Although agency, the ability to plan and act, is often seen as the key feature of what it means to be human, it is experience, the ability to sense and feel, that accounts for most variance when ascribing mind to non-human entities. Specifically when it comes to robots, we readily ascribe agency but are not expecting a high level of experience from them. However, as we are heading into a direction where robots become increasingly integrated in social contexts of our lives, a closer evaluation of the experience dimension will become highly relevant when it comes to an ethical incorporation of robots that benefits society. In the present experiment, we explore how different combinations of physical features in robots shape the impression of capabilities related to either agency or experience. For this purpose, we present participants with words associated with agency (e.g., reason) or experience (e.g., love) and ask them on a trial-by-trial basis which of two robots that vary in terms of their physical features they more strongly associate with the presented term. We use mouse tracking to capture explicit judgments related to mind perception (i.e., which robot), as well as the level of uncertainty associated with these decisions via mouse movement curvatures, which we hope to use as an implicit measure for the strength of association between a mind perception related term and the physical appearance of a robot. 104 participants will be collected (based on a power analysis assuming a medium effect size).