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Research Article

Vol. 1 No. 3 (2025): International Journal of Multidisciplinary Research

Research on Obstacles and Optimization Paths of Emotional Connection between Virtual Anchors and Consumers

DOI
https://doi.org/10.65231/ijmr.v1i3.92
Submitted
December 11, 2025
Published
2025-12-30

Abstract

With the deep integration of artificial intelligence and virtual reality technology, virtual anchors have become an important media form in e-commerce platforms, news communication, and other fields. This article systematically analyzes the three core obstacles of technology, cognition, and operation in the emotional connection between virtual anchors and consumers, as well as the deep-seated causes. The research found that the rigid human-computer interaction at the technical level stems from the ceiling of motion capture simulation technology, the lack of trust at the cognitive level is rooted in the perception of emotional commodification, and the homogenization at the operational level is attributed to security dependence; the three-dimensional optimization path can effectively solve the above obstacles by strengthening sensory immersion, balancing real perception. This research addresses fragmented studies and offers theoretical and practical support for the industry’s sustainable, high-quality development.

References

  1. Wolter J S, Donavan D T, Giebelhausen M. The corporate reputation and Consumer-company identification link as a sensemaking process: A cross-level interaction Analysis [J]. Journal of Business Research, 2021, 132: 289–300.
  2. Erjavec J, Manfreda A. Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd Behavior [J]. Journal of Retailing and Consumer Services, 2022, 65: 102867.
  3. Zhou S, Barnes L, McCormick H, et al. Social media influencers’ narrative strategies to create eWOM: A theoretical Contribution [J]. International Journal of Information Management, 2021, 59: 102293.
  4. Hao Xiangjun, Gu Xiaoqing, Bai Hongquan. How can human-computer interaction empathize: Emotional connection and ethical reflection based on human-computer interaction [J]. Modern Distance Education, 2025, (03): 79-87.
  5. Nagy P ,Neff G .Imagined Affordance: Reconstructing a Keyword for Communication Theory[J].Social Media + Society,2015,1(2):112-117.
  6. Ghislieri C, Dolce V, Sanseverino D, et al. Might insecurity and use of ICT enhance internet addiction and exhaust people? A study in two European countries during emergency remote Working [J]. Computers in Human Behavior, 2022, 126: 107010.
  7. Gao W, Jiang N, Guo Q. How do virtual streamers affect purchase intention in the live streaming context? A presence Perspective [J]. Journal of Retailing and Consumer Services, 2023, 73: 103356.
  8. Duan M, Zhang Q, Zhang Y, et al. When emotions don’t match: Effects of multimodal emotional misalignment in virtual streamers on viewer Engagement [J]. Information & Management, 2025, 62(8): 104222.
  9. Yao R, Qi G, Wu Z, et al. Digital human calls you dear: How do customers respond to virtual streamers’ social-oriented language in e-commerce livestreaming? A stereotyping Perspective [J]. Journal of Retailing and Consumer Services, 2024, 79: 103872.
  10. Liu Z ,Zhong S ,Jia N , et al.When feeling takes a backseat in livestream commerce: The effects of virtual versus human streamers on consumers’ impulsive buying[J].Journal of Retailing and Consumer Services,2026,88:104517.
  11. Jiang L, Li M. Research on the impact path of virtual streamers characteristics on agricultural product consumers’ purchase intention [J]. PLOS One, 2025, 20(8): e0330021.
  12. liu H, Zhang P, Cheng H, et al. Impact of AI-generated virtual streamer interaction on consumer purchase intention: A focus on social presence and perceived Value [J]. Journal of Retailing and Consumer Services, 2025, 85: 104290.
  13. Qin M, Liu M. How consumer perceptions of virtual streamers affect purchase intention in live streaming commerce: Based on cognition-affect-behavior Model [J]. Asia Pacific Journal of Marketing and Logistics, 2024, 37(6): 1679–1695.
  14. Zhang, T. (2025). A Neuro-Symbolic and Blockchain-Enhanced Multi-Agent Framework for Fair and Consistent Cross-Regulatory Audit Intelligence.
  15. HOU, R., JEONG, S., WANG, Y., LAW, K. H., & LYNCH, J. P. (2017). Camera-based triggering of bridge structural health monitoring systems using a cyber-physical system framework. Structural Health Monitoring 2017, (shm).
  16. Zhang, J., Pan, D., & Gu, Y. (2025). Academic Progress and Trend Analysis of Technological Innovation Management in the Context of Sustainable Development. International Journal of Multidisciplinary Research, 1(1), 111-117.
  17. Gu, Y., & Lukin, S. (2025). Employment Effects of Digital Economy: The Role of SMEs in Bridging Skill Mismatch. International Journal of Multidisciplinary Research, 1(2), 112-118.