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This study provides insight into traveler-related attributes affecting the choice of future autonomous vehicles (AVs) and explores the importance of integrating those attributes into agent-based simulations and service optimization assessments. For this purpose, an online survey was carried out to collect data on travelers of the greater Paris region along with their behavior regarding autonomous vehicles. In addition, this paper identifies AV taste variations among individuals as well as the subjective criteria behind their willingness-to-use a shared autonomous vehicle (SAV) service depending on their current mode of transport. The paper shows how traveler-related attributes are relevant to studying a shared autonomous mobility system and how they can enhance the accuracy of agent-based models and the traveler preference dimension in optimization models.