View in EDS PDF Full Text

Emotional Valence and Arousal: The Impact of AI-Generated Image Stimuli on Design Creativity

Saved in:
Bibliographic Details
Title: Emotional Valence and Arousal: The Impact of AI-Generated Image Stimuli on Design Creativity
Language: English
Authors: Guanhua Hou, Xinlei Wang
Source: International Journal of Technology and Design Education. 2025 35(3):1103-1122.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 20
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Design, Computer Graphics, Creativity, Emotional Response, Students, Influence of Technology, Technology Uses in Education, Arousal Patterns
DOI: 10.1007/s10798-024-09941-2
ISSN: 0957-7572
1573-1804
Abstract: The AI-generated inspirational images provided a new pathway for design learners to obtain inspiration, but previous research had overlooked the impact of the emotional valence and arousal of AI-generated images on design creativity. This study investigated the effects of emotional valence and arousal of AI-generated images on design creativity through two experiments. Experiment 1 examined the impact of emotional valence (positive, neutral, negative) of AI-generated images on design creativity, while Experiment 2 further analyzed the impact of arousal levels (high, low) of AI-generated images and design problem types (conceptual design problems, knowledge design problems) on design creativity under positive emotional conditions. The results showed that AI-generated images with positive emotional valence facilitated divergent thinking and enhanced the flexibility and originality of creative ideas. In knowledge design problems, AI-generated images with positive emotional valence and high arousal levels enhanced the originality of creative ideas. However, in conceptual design problems, the arousal levels of AI-generated images with positive emotional valence had no significant impact on design creativity. These findings provided insights into how design learners could utilize AI assistance in design.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1485428
Database: ERIC
FullText Links:
  – Type: pdflink
    Url: https://content.ebscohost.com/cds/retrieve?content=AQICAHj0k_4E0hTGH8RJwT4gCJyBsGNe_WN95AvKlDbXJGqwxwG_vqqWjJPBvZh0obfix3-7AAAA4zCB4AYJKoZIhvcNAQcGoIHSMIHPAgEAMIHJBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDDYVS1pDbd001J2dOAIBEICBm5rqIIAIhf5HORZa9HO0Q7h6VxsiQ4mShRF_ZQqJkB9iJzQUGaV_X_IcmY4YZ1dQunT13xkI5AR3udzeMUwrrLk8I0FzKgv5U7jBkrgG4VJ59V9jQiWbh7C7PvNm6uPbU5nRFhkwqEOpjPBmWYHALjBmYEi-fpNjsT8fwiJK2MBKEf6SCEOi5HTznOd3ybmf1hbSVLGTsAuZcdel
Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1485428
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Emotional Valence and Arousal: The Impact of AI-Generated Image Stimuli on Design Creativity
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Guanhua+Hou%22">Guanhua Hou</searchLink><br /><searchLink fieldCode="AR" term="%22Xinlei+Wang%22">Xinlei Wang</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Technology+and+Design+Education%22"><i>International Journal of Technology and Design Education</i></searchLink>. 2025 35(3):1103-1122.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 20
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Design%22">Design</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Graphics%22">Computer Graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Creativity%22">Creativity</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+Response%22">Emotional Response</searchLink><br /><searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Arousal+Patterns%22">Arousal Patterns</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1007/s10798-024-09941-2
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0957-7572<br />1573-1804
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The AI-generated inspirational images provided a new pathway for design learners to obtain inspiration, but previous research had overlooked the impact of the emotional valence and arousal of AI-generated images on design creativity. This study investigated the effects of emotional valence and arousal of AI-generated images on design creativity through two experiments. Experiment 1 examined the impact of emotional valence (positive, neutral, negative) of AI-generated images on design creativity, while Experiment 2 further analyzed the impact of arousal levels (high, low) of AI-generated images and design problem types (conceptual design problems, knowledge design problems) on design creativity under positive emotional conditions. The results showed that AI-generated images with positive emotional valence facilitated divergent thinking and enhanced the flexibility and originality of creative ideas. In knowledge design problems, AI-generated images with positive emotional valence and high arousal levels enhanced the originality of creative ideas. However, in conceptual design problems, the arousal levels of AI-generated images with positive emotional valence had no significant impact on design creativity. These findings provided insights into how design learners could utilize AI assistance in design.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1485428
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1485428
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10798-024-09941-2
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1103
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Design
        Type: general
      – SubjectFull: Computer Graphics
        Type: general
      – SubjectFull: Creativity
        Type: general
      – SubjectFull: Emotional Response
        Type: general
      – SubjectFull: Students
        Type: general
      – SubjectFull: Influence of Technology
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Arousal Patterns
        Type: general
    Titles:
      – TitleFull: Emotional Valence and Arousal: The Impact of AI-Generated Image Stimuli on Design Creativity
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Guanhua Hou
      – PersonEntity:
          Name:
            NameFull: Xinlei Wang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 0957-7572
            – Type: issn-electronic
              Value: 1573-1804
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: International Journal of Technology and Design Education
              Type: main
ResultId 1