
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Artificial intelligence for human-computer interaction |
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Artificial intelligence for human-computer interaction |
title_sort |
artificial intelligence for human-computer interaction |
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Nanyang Technological University |
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2022 |
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https://hdl.handle.net/10356/156670 |
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1731235726114160640 |