Magic Curiosity Arousing Tricks (MagicCATs): A novel stimulus collection to induce epistemic emotions.

There has been considerable interest in empirical research on epistemic emotions, i.e., emotions related to knowledge-generating qualities of cognitive tasks and activities such as curiosity, interest, and surprise. One big challenge when studying epistemic emotions is systematically inducting these emotions in restricted experimental settings. The current study created a novel stimulus set called Magic Curiosity Arousing Tricks (MagicCATs): a collection of 166 short magic trick video clips that aim to induce a variety of epistemic emotions. MagicCATs are freely available for research and can be used in a variety of ways to examine epistemic emotions. Rating data also support that the magic tricks elicit a variety of epistemic emotions with sufficient inter-stimulus variability, demonstrating good psychometric properties for their use in psychological experiments.

Adult age differences in noninstrumental information-seeking strategies.

We often seek information without any explicit incentives or goals (i.e., noninstrumental information seeking, often noted as a manifestation of curiosity). Does noninstrumental information-seeking change with age? We tried to answer the question by making a critical distinction between two information-seeking behaviors: diversive information seeking (i.e., information seeking for topics a person knows little about) and specific information seeking (i.e., information seeking to deepen a person's existing knowledge of a topic). Five hundred participants (age range: 12-79 years old) spontaneously read new facts about different topics. After reading each fact, participants were given the choice to read more facts about the current topic or return to the selection menu to learn about a new topic. We found that with increasing age, participants chose to explore more facts within a topic (i.e., increased specific information seeking) and switched less frequently to new topics (i.e., decreased diversive information seeking). These results indicate that while young people seek out a broader range of information, as people grow older, they develop a preference to deepen their existing knowledge. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

People's naïve belief about curiosity and interest: A qualitative study.

The purpose of this study was to critically examine how people perceive the definitions, differences and similarities of interest and curiosity, and address the subjective boundaries between interest and curiosity. We used a qualitative research approach given the research questions and the goal to develop an in-depth understanding of people's meaning of interest and curiosity. We used data from a sample of 126 U.S. adults (48.5% male) recruited through Amazon's Mechanical Turk (Mage = 40.7, SDage = 11.7). Semi-structured questions were used and thematic analysis was applied. The results showed two themes relating to differences between curiosity and interest; active/stable feelings and certainty/uncertainty. Curiosity was defined as an active feeling (more specifically a first, fleeting feeling) and a child-like emotion that often involves a strong urge to think actively and differently, whereas interest was described as stable and sustainable feeling, which is characterized as involved engagement and personal preferences (e.g., hobbies). In addition, participants related curiosity to uncertainty, e.g., trying new things and risk-taking behaviour. Certainty, on the other hand, was deemed as an important component in the definition of interest, which helps individuals acquire deep knowledge. Both curiosity and interest were reported to be innate and positive feelings that support motivation and knowledge-seeking during the learning process.

The role of interest in memory for trivia questions: An investigation with a large-scale database.

The importance of interest for memory performance has been established in previous studies. One way to induce interest in experiments is to use trivia questions. However, previous studies have used only a limited number of trivia questions and these questions differ substantially across studies, making it difficult to ensure the comparability and generalizability of the findings. Most of these studies also have not differentiated between interest in the trivia question itself and interest in the corresponding answer. To address these issues, the current study established a normative database for 244 trivia questions with a large sample (N = 1498) and examined how pre-answer interest (i.e., interest in the question) and post-answer interest (i.e., interest in the answer) relate to learning performance. Participants were presented with trivia questions, asked to provide their best guess for the answer, rated their confidence in the guess, and indicated their interest in learning the true answer. Following the presentation of the answer, participants indicated their post-answer interest. One week later, participants were given a memory test on the questions. A multilevel structural equation model revealed that the positive relationship between pre-answer interest and memory was fully mediated by post-answer interest (i.e., interest in the questions' answer). Confidence had both a direct and a mediated effect (over interest) on memory. These results provide a more fine-grained analysis of how interest can fuel learning.

Meta-analysis to integrate effect sizes within an article: Possible misuse and Type I error inflation.

In recent years an increasing number of articles have employed meta-analysis to integrate effect sizes of researchers' own series of studies within a single article ("internal meta-analysis"). Although this approach has the obvious advantage of obtaining narrower confidence intervals, we show that it could inadvertently inflate false-positive rates if researchers are motivated to use internal meta-analysis in order to obtain a significant overall effect. Specifically, if one decides whether to stop or continue a further replication experiment depending on the significance of the results in an internal meta-analysis, false-positive rates would increase beyond the nominal level. We conducted a set of Monte Carlo simulations to demonstrate our argument, and provided a literature review to gauge awareness and prevalence of this issue. Furthermore, we made several recommendations when using internal meta-analysis to make a judgment on statistical significance.