Behavior Research Methods最新文献_第4页

BriDGE the gap: Improving behavioral research by integrating DAGs and GAMs into experiments. 弥合差距：通过将dag和GAMs整合到实验中来改进行为研究。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-23 DOI: 10.3758/s13428-026-03146-2

Giuseppe Alessandro Veltri, Sanchayan Banerjee

{"title":"BriDGE the gap: Improving behavioral research by integrating DAGs and GAMs into experiments.","authors":"Giuseppe Alessandro Veltri, Sanchayan Banerjee","doi":"10.3758/s13428-026-03146-2","DOIUrl":"10.3758/s13428-026-03146-2","url":null,"abstract":"Understanding the mechanisms through which behavioral interventions work remains a critical challenge in behavioral science. While randomized controlled trials (RCTs) provide reliable evidence for intervention efficacy, they are seldom designed to reveal the underlying causal pathways that drive observed outcomes. We introduce a comprehensive data-driven methodological protocol - BriDGE - that combines advanced causal inference techniques, such as directed acyclic graphs (DAGs), causal discovery algorithms, and generalized additive models (GAMs), to enhance mechanistic insights in behavioral applications. BriDGE modifies conventional experimental analysis with a stepwise approach including DAG-based hypothesis formulation, modeling of nonlinear relationships with GAMs, and detailed mediation analysis. Using bootstrapping and sensitivity checks, BriDGE ensures robust and reliable detection of both direct and indirect effects. We use a simulation study to validate BriDGE's ability to identify complex causal mechanisms, offering researchers a robust framework for deepening understanding of causal mechanisms and optimizing intervention design. To support adoption, we additionally provide practical guidance on mediator dimensionality, computational feasibility, and simulation-based power planning, including benchmarking templates implemented in the accompanying code. There are natural limitations of BriDGE - we discuss their implications when applied to public policy. We call for a greater integration of these methods in the toolkit of applied policy analysis to bridge the gap from \"what works\" to \"why and how it works\". We also release BriDGE, an open-source R package that implements the workflow to facilitate adoption and reproducibility.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 11","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13601132/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149029821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Disentangling substantive and method variance in mixed-worded scales: An empirical application of the random intercept item factor analysis (RIIFA). 解混词量表的实质和方法差异：随机截距项目因子分析（RIIFA）的实证应用。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-23 DOI: 10.3758/s13428-026-03163-1

Palmira Faraci, Giuliana Nasonte

{"title":"Disentangling substantive and method variance in mixed-worded scales: An empirical application of the random intercept item factor analysis (RIIFA).","authors":"Palmira Faraci, Giuliana Nasonte","doi":"10.3758/s13428-026-03163-1","DOIUrl":"https://doi.org/10.3758/s13428-026-03163-1","url":null,"abstract":"Addressing method variance in mixed-worded scales poses a persistent challenge in psychometric research. This study evaluates the effectiveness of the random intercept item factor analysis (RIIFA) in distinguishing substantive variance from method variance, specifically the wording effect, using the Short Grit Scale (Grit-S) as an applied example. Two independent UK samples were analyzed using exploratory graph analysis (EGA), parallel analysis (PA), and confirmatory factor analysis (CFA) with and without a random intercept factor. Traditional dimensionality assessment methods and RIIFA-based counterparts were compared to evaluate their ability to control for spurious factor emergence due to the wording effect. Consistent with our hypotheses, Study 1 (N = 977) confirmed that traditional retention methods overestimated the number of factors, whereas RIIFA techniques provided unidimensional and more stable solutions, as supported by bootstrap analyses. Study 2 (N = 496) showed that the CFA model incorporating a random intercept factor achieved the best balance between parsimony and fit (root mean square error of approximation [RMSEA] = .048 [.022-.072]; comparative fit index [CFI] = .984; Tucker-Lewis index [TLI] = .974; standardized root mean square residual [SRMR] = .027), while yielding a hierarchical omega of .84. These findings indicate that RIIFA reallocates the explained variance, mitigating artificial bidimensionality and enhancing the structural validity of the scale. RIIFA offers a robust psychometric solution for handling method variance in mixed-worded scales, improving latent structure interpretability. In sum, we recommend its application in cases where wording effects threaten the validity of psychometric measurements.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 11","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149029824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Creating and validating photorealistic AI-generated facial expression stimuli for emotion research. 为情感研究创建和验证逼真的人工智能生成的面部表情刺激。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-22 DOI: 10.3758/s13428-026-03156-0

