![]() ![]() ![]() The program establishes a wireless connection to the glasses and, within separate threads, continuously leverages the received data in numerical or string formats accessible for saving, processing, and graphical purposes. Tobii Pro Glasses 3 is equipped with embedded cameras viewing the visual scene and the eyes, inertial measurement unit (IMU) sensors, and video-based eye tracker implemented in the accompanying unit. TP3Py’s modular pipeline provides a platform for incorporating user-oriented functionalities and comprehensive data acquisition to accelerate the development in behavioral and tracking research. ![]() Here we introduce an open-source python software (TP3Py) for collection and analysis of portable eye/head tracking signals using Tobii Pro Glasses 3. Head-mounted tools for eye/head tracking are increasingly used for assessment of visual behavior in navigation, sports, sociology, and neuroeconomics. Our results highlight how environmental cues can impact core human decision processes and reveal that comprehensive drift diffusion modeling approaches can yield novel insights in reward-based decision processes. Our findings replicate previous work on cue-reactivity effects in temporal discounting and for the first time show similar effects in model-based reinforcement learning. Notably, DDM linked this effect to attenuated forgetting rates of unchosen options, leaving the model-based control parameter unchanged. Model-based control during reinforcement learning was reduced following erotic cues according to model-agnostic analysis. Hierarchical drift diffusion modeling (DDM) linked increased discounting to a shift in the starting point bias of evidence accumulation towards immediate options. Erotic cue exposure nominally increased discounting as reflected by reduced choices of delayed options. neutral cues both on the subjective and autonomic level. Arousal was increased during exposure of erotic vs. Self-reported and physiological arousal (cardiac activity and pupil dilation) were assessed before and during cue exposure. Here we tested cue-reactivity effects (erotic pictures) on subsequent temporal discounting and model-based reinforcement learning in a within-subjects design in n=39 healthy male participants. Whether model-based reinforcement learning is similarly affected by arousing cues is unclear. For example, highly arousing cues such as erotic pictures were shown to increase discounting, although overall evidence to date remains somewhat mixed. Despite its trait-like stability, temporal discounting has been suggested to be at least partly under contextual control. Temporal discounting of future rewards and model-based control during reinforcement learning have proven as two promising candidates. Computational psychiatry focuses on identifying core cognitive processes that appear altered across a broad range of psychiatric disorders. ![]()
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