In recent years, understanding psychological constructs as network processes has gained considerable traction in the social sciences. In this paper, we propose the aesthetic effects network (AEN)... Show moreIn recent years, understanding psychological constructs as network processes has gained considerable traction in the social sciences. In this paper, we propose the aesthetic effects network (AEN) as a novel way to conceptualize aesthetic experience. The AEN represents an associative process where having one association leads to the next association, generating an overall aesthetic experience. In art theory, associations of this kind are referred to as aesthetic effects. The AEN provides an explicit account of a specific cognitive process involved in aesthetic experience. We first outline the AEN and discuss empirical results (Study 1, N=255) to explore what can be gained from this approach. Second, in Study 2 (N=133, pre-registered) we follow calls in the literature to substantiate network theories by using an experimental manipulation, and found evidence in favor of the AEN over other alternatives. The AEN provides a basis for future studies that can apply a network perspective to different aesthetic experiences and processes. This perspective takes a process-based approach to aesthetic experience, where aesthetic experience is represented as an active interaction between viewer and artwork. If we want to understand how people experience art, it is central to know why people have different experiences with the same artworks, and, also, why people have similar experiences when looking at different artworks. Our proposed network perspective offers a new way to approach and potentially answer these questions. Show less
Dishonesty is an intriguing phenomenon, studied extensively across various disciplines due to its impact on people's lives as well as society in general. To examine dishonesty in a controlled... Show moreDishonesty is an intriguing phenomenon, studied extensively across various disciplines due to its impact on people's lives as well as society in general. To examine dishonesty in a controlled setting, researchers have developed a number of experimental paradigms. One of the most popular approaches in this regard, is the matrix task, in which participants receive matrices wherein they have to find two numbers that sum to 10 (e.g., 4.81 and 5.19), under time pressure. In a next phase, participants need to report how many matrices they had solved correctly, allowing them the opportunity to cheat by exaggerating their performance in order to get a larger reward. Here, we argue, both on theoretical and empirical grounds, that the matrix task is ill-suited to study dishonest behavior, primarily because it conflates cheating with honest mistakes. We therefore recommend researchers to use different paradigms to examine dishonesty, and treat (previous) findings based on the matrix task with due caution. Show less
