The improvement of videogames highly relies on feedback, usually gathered through UX questionnaires performed after playing. However, users may not remember all the details. This paper proposes an ethical conversational agent, endowed with the moral value of respect, that interacts with the user to perform a survey during the game session. To do so, we use reinforcement learning and the ethical embedding algorithm to ensure that the agent learns to be respectful (i.e., avoid gameplay interruptions) while pursuing its individual objective of asking questions. The novelty is twofold: firstly, the application of ethical embedding outside toy problems; and secondly, the enrichment of a survey oriented conversational agent with this moral value of respect. Results showcase how our ethical conversational bot manages to avoid disturbing user’s engagement while getting even a higher percentage of valid answers than a non-ethically enriched chatbot.