Shlomo Hareli, Shlomo David

{"title":"Creating and validating photorealistic AI-generated facial expression stimuli for emotion research.","authors":"Shlomo Hareli, Shlomo David","doi":"10.3758/s13428-026-03156-0","DOIUrl":"10.3758/s13428-026-03156-0","url":null,"abstract":"The development of AI-generated facial expression stimuli offers researchers unprecedented control over stimulus characteristics while maintaining photorealistic quality. However, rigorous validation methodologies are essential to ensure these stimuli function effectively in behavioral research. This paper presents a comprehensive three-study validation framework for AI-generated facial expression stimuli that systematically varied body weight and emotional expressions. Study 1 validated 72 stimuli across three emotions (happiness, sadness, neutrality) and three weight categories using both computational and human validation approaches. Study 2 extended this framework to include anger as a fourth emotion while controlling for individual facial features through same-character methodology. Study 2b further assessed valence, intensity, naturalness, authenticity, and non-focal emotion ratings of the same stimuli from Study 2. Across studies, the stimuli demonstrated successful emotion and weight manipulations, with AI-generated images achieving photorealistic quality that participants could not reliably distinguish from real photographs. Computational validation showed high intended-emotion likelihood in Py-Feat, while human validation confirmed appropriate perception of the target emotions, body weight, realism, age, and broader expression-quality dimensions. This dual validation approach-combining automated computational assessment with human behavioral validation-provides a robust framework for ensuring AI-generated stimuli meet research standards. The methodology offers significant advantages for behavioral research, enabling precise control over stimulus characteristics while maintaining ecological validity and addressing ethical considerations in stimulus development.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 11","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149023653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The English Pseudoword Lexicon Project (EPLeP): A resource for investigating pseudoword processing. 英语假词词典计划（EPLeP）：一个研究假词处理的资源。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-22 DOI: 10.3758/s13428-026-03151-5

Fabio Marson, Rolando Bonandrini, Iva Šaban, Simona Amenta, Marco Marelli

{"title":"The English Pseudoword Lexicon Project (EPLeP): A resource for investigating pseudoword processing.","authors":"Fabio Marson, Rolando Bonandrini, Iva Šaban, Simona Amenta, Marco Marelli","doi":"10.3758/s13428-026-03151-5","DOIUrl":"10.3758/s13428-026-03151-5","url":null,"abstract":"In recent years, psycholinguistics has seen an increase in research focused on the processing of written stimuli that are not attested in the lexicon of a given language. We introduce the English Pseudoword Lexicon Project (EPLeP), a new database of lexical decision data for English pseudowords, nonwords, and words. While large-scale behavioral data have been collected for lexical and non-lexical items in English and other languages, none of these datasets have specifically focused on pseudowords. The EPLeP database fills this gap by considering three types of English-like non-lexical stimuli: (1) morphologically simple pseudowords generated from existing English words; (2) morphologically complex pseudowords obtained by combining existing stems and existing suffixes; and (3) nonwords, not following English graphotactics. This registered report provides an extensive overview of the steps adopted in producing non-lexical stimuli and the criteria for their selection. We collected data for almost 13,500 non-lexical and 4,400 lexical stimuli from 1,416 English-speaking participants across four online studies. Analyses of behavioral responses show that morphologically complex pseudowords trigger the deepest level of processing, whereas nonwords elicit the shallowest processing, reflecting a crucial difference in how these stimuli affect responses to words. This database will be a valuable tool for researchers interested in both pseudoword and word processing, enabling them to evaluate hypotheses by analyzing the collected behavioral data or using them to select stimuli for future studies. The Stage 1 protocol was accepted in principle on July 4, 2025 ( https://osf.io/cz9rh/ ).","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 11","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597635/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149023718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CoGrid & the Multi-User Gymnasium: A framework for multi-agent experimentation. CoGrid &多用户体育馆：多智能体实验的框架。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-21 DOI: 10.3758/s13428-026-03078-x

