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Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement

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  • Yu, Joanne
  • Dickinger, Astrid
  • So, Kevin Kam Fung
  • Egger, Roman

Abstract

Focusing on the application of artificial intelligence, this study investigates the impact of emotional display on user engagement with computer-generated imagery influencers through the lens of the computers are social actors (CASA) framework. It breaks down emotions into individual muscle movements (i.e., facial action units). By using facial recognition based on 1,028 pictures shared by Lil Miquela, the findings disclose the significance of happiness, sadness, disgust, and surprise in triggering user engagement when promoting diverse products with visually captivating content. The findings highlight the importance of balancing the intensity of muscle movement to streamline the interplay between technology, human behaviour, and digital communication.

Suggested Citation

  • Yu, Joanne & Dickinger, Astrid & So, Kevin Kam Fung & Egger, Roman, 2024. "Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:joreco:v:76:y:2024:i:c:s0969698923003119
    DOI: 10.1016/j.jretconser.2023.103560
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    Cited by:

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    2. Shao, Zhucheng, 2024. "From human to virtual: Unmasking consumer switching intentions to virtual influencers by an integrated fsQCA and NCA method," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).

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