Would you trust me?  I´m created – The use of virtual influencers in the cosmetic industry

The ongoing digitalization has not only transformed consumer behavior but also revolutionized how companies target their audiences. Particularly in the cosmetic industry, influencer marketing has become increasingly relevant. A novel development in this area is the rise of virtual influencers (VI), created using computer-generated imagery (CGI). In her master’s thesis, Julia Mergel, a student of our business psychology program, explores the effects of the visual human-likeness of VI on their perceived credibility in the cosmetic industry. The study identifies key factors for successful collaborations between companies and VI.

Research goal

The goal of this research was to understand how the visual human-likeness of VI affects their credibility ratings. The focus on credibility is especially relevant for virtual influencer, because – unlike human influencers – they are not independent entities and every post by them is usually created by a marketing team in the background. The study focuses on the cosmetic industry, where credibility plays a crucial role in consumer purchase decisions. Specifically, the research investigates whether different degrees of human-likeness in VI affect three critical factors influencing credibility: attractiveness, trustworthiness, and expertise. These three factors are related to each other in an interdependent relationship, collectively creating the perception of credibility of news senders (Ohanian, 1990).

Research overview

VI are CGI-created characters that actively participate in social media and are increasingly used for marketing purposes. Their application is particularly noticeable in the fashion and cosmetic industries. However, up to now the majority of studies on influencer marketing has primarily concentrated on human influencers (Why are influencers perceived as credible by social media users? – Innovation Acceptance Lab), with few focusing on virtual influencers and even fewer examining the effect of visual human-likeness on VI credibility.

The participants in the study were exposed to four different influencers: three VI with varying degrees of human-likeness and one human influencer. The study employed a within-subjects design where each participant viewed all influencers with a different post on a cosmetics product in a randomized order. The VI ranged from highly animated, cartoonish depictions to almost photorealistic, human-like virtual influencers. Participants were then asked to rate the credibility of each influencer and, in addition, to evaluate the three factors underlying credibility: attractiveness, trustworthiness, and expertise, which were later used as mediators in the analysis.

The study was run as an online experiment involving 119 female Instagram users, all of whom followed influencers.

Main findings

The study revealed that visual human-likeness significantly influences the perception of credibility. It was found that greater human-likeness had a positive impact on credibility ratings up to a certain point: No significant difference in perceived credibility was found between the most human-like VI and the human influencer.

The degree of human-likeness also had an effect on the underlying credibility factors:

  • Trustworthiness: A higher degree of human-likeness had a significant positive influence on trustworthiness of the VI.  
  • Attractiveness: A higher degree of human-likeness also increased the perceived attractiveness of the VI. Attractiveness plays a central role in credibility evaluations of influencers, as this trait fosters trust among consumers, making the VI appear less „uncanny“ or artificial (Choudhry et al., 2022).
  • Expertise: The perceived expertise of VI also increased with greater human-likeness. Participants perceived human-like VI as more competent compared to highly animated ones.

The parallel mediation analysis confirmed that all three factors influencing credibility—attractiveness, trustworthiness, and expertise—served as mediators. Overall, 72.5% of the total variance in credibility ratings was explained after including these mediators (p < .001). Trustworthiness, in particular, had the strongest effect on credibility assessments.

Scepticism toward influencer marketing

Despite the clear trends, the overall findings showed that none of the four influencers (including the human influencer!) received particularly high credibility ratings. On a seven-point scale, the highest mean score was lower than the “neutral” middle point (M = 3.71, SD = 1.32). This aligns with a survey by a digital market research institute, which found that advertising with human influencers is not necessarily perceived as more credible than traditional advertising (nextMedia. Hamburg, 2022). Thus, there may be other reasons, why influencers are so successful at the moment.

In an additional exploratory survey, reasons for and against following VI accounts were examined. Five respondents mentioned following VI out of entertainment, content interest, or curiosity. On the other hand, there were 90 negative responses. The most common reasons were that VI were seen as unrealistic, inauthentic, incapable of real experiences, and thus perceived as untrustworthy. Additionally, some found VI impersonal, and at times, even eerie or threatening. However, these descriptive results are likely influenced by the fact that VI aren’t as popular in Germany as in some American or Asian countries (Ströer Blog, 2023).

Implications

For the cosmetic industry, particularly in advertising on platforms like Instagram, companies and developers of VI should consider the following key factors to enhance the credibility of their marketing campaigns.

  1. Visual human-likeness: Companies should opt for VI with high visual human-likeness to increase credibility and avoid consumer discomfort.
  2. Factors influencing credibility: Companies should prioritize VI that are perceived as trustworthy, competent, and attractive to boost source credibility. Trustworthiness has the greatest impact on credibility, so particular attention should be paid to this factor.
  3. Product categories: Products such as nail polish or lipstick, which enhance aesthetic appeal, are better suited for VI advertising than products intended to correct human flaws.

