The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study.

Researchers using eye tracking are heavily dependent on software and hardware tools to perform their studies, from recording eye tracking data and visualizing it, to processing and analyzing it. This article provides an overview of available tools for research using eye trackers and discusses considerations to make when choosing which tools to adopt for one's study.

Gaze-action coupling, gaze-gesture coupling, and exogenous attraction of gaze in dyadic interactions.

In human interactions, gaze may be used to acquire information for goal-directed actions, to acquire information related to the interacting partner's actions, and in the context of multimodal communication. At present, there are no models of gaze behavior in the context of vision that adequately incorporate these three components. In this study, we aimed to uncover and quantify patterns of within-person gaze-action coupling, gaze-gesture and gaze-speech coupling, and coupling between one person's gaze and another person's manual actions, gestures, or speech (or exogenous attraction of gaze) during dyadic collaboration.

Hope for the best or prepare for the worst? Calm perseverance, not vigilant monitoring, contributes to adolescent life satisfaction.

Objective: Which kind of self-regulatory strategies contribute to life satisfaction in adolescence?

Materials And Methods: In the present research, we tested two competing hypotheses arguing that either a strategy of vigilant monitoring of opportunities for working towards goal achievement or a calm perseverance strategy steadily working towards goals in a slower pace would promote life satisfaction in a large and diverse sample of adolescents. We also tested whether the employment of these strategies would hinge on perceptions of goal importance and goal attainability.

Results: Employing a longitudinal design, we found support that calm perseverance was the sole significant predictor of life satisfaction regardless of goal perceptions.

Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes.

Acute and chronic coronary syndromes (ACS and CCS) are leading causes of mortality. Inflammation is considered a key pathogenic driver of these diseases, but the underlying immune states and their clinical implications remain poorly understood. Multiomic factor analysis (MOFA) allows unsupervised data exploration across multiple data types, identifying major axes of variation and associating these with underlying molecular processes.