RTbox: A device for highly accurate response time measurements

Li, Xiangrui; Liang, Zhen; Kleiner, Mendel; Lü, Zhong-Lin

doi:10.3758/brm.42.1.212

Cited by 105 publications

(93 citation statements)

References 16 publications

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“…Alguns autores destacam que a falta de padronização nos testes, tanto em relação à tarefa quanto ao estímulo, dificulta uma análise mais refinada das tendências do TR [22][23][24][25] .…”

Section: Discussionunclassified

Contribuições de testes de tempo de reação para avaliações do comportamento motor e da saúde: software E-Prime®

Crocetta

Andrade

2014

ABCS Health Sci.

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Este estudo analisou a produção científica relacionada ao uso de softwares de tempo de reação (TR), identificando o mais utilizado e descrevendo a temática dos estudos que fizeram uso deste software, a partir de artigos publicados na base de dados ScienceDirect (de 2001 até 2013), por ser abrangente e cobrir as principais áreas de interesse no uso deste tipo de software. A partir das palavras "reaction time" e "computer ou software", identificou-se o software E-Prime ® como o mais utilizado, totalizando 11 artigos que foram selecionados para esta pesquisa. Os itens investigados foram: periódico, objetivo do estudo, amostra, área de aplicação ou especialidade, acessório utilizado para resposta, tipo de TR, descrição da tarefa e resultados. O periódico Appetite publicou dois artigos, as demais publicações ocorreram em periódicos distintos. Predominaram pesquisas com adultos saudáveis (n=5), com média de 57,6 participantes. Para registro da resposta, foi utilizado um acessório externo que acompanha o software. Quanto ao tema, foram identificados e apresentados resultados sobre análises da coordenação e planos motores (n=2), análises de transtornos relacionados ao uso de substâncias (n=2), transtornos da visão (n=1), análises no comportamento alimentar (n=2), o efeito da motivação sobre o desempenho no TR (n=1) e os transtornos da fala e da linguagem (n=2), além da avaliação dos distúrbios da atenção em Parkinsonianos (n=1). Os resultados demonstram a diversidade de aplicabilidade de estudos com tarefas de TR com o uso de apenas um software e a forte relação entre TR e medidas de saúde física e cognitiva.Palavras-chave: tempo de reação; software; transtornos das habilidades motoras. ABSTRACTThe study analyzed scientific production related to the use of reaction time software (RT), to identify the most used and describe the main issues of studies that have made use of this software published from 2001 to 2013 in the ScienceDirect electronic database, since this database is comprehensive and covers the main areas of interest with the use of this software. From the words "reaction time" and "computer or software", the E-Prime ® software was identified as the most used, totaling 11 articles, which were selected for the study. The items investigated were: journal, objective, sample, application area or specialty, accessory used to reply, RT type, task description and results. The Appetite journal published two articles; the other articles were published in different journals, with predominance of research with healthy adults (n=5) with 57.6 participants on average. To record response in the data collection, it was used an external accessory accompanying the software. In relation to the topic, the results of articles on the analyses of coordination and motor plans (n=2), analyses of disorders related to the use of substance (n=2), vision disorders (n=1), analyses of feeding behavior (n=2), effect of motivation on performance in RT (n=1), speech and language disorders (n=2), and evaluation of attention disorders in Parkins...

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Section: Discussionunclassified

Contribuições de testes de tempo de reação para avaliações do comportamento motor e da saúde: software E-Prime®

Crocetta

Andrade

2014

ABCS Health Sci.

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“…This problem was already tackled by Li et al (2010) in the development of their RTbox. Their software similarly sends a start trial signal to an external microprocessor and records time stamps right before and after that operation.…”

Section: Study 5: Estimating the Delay From Trial Initiation In E-primentioning

confidence: 99%

“…Unfortunately, we know of no empirical report on the precision of USBconnected response boxes except the work by Li, Liang, Kleiner, and Lu (2010) on their own device. They showed a remarkable precision below 1 ms in concert with MATLAB and the Psychophysics Toolbox software (Brainard, 1997).…”

Section: Keyboards and Response Boxesmentioning

confidence: 99%

“…It then transmits the difference as the response latency, and which response was given. This is the approach taken by the RTBox response box (Li et al, 2010).…”

Section: The Arduino Platformmentioning

confidence: 99%

“…This differs slightly from our approach so far, because on the E-Prime side, we analyzed only the time stamp before sending a signal, and on the microprocessor side, we reported back only the time difference. Li et al (2010) discussed three different methods for estimating the true moment of sending the signal from computer to microprocessor. Each relies on taking several samples (at least 20).…”

Section: Study 5: Estimating the Delay From Trial Initiation In E-primentioning

confidence: 99%

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Using Arduino microcontroller boards to measure response latencies

2013

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Latencies of buttonpresses are a staple of cognitive science paradigms. Often keyboards are employed to collect buttonpresses, but their imprecision and variability decreases test power and increases the risk of false positives. Response boxes and data acquisition cards are precise, but expensive and inflexible, alternatives. We propose using open-source Arduino microcontroller boards as an inexpensive and flexible alternative. These boards connect to standard experimental software using a USB connection and a virtual serial port, or by emulating a keyboard. In our solution, an Arduino measures response latencies after being signaled the start of a trial, and communicates the latency and response back to the PC over a USB connection. We demonstrated the reliability, robustness, and precision of this communication in six studies. Test measures confirmed that the error added to the measurement had an SD of less than 1 ms. Alternatively, emulation of a keyboard results in similarly precise measurement. The Arduino performs as well as a serial response box, and better than a keyboard. In addition, our setup allows for the flexible integration of other sensors, and even actuators, to extend the cognitive science toolbox.

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High‐throughput cognitive assessment using BrainTest.org: examining cognitive control in a family cohort

et al. 2013

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Introduction Understanding the relationship between brain and complex latent behavioral constructs like cognitive control will require an inordinate amount of data. Internet-based methods can rapidly and efficiently refine behavioral measures in very large samples that are needed for genetics and behavioral research. Cognitive control is a multifactorial latent construct that is considered to be an endophenotype in numerous neuropsychiatric disorders, including attention deficit/hyperactivity disorder (ADHD). While previous studies have demonstrated high correlations between Web- and lab-based scores, skepticism remains for its broad implementation. Methods Here, we promote a different approach by characterizing a completely Web-recruited and tested community family sample on measures of cognitive control. We examine the prevalence of attention deficit symptoms in an online community sample of adolescents, demonstrate familial correlations in cognitive control measures, and use construct validation techniques to validate our high-throughput assessment approach. Results A total of 1214 participants performed Web-based tests of cognitive control with over 200 parent–child pairs analyzed as part of the primary study aims. The data show a wide range of “subclinical” symptomatology in a web community sample of adolescents that supports a dimensional view of attention and also provide preliminary narrow-sense heritability estimates for commonly used working memory and response inhibition tests. Conclusions Finally, we show strong face and construct validity for these measures of cognitive control that generally exceeds the evidence required of new lab-based measures. We discuss these results and how broad implementation of this platform may allow us to uncover important brain–behavior relationships quickly and efficiently.

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RTbox: A device for highly accurate response time measurements

Cited by 105 publications

References 16 publications

Contribuições de testes de tempo de reação para avaliações do comportamento motor e da saúde: software E-Prime®

Contribuições de testes de tempo de reação para avaliações do comportamento motor e da saúde: software E-Prime®

Using Arduino microcontroller boards to measure response latencies

High‐throughput cognitive assessment using BrainTest.org: examining cognitive control in a family cohort

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