Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements
Abstract Individual traits and reactions to ambiguity differ and are conceptualized in terms of an individual’s attitudes toward ambiguity or ambiguity tolerance. The development of natural language processing technology has made it possible to measure mental states and reactions through open-ended...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-59118-z |
| _version_ | 1797209386341367808 |
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| author | Jimpei Hitsuwari Hirohito Okano Michio Nomura |
| author_facet | Jimpei Hitsuwari Hirohito Okano Michio Nomura |
| author_sort | Jimpei Hitsuwari |
| collection | DOAJ |
| description | Abstract Individual traits and reactions to ambiguity differ and are conceptualized in terms of an individual’s attitudes toward ambiguity or ambiguity tolerance. The development of natural language processing technology has made it possible to measure mental states and reactions through open-ended questions, rather than predefined numerical rating scales, which have traditionally been the dominant method in psychological research. This study presented three ambiguity-related situations and responses collected online from 591 participants in an open-ended format. After the analysis with bidirectional encoder representations from transformers, correlations were calculated using scores from the numerical evaluation by conventional questionnaire, and a significant moderate positive correlation was found. Therefore, this study found that attitudes toward ambiguity can be measured using an open-ended response method of reporting everyday life states. It is a novel methodology that can be expanded to other scales in psychology and can potentially be used in educational and clinical situations where participants can be asked to respond with minimal burden. |
| first_indexed | 2024-04-24T09:53:52Z |
| format | Article |
| id | doaj.art-038a734054844c97b859472ef7a97dd9 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T09:53:52Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-038a734054844c97b859472ef7a97dd92024-04-14T11:13:23ZengNature PortfolioScientific Reports2045-23222024-04-011411410.1038/s41598-024-59118-zPredicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurementsJimpei Hitsuwari0Hirohito Okano1Michio Nomura2Graduate School of Education, Kyoto UniversityGraduate School of Education, Kyoto UniversityGraduate School of Education, Kyoto UniversityAbstract Individual traits and reactions to ambiguity differ and are conceptualized in terms of an individual’s attitudes toward ambiguity or ambiguity tolerance. The development of natural language processing technology has made it possible to measure mental states and reactions through open-ended questions, rather than predefined numerical rating scales, which have traditionally been the dominant method in psychological research. This study presented three ambiguity-related situations and responses collected online from 591 participants in an open-ended format. After the analysis with bidirectional encoder representations from transformers, correlations were calculated using scores from the numerical evaluation by conventional questionnaire, and a significant moderate positive correlation was found. Therefore, this study found that attitudes toward ambiguity can be measured using an open-ended response method of reporting everyday life states. It is a novel methodology that can be expanded to other scales in psychology and can potentially be used in educational and clinical situations where participants can be asked to respond with minimal burden.https://doi.org/10.1038/s41598-024-59118-z |
| spellingShingle | Jimpei Hitsuwari Hirohito Okano Michio Nomura Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements Scientific Reports |
| title | Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements |
| title_full | Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements |
| title_fullStr | Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements |
| title_full_unstemmed | Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements |
| title_short | Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements |
| title_sort | predicting attitudes toward ambiguity using natural language processing on free descriptions for open ended question measurements |
| url | https://doi.org/10.1038/s41598-024-59118-z |
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