Chase McDonald, Cleotilde Gonzalez

{"title":"CoGrid & the Multi-User Gymnasium: A framework for multi-agent experimentation.","authors":"Chase McDonald, Cleotilde Gonzalez","doi":"10.3758/s13428-026-03078-x","DOIUrl":"10.3758/s13428-026-03078-x","url":null,"abstract":"The increasing integration of artificial intelligence (AI) in everyday life brings with it new challenges and questions regarding how humans interact with autonomous agents. Multi-agent experiments, where humans and AI act together, can offer important opportunities to study social decision-making, but there is a lack of accessible tooling available to researchers to run such experiments. We introduce two tools designed to reduce these barriers. The first, COGRID, is a multi-agent grid-based simulation library with dual NumPy and JAX backends. The second, Multi-User Gymnasium (MUG), translates such simulation environments directly into interactive web-based experiments. MUG supports interactions with arbitrary numbers of humans and AI, utilizing either server-authoritative or peer-to-peer networking with rollback netcode to account for latency. Together, these tools can enable researchers to deploy studies of human-AI interaction, facilitating inquiry into core questions of psychology, cognition, and decision-making, and their relationship to human-AI interaction. Both tools are open source and available to the broader research community. Documentation and source code is available at {cogrid, multi-user-gymnasium}.readthedocs.io. This paper details the functionality of these tools and presents several case studies to illustrate their utility in human-AI multi-agent experimentation.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 11","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13593629/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149015510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The MultiSOCIAL Toolbox: An open-source toolkit for advancing multimodal interaction research. MultiSOCIAL工具箱：一个用于推进多模式交互研究的开源工具箱。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-18 DOI: 10.3758/s13428-026-03176-w

Veronica Romero, Tahiya Chowdhury, Alexandra Paxton, Muneeb Nafees

{"title":"The MultiSOCIAL Toolbox: An open-source toolkit for advancing multimodal interaction research.","authors":"Veronica Romero, Tahiya Chowdhury, Alexandra Paxton, Muneeb Nafees","doi":"10.3758/s13428-026-03176-w","DOIUrl":"10.3758/s13428-026-03176-w","url":null,"abstract":"Human interaction is intrinsically multimodal, in that it unfolds across different kinds of behaviors (or modalities). However, many researchers have found it difficult to systematically investigate the richness of multimodal communication due to its theoretical and technical complexity. To help overcome some of the technical hurdles, we introduce an open-source single-platform solution: the MultiSOCIAL (Multimodal timeSeries Open-SourCe Interaction Analysis Library) Toolbox. The Toolbox enables any researcher who has video files to extract time-series data in three modalities: body movement to quantify non-verbal behavior through a pose estimation algorithm; transcripts of what was said during an interaction through the use of an automatic speech recognition system; and acoustic prosodic characteristics of speech through the use of audio signal processing. The toolkit uses existing gold-standard open-source tools, and we have brought them together in a freely available graphical user interface (GUI) that requires no coding and runs exclusively on the user's machine. To provide a concrete use-case, we present an analysis of a new dataset collected by undergraduate students as part of a seminar class. Here, we specifically analyze the movement data from the study to exemplify the complexity available in video data from just one modality. We find that friends show higher interpersonal bodily coordination than strangers and that this coordination is both more stable and more complex throughout a simple affiliative conversation. We end with some practical recommendations for using the Toolbox, including how to best set up experiments to get the most accurate data possible to maximize data quality.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13588923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149001207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A systematic scoping review identifying effective virtual reality stress tasks inducing physiological reactivity for future wearables validation. 一项系统的范围审查，确定有效的虚拟现实压力任务，为未来的可穿戴设备验证诱导生理反应。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-18 DOI: 10.3758/s13428-026-03161-3