Conclusion

While there remains scepticism surrounding VI, they are increasingly gaining importance in marketing, especially in the cosmetic industry. Our study shows that greater visual human-likeness positively influences the perception of attractiveness, trustworthiness, and expertise—key factors influencing credibility. Companies should leverage these insights to tailor their marketing strategies around VI and maximize the benefits of this innovative technology.

References

Choudhry, A., Han, J., Xu, X. & Huang, Y. (2022). „I Felt a Little Crazy Following a ‚Doll'“: Investigating Real Influence of Virtual Influencers on Their Followers. Proceedings of the ACM on Human-Computer Interaction, 6(GROUP), 1–28. https://doi.org/10.1145/3492862

NextMedia.Hamburg (Hrsg.). (2022). Authentisch, aber bitte unpolitisch? So standen die Befragten zu Influencer*innen. Verfügbar unter: https://www.nextmedia-hamburg.de/umfrage-zu-influencerinnen-lieberauthentisch-und-unpolitisch

Ohanian, R. (1990). Construction and Validation of a Scale to Measure Celebrity Endorsers‘ Perceived Expertise, Trustworthiness, and Attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191

 

 

Human or Machine? The influence of increasing human-likeness in AI tools on user acceptance: A comparative study in the context of Conversational Commerce

Digital sales consultation through AI-driven dialogue systems is increasingly shaping interactions between companies and customers. A central trend in this context is Conversational Commerce, where AI-based systems provide personalized product recommendations and advice in online shopping. With advancing technological development, these systems are becoming ever more human-like – from text-based chatbots to voice assistants that communicate naturally, and finally to AI avatars whose appearance and behavior are sometimes barely distinguishable from real people.
But how does this increasing human-likeness affect user perception and acceptance? This question was at the heart of the bachelor’s thesis by Lara-Maria Kraft, which examined the influence of different AI representations – chatbot, voice assistant, and AI avatar – on users’ willingness to use such systems within the framework of Conversational Commerce.

Research Objective

The aim of the study was to examine whether a higher degree of human-likeness – that is, moving from a text-based chatbot to a voice assistant and ultimately to an AI avatar – increases users’ willingness to use these systems. In addition, the study analyzed whether this relationship is mediated by perceived human-likeness (anthropomorphism) and moderated by potential discomfort as described by the Uncanny Valley effect.
The findings aim to help companies in digital commerce design AI-based tools that foster high user acceptance and thereby contribute to long-term commercial success in Conversational Commerce.

Method

The research was conducted as an experimental online study with 176 participants. Subjects were randomly assigned to one of three interaction formats differing in their level of human-likeness:

  1. Chatbot – text-based interaction
  2. Voice Assistant – auditory communication
  3. AI Avatar – audiovisual representation

All groups were shown an identical video scenario simulating an AI-based product consultation in an online store. Using the example of choosing a running shoe, participants were guided through the consultation process by a virtual assistant. Afterwards, they evaluated their perception of anthropomorphism (the attribution of human qualities), their feeling of eeriness in line with the Uncanny Valley concept, and their willingness to use the presented AI system.

Key Findings

The results revealed a generally high willingness to use AI-based consultation systems in the context of Conversational Commerce – regardless of their specific form. Contrary to expectations, the degree of human-likeness had no significant impact on usage intention; no differences were found between chatbot, voice assistant, and AI avatar conditions.

Likewise, neither the mediating role of anthropomorphism nor the moderating effect of eeriness (as explained by the Uncanny Valley effect) were empirically supported. However, a clear positive relationship emerged between perceived anthropomorphism and willingness to use: the more human-like a system was perceived to be, the greater participants’ readiness to interact with it. Thus, anthropomorphism, understood as the subjective attribution of human qualities, proved to be a central factor influencing user perception and acceptance of AI tools – independent of their visual or technical design.

Practical Implications

Based on the empirical results, several practical recommendations can be derived for the design of AI-driven systems in Conversational Commerce. The findings show that users generally display a high openness to interaction with AI systems, regardless of their external form. This overall acceptance can serve as a strategic impulse for companies to systematically integrate AI-based consultation tools into digital shopping processes.

Especially in e-commerce, where personal consultation is often lacking, such systems can enhance the customer experience by supporting users throughout the information, selection, and decision-making phases. However, companies should not primarily invest in costly or hyper-realistic avatars. Instead, the focus should be on creating a natural, empathetic, and user-oriented communication style that builds trust and conveys social closeness – factors that are far more decisive for acceptance than purely visual human-likeness.

Conclusion

This study explored the influence of increasing human-likeness in AI-based systems on user acceptance within the field of Conversational Commerce. Contrary to expectations, the degree of human-likeness – whether chatbot, voice assistant, or AI avatar – did not significantly affect users’ willingness to engage. What truly matters is how human-like the system is perceived.

Perceived anthropomorphism emerged as a key factor: the more human qualities users attributed to a system, the greater their willingness to use it – independent of its actual design. However, this perception is not necessarily triggered by more human-like visual appearance alone.

Future research should therefore focus on identifying the specific factors and interaction elements that foster anthropomorphism in AI systems – and explore how these can be strategically employed to further enhance user acceptance and experience.

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