JOURNAL ARTICLE

Measuring emotional response to positive dog narratives: Human vs. AI content through Self-Assessment Manikin (SAM).

  • Published In: Information Design Journal (IDJ), 2025, v. 30, n. 2. P. 162 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Pinasthika, Lalitya Talitha; Erica, Luisa; Selamet, Juhri 3 of 3

Abstract

In Indonesia, dogs often face social and religious resistance, which increases their vulnerability after abandonment. This study investigates how different storytelling formats — visual vs. textual and AI-generated vs. human-created — affect emotional responses to dog-related narratives. Using a quantitative experimental design with 135 participants and the Self-Assessment Manikin (SAM), results show that human-written texts significantly influence both valence and arousal, while AI-generated text affect valence only. ANOVA and post-hoc tests reveal that human-created illustrations elicit higher pleasure and lower arousal, whereas AI-generated images score higher in dominance. These findings offer insights into designing culturally sensitive, emotionally resonant communication strategies for promoting animal welfare. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Information Design Journal (IDJ). 2025/05, Vol. 30, Issue 2, p162
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0142-5471
  • DOI:10.1075/idj.25004.pin
  • Accession Number:192934323
  • Copyright Statement:Copyright of Information Design Journal (IDJ) is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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