Magdalena Sikora, Xiaochang Zhao, Jan-Willem van 't Klooster, Zeynep Koyuncu, Eco de Geus, Matthijs Noordzij

{"title":"A systematic scoping review identifying effective virtual reality stress tasks inducing physiological reactivity for future wearables validation.","authors":"Magdalena Sikora, Xiaochang Zhao, Jan-Willem van 't Klooster, Zeynep Koyuncu, Eco de Geus, Matthijs Noordzij","doi":"10.3758/s13428-026-03161-3","DOIUrl":"10.3758/s13428-026-03161-3","url":null,"abstract":"Efficient and ecologically sound validation of wearables remains a major challenge in stress research. Virtual reality (VR) could support this by providing standardized, immersive stress induction, but the field lacks a comprehensive and exhaustive overview of which VR tasks reliably evoke physiological stress responses. This review delivers a systematic comparison of VR stressors, mapping 11 tasks into three core stressor categories (social-evaluative, environmental, and cognitive) and offers a synthesis of their effectiveness, methodological characteristics, and suitability for VR-based wearables validation. We examined VR's effectiveness for physiological stress elicitation, both qualitatively with the focus on task design and quantitatively through available effect sizes of responses. We observed high heterogeneity in stressor design and measurement methods, with the VR Trier Social Stress Test (VR-TSST) and the high-altitude task emerging as most promising VR stressors. Although several studies incorporated wearables, proving feasibility of such setups, none used VR explicitly for validating them. This review supports the use of VR for stress elicitation and for validation of wearable devices. It also enables informed stressor selection and VR study design while highlighting the existing gaps and future directions.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13588882/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149001302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extending standardized speech analysis across languages: An Italian toolkit for transcription and coding of neurological speech. 跨语言扩展标准化语音分析：一个用于神经语音转录和编码的意大利语工具包。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-14 DOI: 10.3758/s13428-026-03175-x

Allegra Benzini, Alyssa M Lanzi, Cinzia Palmirotta, Simona Aresta, Petronilla Battista, Gaia C Santi

{"title":"Extending standardized speech analysis across languages: An Italian toolkit for transcription and coding of neurological speech.","authors":"Allegra Benzini, Alyssa M Lanzi, Cinzia Palmirotta, Simona Aresta, Petronilla Battista, Gaia C Santi","doi":"10.3758/s13428-026-03175-x","DOIUrl":"10.3758/s13428-026-03175-x","url":null,"abstract":"Speech and language analysis plays a central role in assessing adult neurological disorders, providing sensitive markers across clinical populations to support diagnosis. Standardized transcription and coding systems are essential to ensure reproducible analyses and enable comparisons across studies and languages. However, practical guidance on adapting such systems for non-English speakers remains limited. This work presents a structured toolkit for adapting speech and language transcription and coding conventions of adult speakers with neurological disorders from English to Italian. The adaptation builds on the CHAT conventions developed within the TalkBank framework. It follows the guiding principles of clarity, readability, and efficiency of data entry, while ensuring linguistic appropriateness for Italian. Original commands and coding options were systematically evaluated and then retained, modified, excluded, or added as needed, with the majority of changes in the coding process reflecting Italian-specific phonetic-phonological and morphosyntactic norms and typical impairment of aphasic production. Beyond providing a ready-to-use Italian manual, this toolkit defines a transparent and replicable framework for cross-linguistic adaptation. The manual was designed as a flexible resource in which users can select coding options guided by specific goals, allowing them to focus on relevant linguistic features at the word or sentence level or across different linguistic domains. By providing linguistically grounded conventions compatible with the TalkBank framework, the Italian Toolkit supports clinically meaningful speech analysis in Italian-speaking adults, and it offers a methodological model for extending standardized annotation systems to other languages.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13574730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148966397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emotion in English as a foreign language: Affective ratings for over 2,000 words by college learners. 英语作为外语的情感：大学学习者对2000多个单词的情感评分。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-10 DOI: 10.3758/s13428-026-03159-x

