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“Ads that Talk Back”: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Brian Tang, Kaiwen Sun, Noah T. Curran, Florian Schaub, Kang G. Shin

Embedding personalized advertisements within chatbot responses. We developed a system that generates targeted ads in LLM chatbot conversations and conducted a user study to assess how ad injection impacts trust and response quality. Users struggle to detect chatbot ads, and undisclosed ads are rated more favorably, raising ethical concerns. Contribution: lead author.

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