2026-04-13T13:14:04Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3687912025-07-23T04:01:16Zcom_2072_1033col_2072_452951

00925njm 22002777a 4500 dc Rosello Marin, Eric author 2022-04-27 User experience questionnaires are used at the end of a playtesting session to assess the quality of video games and improve their design. Performing a survey after the experience can lead to the user not remembering details and undergo boring and survey fatigue. We propose to integrate the survey in-game, by means of a conversational agent. We aim at endowing this agent with a value-aligned behaviour, using our definition of the moral value of respect to guide the agent not to disturb the user engagement. Endowing this value by means of reinforcement learning and the ethical embedding algorithm, which redesigns an environment to promote ethical behaviour, ensuring the agent learns to pursue its individual objective while fulfilling the ethical objective. A review of the state-of-the-art showcases that the novelty of our work 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. Results highlight the advantages of the embedding of a moral value in front of an agent with no ethical notion, with the ethical agent improving to avoid disturbing engagement compared to the unethical counterpart, setting the pavement for future ethical conversational agents. Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial Reinforcement learning Video games Ètica de les màquines Aprenentatge per reforç Agents conversacionals Qüestionaris d'experiència d'usuari Videojocs Machine ethics Reinforcement Learning Conversational Agents User Experience Questionnaires Video Games Aprenentatge per reforç Videojocs Ethical conversational agent for performing in-game user experience questionnaires