Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool
Emotion measurement is crucial to conducting emotion research. Numerous studies have extensively employed textual scales for psychological and organizational behavior research. However, emotions are transient states of organisms with relatively short duration, some insurmountable limitations of text...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1078691/full |
| _version_ | 1797951378917687296 |
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| author | Ping Liu Ya’nan Wang Jiang’ning Hu Lin’bo Qing Ke Zhao |
| author_facet | Ping Liu Ya’nan Wang Jiang’ning Hu Lin’bo Qing Ke Zhao |
| author_sort | Ping Liu |
| collection | DOAJ |
| description | Emotion measurement is crucial to conducting emotion research. Numerous studies have extensively employed textual scales for psychological and organizational behavior research. However, emotions are transient states of organisms with relatively short duration, some insurmountable limitations of textual scales have been reported, including low reliability for single measurement or susceptibility to learning effects for multiple repeated use. In the present article, we introduce the Highly Dynamic and Reusable Picture-based Scale (HDRPS), which was randomly generated based on 3,386 realistic, high-quality photographs that are divided into five categories (people, animals, plants, objects, and scenes). Affective ratings of the photographs were gathered from 14 experts and 209 professional judges. The HDRPS was validated using the Self-Assessment Manikin and the PANAS by 751 participants. With an accuracy of 89.73%, this new tool allows researchers to measure individual emotions continuously for their research. The non-commercial use of the HDRPS system can be freely accessible by request at http://syy.imagesoft.cc:8989/Pictures.7z. HDRPS is used for non-commercial academic research only. As some of the images are collected through the open network, it is difficult to trace the source, so please contact the author if there are any copyright issues. |
| first_indexed | 2024-04-10T22:29:40Z |
| format | Article |
| id | doaj.art-6a01754ea250474ea3f4941e16fd6b55 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-10T22:29:40Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-6a01754ea250474ea3f4941e16fd6b552023-01-17T06:25:30ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-01-011310.3389/fpsyg.2022.10786911078691Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement toolPing Liu0Ya’nan Wang1Jiang’ning Hu2Lin’bo Qing3Ke Zhao4Business School, Sichuan University, Chengdu, ChinaBusiness School, Sichuan University, Chengdu, ChinaBusiness School, Sichuan University, Chengdu, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu, ChinaEmotion measurement is crucial to conducting emotion research. Numerous studies have extensively employed textual scales for psychological and organizational behavior research. However, emotions are transient states of organisms with relatively short duration, some insurmountable limitations of textual scales have been reported, including low reliability for single measurement or susceptibility to learning effects for multiple repeated use. In the present article, we introduce the Highly Dynamic and Reusable Picture-based Scale (HDRPS), which was randomly generated based on 3,386 realistic, high-quality photographs that are divided into five categories (people, animals, plants, objects, and scenes). Affective ratings of the photographs were gathered from 14 experts and 209 professional judges. The HDRPS was validated using the Self-Assessment Manikin and the PANAS by 751 participants. With an accuracy of 89.73%, this new tool allows researchers to measure individual emotions continuously for their research. The non-commercial use of the HDRPS system can be freely accessible by request at http://syy.imagesoft.cc:8989/Pictures.7z. HDRPS is used for non-commercial academic research only. As some of the images are collected through the open network, it is difficult to trace the source, so please contact the author if there are any copyright issues.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1078691/fullaffective ratingsauthentic emotionsverbal scaleshighly dynamicmultiple repeated measurepicture-based scale |
| spellingShingle | Ping Liu Ya’nan Wang Jiang’ning Hu Lin’bo Qing Ke Zhao Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool Frontiers in Psychology affective ratings authentic emotions verbal scales highly dynamic multiple repeated measure picture-based scale |
| title | Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool |
| title_full | Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool |
| title_fullStr | Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool |
| title_full_unstemmed | Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool |
| title_short | Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement tool |
| title_sort | development and validation of a highly dynamic and reusable picture based scale a new affective measurement tool |
| topic | affective ratings authentic emotions verbal scales highly dynamic multiple repeated measure picture-based scale |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1078691/full |
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