<p>As generative artificial intelligence (AIGC) tools gain widespread application in creative design, growing concerns have been raised over users’ diminished sense of control and the emotional shallowness of AI-generated content. These limitations may undermine users’ sense of engagement and overall satisfaction in co-creation tasks. This study investigates how expressive activation—defined as guiding users to recall and express personal emotions and memories during a simulated creative process—shapes perceived user experience in a questionnaire-based simulated AIGC co-creation scenario. Using a survey-based scenario task, data were collected from 129 participants who had general experience using AIGC tools (68 in the expressive activation group and 61 in the non-expressive activation group). The results showed that expressive activation significantly increased user satisfaction. Furthermore, perceived control and perceived meaning-making ability served as sequential mediators, forming a chained path: expressive activation → perceived control → meaning-making → satisfaction. These findings suggest that, within a questionnaire-based simulated co-creation scenario, encouraging expressive engagement can enhance participants’ perceived psychological agency and emotional connection, thereby improving perceived satisfaction. This study identifies key psychological mechanisms relevant to human–AI co-creation and offers preliminary design insights for building AIGC systems that may foster deeper meaning and emotional resonance.</p>

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Expressive activation enhances user satisfaction in AIGC co-creation through perceived control and meaning-making

  • Ya-Qin You,
  • Shing-Sheng Guan,
  • Yu-Liang Feng

摘要

As generative artificial intelligence (AIGC) tools gain widespread application in creative design, growing concerns have been raised over users’ diminished sense of control and the emotional shallowness of AI-generated content. These limitations may undermine users’ sense of engagement and overall satisfaction in co-creation tasks. This study investigates how expressive activation—defined as guiding users to recall and express personal emotions and memories during a simulated creative process—shapes perceived user experience in a questionnaire-based simulated AIGC co-creation scenario. Using a survey-based scenario task, data were collected from 129 participants who had general experience using AIGC tools (68 in the expressive activation group and 61 in the non-expressive activation group). The results showed that expressive activation significantly increased user satisfaction. Furthermore, perceived control and perceived meaning-making ability served as sequential mediators, forming a chained path: expressive activation → perceived control → meaning-making → satisfaction. These findings suggest that, within a questionnaire-based simulated co-creation scenario, encouraging expressive engagement can enhance participants’ perceived psychological agency and emotional connection, thereby improving perceived satisfaction. This study identifies key psychological mechanisms relevant to human–AI co-creation and offers preliminary design insights for building AIGC systems that may foster deeper meaning and emotional resonance.