“…While previous work in this direction manipulated artificial object arrays, either simple (e.g., Belke, 2001) or complex ones (e.g., Elsner et al, 2018), and sometimes even movie clips depicting motion events (Von Stutterheim, Andermann, Caroll, Flecken, & Schmiedtová, 2012), the current study measured eye movements using static, photo-realistic scenes. Our overall finding that increased realism in such scenes leads to substantially longer SOTs and arguably more complex scanning patterns, but not to fundamentally different search strategies, is relevant for models of reference production: it suggests that testing such models against empirical data gathered with simplified stimuli (e.g., Chen & Van Deemter, 2023;Gatt et al, 2017;Long et al, 2021) can be valid, as long as the nature of the scenes does not require a reduction of the set of distractors for contextual, semantic reasons. In general, our findings lend support for the notion that distractors shape the production of referring expressions, an idea that has been central to many computational models of reference production (since Dale & Reiter, 1995), and also has been argued to underpin models of human reference production (see, e.g., Van Gompel, van Deemter, Gatt, Snoeren, & Krahmer, 2019 for discussion).…”