Behavior Research Methods最新文献

This article develops a comprehensive database comprising 5956 German affective norms specifically tailored for the study of organizational atmospheres through computational verbal language analysis. This dictionary adopts both dimensional and categorical approaches. The theoretical foundation of this study is the circumplex model of affective atmospheres. Similar to established methodologies, each word is rated based on the dimensions of valence and arousal. Going beyond the dimensional approach, this article introduces a classification system with 11 distinct atmospheric categories, assigning the words to their corresponding categories. This dictionary represents the first attempt to apply computer-aided text analysis (CATA) to the study of organizational atmospheres, providing a practical tool to support research in this developing area.

In the field of psychological science, behavioral performance in computer-based cognitive tasks often exhibits poor reliability. The absence of reliable measures of cognitive processes contributes to non-reproducibility in the field and impedes the investigation of individual differences. Specifically in visual search paradigms, response time-based measures have shown poor test-retest reliability and internal consistency across attention capture and distractor suppression, but one study has demonstrated the potential for oculomotor measures to exhibit superior reliability. Therefore, in this study, we investigated three datasets to compare the reliability of learning-dependent distractor suppression measured via distractor fixations (oculomotor capture) and latency to fixate the target (fixation times). Our findings reveal superior split-half reliability of oculomotor capture compared to that of fixation times regardless of the critical distractor comparison, with the reliability of oculomotor capture in most cases falling within the range that is acceptable for the investigation of individual differences. We additionally find that older adults have superior oculomotor reliability compared with young adults, potentially addressing a significant limitation in the aging literature of high variability in response time measures due to slower responses. Our findings highlight the utility of measuring eye movements in the pursuit of reliable indicators of distractor processing and the need to further test and develop additional measures in other sensory domains to maximize statistical power, reliability, and reproducibility.

The study of large language models (LLMs) and LLM-powered chatbots has gained significant attention in recent years, with researchers treating LLMs as participants in psychological experiments. To facilitate this research, we developed an R package called "MacBehaviour " ( https://github.com/xufengduan/MacBehaviour ), which interacts with over 100 LLMs, including OpenAI's GPT family, the Claude family, Gemini, Llama family, and other open-weight models. The package streamlines the processes of LLM behavioural experimentation by providing a comprehensive set of functions for experiment design, stimuli presentation, model behaviour manipulation, and logging responses and token probabilities. With a few lines of code, researchers can seamlessly set up and conduct psychological experiments, making LLM behaviour studies highly accessible. To validate the utility and effectiveness of "MacBehaviour," we conducted three experiments on GPT-3.5 Turbo, Llama-2-7b-chat-hf, and Vicuna-1.5-13b, replicating the sound-gender association in LLMs. The results consistently demonstrated that these LLMs exhibit human-like tendencies to infer gender from novel personal names based on their phonology, as previously shown by Cai et al. (2024). In conclusion, "MacBehaviour" is a user-friendly R package that simplifies and standardises the experimental process for machine behaviour studies, offering a valuable tool for researchers in this field.

Research involving brands has increased substantially in recent decades. However, no extensive and free dataset of consumer responses to branding stimuli exists. The present research develops and validates such a dataset, which we call the Brand Recognition and Attitude Norms Database (BRAND). BRAND is the most comprehensive set of methodologically transparent, freely available, research-relevant consumer responses to branding stimuli, with measures of familiarity (awareness), liking (attitudes), and memory (recognition) of more than 500 top brands and their logos, spanning 32 industries. BRAND includes 5,356 primary datapoints aggregated from 244,400 raw datapoints (i.e., individual familiarity, liking, and memory responses) collected from 2000 US-resident consumers in 2 years (i.e., 2020 and 2024). The data exhibit good reliability, face validity, external validity, robustness across samples and time, cross-validity, and discriminant validity. BRAND can be broadly useful for testing hypotheses involving responses to brands, and for selecting stimuli in any study involving brands or logos. Thus, BRAND can facilitate research not only in consumer behavior and psychology but also in several related academic disciplines (e.g., economics, management, marketing).

Despite long-standing concerns about the use of free reaction times (RTs) in cognitive psychology, they remain a prevalent measure of conflict resolution. This report presents the forced-response method as a fresh approach to examine speed-accuracy trade-off functions (SATs) in conflict tasks. The method involves fixing the overall response time, varying the onset of stimuli, and observing response expression. We applied this method to an arrow flanker task. By systematically varying the time between stimulus onset and response, we reveal a comprehensive time course of the flanker interference effect that is rarely observed in previous literature. We further show that influential manipulations observed in free-RT paradigms similarly affect accuracy within the forced-response technique, suggesting that the forced-response method retains the core cognitive processing characteristics of traditional free-RT conflict tasks. As a behavioral method that examines the time course of cognitive processing, the forced-response method provides a novel and more nuanced look into the dynamics of conflict resolution.

