AI-determined similarity increases likability and trustworthiness of human voices.
Modern artificial intelligence (AI) technology is capable of generating human sounding voices that could be used to deceive recipients in various contexts (e.g., deep fakes). Given the increasing accessibility of this technology and its potential societal implications, the present study conducted on...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318890 |
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| author | Oliver Jaggy Stephan Schwan Hauke S Meyerhoff |
| author_facet | Oliver Jaggy Stephan Schwan Hauke S Meyerhoff |
| author_sort | Oliver Jaggy |
| collection | DOAJ |
| description | Modern artificial intelligence (AI) technology is capable of generating human sounding voices that could be used to deceive recipients in various contexts (e.g., deep fakes). Given the increasing accessibility of this technology and its potential societal implications, the present study conducted online experiments using original data to investigate the validity of AI-based voice similarity measures and their impact on trustworthiness and likability. Correlation analyses revealed that voiceprints - numerical representations of voices derived from a speaker verification system - can be used to approximate human (dis)similarity ratings. With regard to cognitive evaluations, we observed that voices similar to one's own voice increased trustworthiness and likability, whereas average voices did not elicit such effects. These findings suggest a preference for self-similar voices and underscore the risks associated with the misuse of AI in generating persuasive artificial voices from brief voice samples. |
| format | Article |
| id | doaj-art-a1ed2afae9a543f1a787632bb9a7d5c3 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-a1ed2afae9a543f1a787632bb9a7d5c32025-08-20T01:51:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01203e031889010.1371/journal.pone.0318890AI-determined similarity increases likability and trustworthiness of human voices.Oliver JaggyStephan SchwanHauke S MeyerhoffModern artificial intelligence (AI) technology is capable of generating human sounding voices that could be used to deceive recipients in various contexts (e.g., deep fakes). Given the increasing accessibility of this technology and its potential societal implications, the present study conducted online experiments using original data to investigate the validity of AI-based voice similarity measures and their impact on trustworthiness and likability. Correlation analyses revealed that voiceprints - numerical representations of voices derived from a speaker verification system - can be used to approximate human (dis)similarity ratings. With regard to cognitive evaluations, we observed that voices similar to one's own voice increased trustworthiness and likability, whereas average voices did not elicit such effects. These findings suggest a preference for self-similar voices and underscore the risks associated with the misuse of AI in generating persuasive artificial voices from brief voice samples.https://doi.org/10.1371/journal.pone.0318890 |
| spellingShingle | Oliver Jaggy Stephan Schwan Hauke S Meyerhoff AI-determined similarity increases likability and trustworthiness of human voices. PLoS ONE |
| title | AI-determined similarity increases likability and trustworthiness of human voices. |
| title_full | AI-determined similarity increases likability and trustworthiness of human voices. |
| title_fullStr | AI-determined similarity increases likability and trustworthiness of human voices. |
| title_full_unstemmed | AI-determined similarity increases likability and trustworthiness of human voices. |
| title_short | AI-determined similarity increases likability and trustworthiness of human voices. |
| title_sort | ai determined similarity increases likability and trustworthiness of human voices |
| url | https://doi.org/10.1371/journal.pone.0318890 |
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