Since the origin of the genus Homo, stone-based technologies were an important component of the toolkit of past humans. Studying the evidence left on stone tools is an important field in archaeology for understanding the evolution of human behaviour. Information about the use of stone tools in the past is encoded in the wear patterns left on the surface of a tool. Use-wear analysis investigates the mechanisms involved in the formation of diagnostic wear traces. Occlusal Fingerprint Analysis (OFA) is a well-established method in dental wear studies to simulate chewing actions and thus to locate and quantify kinematics of dental wear facets (see Kullmer et al. 2009, 2012). In a pilot study, we apply, for the first time, the OFA approach to a set of experimentally produced stone tools. The overarching goal is to build expectation models for where use-wear traces are expected to develop on stone tools based on their morphology and on the action performed. Methods include the use of robots in controlled experiments, 3D modelling and use-wear analysis. In producing expectation models, the results of this study confirm that the OFA method can contribute to differentiating between wear traces from human use and those from post-depositional alterations. Further, the method can be used for answering questions on tool performance because the software produces information regarding the amount of contact between the tool and the worked material.