Eye tracking technology has become increasingly prevalent in scientific research, offering unique insights into oculomotor and cognitive processes. The present article explores the relationship between scientific theory, the research question, and the use of eye-tracking technology. It aims to guide readers in determining if eye tracking is suitable for their studies and how to formulate relevant research questions. Examples from research on oculomotor control, reading, scene perception, task execution, visual expertise, and instructional design are used to illustrate the connection between theory and eye-tracking data. These examples may serve as inspiration to researchers new to eye tracking. In summarizing the examples, three important considerations emerge: (1) whether the study focuses on describing eye movements or uses them as a proxy for e.g., perceptual, or cognitive processes, (2) the logical chain from theory to predictions, and (3) whether the study is of an observational or idea-testing nature. We provide a generic scheme and a set of specific questions that may help researchers formulate and explicate their research question using eye tracking.

Aside from some common movement regularities, significant inter-individual and inter-trial variation within the same individual exists in motor system output. However, there is still a lack of a robust and widely adopted solution for quantifying the degree of similarity between movements. We therefore developed an innovative approach based on the Procrustes transformation to compute 'motor distance' between pairs of kinematic data. As a proof of concept, we tested this on a dataset of reach-to-grasp movements performed by 16 participants while acting with the same confederate. Using the information of wrist velocity, acceleration, and jerk, the proposed technique was able to correctly estimate smaller distances between movements performed by the confederate compared with those of participants. Moreover, the reconstructed pattern of inter-subject distances was consistent when computed either on precision grip prehension or whole hand prehension, suggesting its suitability for the investigation of 'motor styles'. The definition of a solid approach to 'motor distance' computation, therefore, opens the way to new research lines in the field of movement kinematics.

The present study introduces the Persian Sentence Reading (PSR) Corpus, aiming to expand empirical data for Persian, an under-investigated language in research on oculomotor control in reading. Reading research has largely focused on Latin script languages with a left-to-right reading direction. However, languages with different reading directions, such as right-to-left and top-to-bottom, and particularly Persian script-based languages like Farsi and Dari, have remained understudied. This study pioneers in providing an eye movement dataset for reading Persian sentences, enabling further exploration of the influences of unique Persian characteristics on eye movement patterns during sentence reading. The core objective of the study is to provide data about how word characteristics impact eye movement patterns. The research also investigates the characteristics of the interplay between neighboring words and eye movements on them. By broadening the scope of reading research beyond commonly studied languages, the study aims to contribute to an interdisciplinary approach to reading research, exemplifying investigations through various theoretical and methodological perspectives.

This methodological paper examines the assessment of interpersonal synchrony during a joint dancing task between mothers and their children (aged 4 to 5 years) using OpenPose. This pose estimation tool captures movement in naturalistic settings. The study analyzes 45 mother-child dyads, comparing two analytical methods for assessing synchrony, and examines their correlation with the Coding Interactive Behavior (CIB) measure of interaction quality. The first method employs cross-wavelet transform (CWT) coherence to assess synchrony based on vertical head movement. This straightforward and computationally efficient approach reveals a significant correlation between interpersonal synchrony and CIB scores, thus implying its potential as a reliable indicator of interaction quality and suggesting its potential as a measure of interaction quality. The second method, the generalized cross-wavelet transform (GCWT), analyzes synchrony across multiple body parts, offering a more complex and detailed analysis of interpersonal dynamics. However, it did not significantly correlate with the CIB scores. Our findings suggest that focusing on head movement using CWT can effectively capture critical elements of interpersonal synchrony linked to interaction quality. In contrast, despite its richness, the more complex GCWT approach may not align as closely with observed interactive behaviors as the CIB scores indicate. This study underscores the need to balance methodological complexity and ecological validity in research, offering insights into selecting analytical techniques based on research objectives and the nuances of interpersonal dynamics. Our results contribute to the field of interpersonal synchrony research, emphasizing the benefits of efficient methods in understanding mother-child interactions and interaction relationships in general.

This paper introduces a new database of eye-tracking data on English derived words, DerLex. A total of 598 unique derived suffixed words were embedded in sentences and read by 357 participants representing both university convenience pools and community pools of non-college-bound adults. Besides the eye-movement record of reading derived suffixed words, the DerLex database provides the author recognition test (ART) scores for each participant, tapping into their reading proficiency, as well as multiple lexical variables reflecting distributional, orthographic, phonological, and semantic features of the words, their constituent morphemes, and morphological families. The paper additionally reports the main effects of select lexical variables and their interactions with the ART scores. It also produces estimates of statistical power and sample sizes required to reliably detect those lexical effects. While some effects are robust and can be readily detected even in a small-scale typical experiment, the over-powered DerLex database does not offer sufficient power to detect many other effects-including those of theoretical importance for existing accounts of morphological processing. We believe that both the availability of the new data resource and the limitations it provides for the planning and design of upcoming experiments are useful for future research on morphological complexity.