Ouvrai: Opening access to remote VR studies of human behavioral neuroscience

Cesanek, Evan; Shivkumar, Sabyasachi; Ingram, James N.; Wolpert, Daniel M.

doi:10.1101/2023.05.23.542017

Cited by 2 publications

(2 citation statements)

References 52 publications

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“…The experiment was created and managed using the open-source Ouvrai package 49 . The experiment was designed so that it could be completed only by individuals using the Google Chrome web browser in full-screen mode with pointer lock enabled on a computer with graphics hardware supporting WebGL.…”

Section: Methodsmentioning

confidence: 99%

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

Cesanek

Flanagan

Wolpert

2023

Sci Rep

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Nearly all tasks of daily life involve skilled object manipulation, and successful manipulation requires knowledge of object dynamics. We recently developed a motor learning paradigm that reveals the categorical organization of motor memories of object dynamics. When participants repeatedly lift a constant-density “family” of cylindrical objects that vary in size, and then an outlier object with a greater density is interleaved into the sequence of lifts, they often fail to learn the weight of the outlier, persistently treating it as a family member despite repeated errors. Here we examine eight factors (Similarity, Cardinality, Frequency, History, Structure, Stochasticity, Persistence, and Time Pressure) that could influence the formation and retrieval of category representations in the outlier paradigm. In our web-based task, participants (N = 240) anticipated object weights by stretching a virtual spring attached to the top of each object. Using Bayesian t-tests, we analyze the relative impact of each manipulated factor on categorical encoding (strengthen, weaken, or no effect). Our results suggest that category representations of object weight are automatic, rigid, and linear and, as a consequence, the key determinant of whether an outlier is encoded as a member of the family is its discriminability from the family members.

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Section: Methodsmentioning

confidence: 99%

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

Cesanek

Flanagan

Wolpert

2023

Sci Rep

Self Cite

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“…Within this context, the recent COVID-19 pandemic has increased the importance of non-face-to-face experiments, which has led to an increase in the number of remote experiments. Task programs for online reaching motor tasks (Tsay et al, 2020) and remote virtual reality (VR) motor tasks (Cesanek et al, 2023) using Firebase, a web application platform, were released as open source and used in motor learning research (Avraham et al, 2021; Tsay et al, 2022; Zhu et al, 2023). Remote experiments using web applications are an effective tool for bridging the gap between experiments using robotic manipulandum in the laboratory and general motor tasks outside the laboratory.…”

Section: Introductionmentioning

confidence: 99%

Augmenting visual errors or variability does not enhance motor learning in remote web application tasks

Nakano,

Murai

2024

Preprint

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Laboratory experiments employing robotic manipulandum are far from achieving their goal of helping people improve their motor learning. Remote experiments using web applications are an effective tool for bridging the gap between robotic manipulandum experiments in the laboratory and general motor tasks outside. However, the influence of interventions that increase error or variability in remote motor tasks on motor learning has not yet been determined. In this study, we aimed to elucidate the effects of interventions that visually increase errors and variability in remote experiments using web applications. In particular, 48 people participated in a web-based study on the cursor-manipulation of motor tasks using laptops. Three motor tasks (visuomotor-rotation reaching, virtual curling, and virtual ball-throwing tasks) were conducted, and each task consisted of 120 trials a day conducted for three days in this study. For each task, no intervention was provided on Day 1 and the intervention to augment motor error or variability was provided on Days 2 and 3. Differences between the groups in post-intervention test trials were examined using statistical analyses. Contrary to our expectations, the interventions of error-augmentation did not exhibit positive effects in Experiments 1 and 2, which could be attributed to a lack of haptic and proprioceptive information or inaccuracies in movement kinematics. In addition, the interventions of variability-augmentation did not exhibit positive effects in Experiment 3, which could be attributed to the complex dynamics in the relationship between perceived body movements and motor outcomes. Further research is required to identify the differences between the conditions when the interventions are effective or ineffective. Moreover, interventions must be developed to further improve general motor skills.

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Ouvrai: Opening access to remote VR studies of human behavioral neuroscience

Cited by 2 publications

References 52 publications

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

Augmenting visual errors or variability does not enhance motor learning in remote web application tasks

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