Beatriz Bermúdez-Margaretto, Elisa Pérez-García, Angel Fernandez, María Jesús Sánchez

{"title":"Emotion in English as a foreign language: Affective ratings for over 2,000 words by college learners.","authors":"Beatriz Bermúdez-Margaretto, Elisa Pérez-García, Angel Fernandez, María Jesús Sánchez","doi":"10.3758/s13428-026-03159-x","DOIUrl":"10.3758/s13428-026-03159-x","url":null,"abstract":"Previous research has consistently shown differences in emotional processing between monolingual and bilingual speakers, highlighting the importance of specific standardized affective norms for studying emotional language processing in different linguistic environments. However, whereas native speaker norms of emotional dimensions are generally well established, this work is scarce in bilinguals and even more rare in populations whose second language exposure and use are circumscribed to formal, instructional contexts. The main goal of this study was to collect affective ratings for a large set of English words in a representative and homogeneous sample of instructional-setting learners of English as a foreign language (EFL). Valence and arousal indexes were obtained from more than 600 Spanish college students of EFL. Reliability and external validity analyses for both dimensions indicated valid psychometric properties for this database. Direct comparisons between the present EFL affective norms and those obtained from immersed-English students who learned English as an additional language (EAL) and English native speakers (L1) revealed interesting patterns of emotional word processing across linguistic contexts, underscoring the differential influence of immersive and formal learning environments in affective processing. Interestingly, the L1-EFL discrepancy increased as a function of affective, lexical, and sensory experience factors, and was particularly high in the arousal dimension, pointing to the important role that emotional intensity might play in the acquisition and use of emotional language. Overall, these affective norms might constitute a useful research tool to study emotional processing in EFL populations, and relevant in applied and educational contexts for the development of teaching strategies.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148928994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toolkit for acoustic-phonetic analysis of naturalistic speech data. 自然语音数据的声学-语音分析工具包。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-09-09 DOI: 10.3758/s13428-026-03174-y

Ethan Kutlu, Emerson Peters, Ciara Tapanes, Sarmad Chandio, Osama Khalid

{"title":"Toolkit for acoustic-phonetic analysis of naturalistic speech data.","authors":"Ethan Kutlu, Emerson Peters, Ciara Tapanes, Sarmad Chandio, Osama Khalid","doi":"10.3758/s13428-026-03174-y","DOIUrl":"10.3758/s13428-026-03174-y","url":null,"abstract":"A major limitation in the speech sciences is access to naturalistic data in experimental settings and the difficulty of translating laboratory designs to real-world contexts. Researchers studying speech production or perception often rely on in-lab recordings, which constrain the sociolinguistic contexts examined and limit ecological validity. The Toolkit for Acoustic-Phonetic Analysis (TAPA) is an open-source pipeline that automates the acquisition, transcription, speaker diarization, forced alignment, and per-segment acoustic analysis of naturalistic, single/multi-speaker audio. The current release supports vowel formant extraction, stop voice onset time, and fricative spectral moments. We demonstrate TAPA on the 2016 U.S. presidential debate, extracting nearly 33,000 segments from a 90-min recording, and validate each measurement type against hand-coded annotation. Vowel formant agreement with expert measurements was high (F1 r = 0.89, F2 r = 0.87). Stop VOT showed reliable aggregate means but poor per-token agreement (r = - 0.04) because of a training-deployment mismatch in the neural VOT classifier. Fricative spectral standard deviation agreed strongly with hand-coded values overall (r = 0.80), and center of gravity agreed strongly for sibilants (/s/ r = 0.87, /ʃ/ r = 0.94), while non-sibilant moments diverged systematically. These findings suggest that TAPA can be used to increase access to naturalistic speech data and speed up the processing timeline with experts' supervision.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13558450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148918299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0