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Emotion, Cultural Valuation of Being Human and AI Services
IEEE Transactions on Engineering Management, Pages: 1 - 13
Swansea University Author: Annie Tubadji
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DOI (Published version): 10.1109/tem.2023.3246930
Abstract
This study alerts that successful AI services depend not only on the improvement of the ability of AI to understand customers’ emotions, but also on whether the utility function of the customer allows for the perfect substation between an AI- and a human-delivered service. We argue that the utility...
Published in: | IEEE Transactions on Engineering Management |
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ISSN: | 0018-9391 1558-0040 |
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Institute of Electrical and Electronics Engineers (IEEE)
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62604 |
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v2 62604 2023-02-08 Emotion, Cultural Valuation of Being Human and AI Services f17b08e9124965486f3b5885a87b396d 0000-0002-6134-3520 Annie Tubadji Annie Tubadji true false 2023-02-08 ECON This study alerts that successful AI services depend not only on the improvement of the ability of AI to understand customers’ emotions, but also on whether the utility function of the customer allows for the perfect substation between an AI- and a human-delivered service. We argue that the utility function of customers includes the subjective valuation of being human, which AI services cannot meet by nature. A Culture Based Development (CBD) model for the transformation of emotions into feelings and order of preferences is offered to explain the cultural valuation of being human as a component of customers’ utility function. Using primary data from an experimental survey and employing two alternative machine learning algorithms (Lasso and Random Forest), we operationalize our CBD model to show that the estimation efficiency of the AI algorithms cannot compensate for the omission of the cultural valuation of being human from the modelling of the utility function of the customer. Journal Article IEEE Transactions on Engineering Management 1 13 Institute of Electrical and Electronics Engineers (IEEE) 0018-9391 1558-0040 culture, emotion, feelings, perception, preferences, creative services 8 3 2023 2023-03-08 10.1109/tem.2023.3246930 http://dx.doi.org/10.1109/tem.2023.3246930 COLLEGE NANME Economics COLLEGE CODE ECON Swansea University 2023-08-30T11:53:18.4797398 2023-02-08T06:26:22.4860464 Faculty of Humanities and Social Sciences School of Social Sciences - Economics Annie Tubadji 0000-0002-6134-3520 1 Haoran Huang 2 62604__27675__866cf72c620648daa3c6aa208ec9b1fe.pdf 62604.pdf 2023-06-01T15:58:30.8786405 Output 957101 application/pdf Accepted Manuscript true true eng |
title |
Emotion, Cultural Valuation of Being Human and AI Services |
spellingShingle |
Emotion, Cultural Valuation of Being Human and AI Services Annie Tubadji |
title_short |
Emotion, Cultural Valuation of Being Human and AI Services |
title_full |
Emotion, Cultural Valuation of Being Human and AI Services |
title_fullStr |
Emotion, Cultural Valuation of Being Human and AI Services |
title_full_unstemmed |
Emotion, Cultural Valuation of Being Human and AI Services |
title_sort |
Emotion, Cultural Valuation of Being Human and AI Services |
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f17b08e9124965486f3b5885a87b396d |
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f17b08e9124965486f3b5885a87b396d_***_Annie Tubadji |
author |
Annie Tubadji |
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Annie Tubadji Haoran Huang |
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Journal article |
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IEEE Transactions on Engineering Management |
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publishDate |
2023 |
institution |
Swansea University |
issn |
0018-9391 1558-0040 |
doi_str_mv |
10.1109/tem.2023.3246930 |
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Institute of Electrical and Electronics Engineers (IEEE) |
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Faculty of Humanities and Social Sciences |
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School of Social Sciences - Economics{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Economics |
url |
http://dx.doi.org/10.1109/tem.2023.3246930 |
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description |
This study alerts that successful AI services depend not only on the improvement of the ability of AI to understand customers’ emotions, but also on whether the utility function of the customer allows for the perfect substation between an AI- and a human-delivered service. We argue that the utility function of customers includes the subjective valuation of being human, which AI services cannot meet by nature. A Culture Based Development (CBD) model for the transformation of emotions into feelings and order of preferences is offered to explain the cultural valuation of being human as a component of customers’ utility function. Using primary data from an experimental survey and employing two alternative machine learning algorithms (Lasso and Random Forest), we operationalize our CBD model to show that the estimation efficiency of the AI algorithms cannot compensate for the omission of the cultural valuation of being human from the modelling of the utility function of the customer. |
published_date |
2023-03-08T11:53:19Z |
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1775651048010022912 |
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11.037603 |