Movement tracking of psychological processes: A tutorial using mousetrap

Wulff, Dirk U.; Kieslich, Pascal J.; Henninger, Felix; Haslbeck, Jonas M B; Schulte‐Mecklenbeck, Michael

doi:10.31234/osf.io/v685r

Cited by 27 publications

(39 citation statements)

References 81 publications

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“…Within each group, sampling ( n = 36, to match approximately the number of our data points) was done with replacement, with 1,001 iterations. Bimodality tests were conducted with R using the function bimodality_coefficient in the mousetrap package ( Wulff et al, 2021 ). Logistic regression was conducted with the R glm function.…”

Section: Methodsmentioning

confidence: 99%

Testing effects of trigeminal stimulation on binary odor mixture quality in rats

Lee²,

Kay³

2023

Front. Neurosci.

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Prior attempts at forming theoretical predictions regarding the quality of binary odor mixtures have failed to find any consistent predictor for overshadowing of one component in a binary mixture by the other. We test here the hypothesis that trigeminality contributes to overshadowing effects in binary mixture perception. Most odorants stimulate the trigeminal nerve in the nasal sensory epithelium. In the current study we test rats’ ability to detect component odorants in four binary odor sets chosen for their relative trigeminality. We predicted that the difference in trigeminal intensity would predict the degree of overshadowing by boosting or suppressing perceptual intensity of these odorants during learning or during mixture perception. We used a two-alternative choice (TAC) task in which rats were trained to recognize the two components of each mixture and tested on a range of mixtures of the two without reinforcement. We found that even though odorant concentrations were adjusted to balance volatility, all odor sets produced asymmetric psychometric curves. Odor pairs with the greatest difference in trigeminality showed overshadowing by the odorant with weaker trigeminal properties. Odor sets with more evenly matched trigeminal properties also showed asymmetry that was not predicted by either small differences in volatility or trigeminality. Thus, trigeminal properties may influence overshadowing in odor mixtures, but other factors are also likely involved. These mixed results further support the need to test each odor mixture to determine its odor quality and underscore recent results at the level of olfactory receptor neurons that show massive and unpredictable inhibition among odorants in complex mixtures.

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Section: Methodsmentioning

confidence: 99%

Testing effects of trigeminal stimulation on binary odor mixture quality in rats

Lee²,

Kay³

2023

Front. Neurosci.

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“…For each choice, we computed the AUC (difference between the actual and a straight trajectory between the starting point and selected image) and the number of y-axis crossings using the mousetrap R package (54). Food choice trials were selected for analysis following standard recommendations for data quality (41, 55).…”

Section: Data Analysis 271 Data Preparationmentioning

confidence: 99%

Eating contexts determine the efficacy of nutrient warning labels to promote healthy food choices

et al. 2023

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IntroductionUnhealthy food choices increase the risk of obesity and its co-morbidities. Nutrition labels are a public health policy that aims to drive individuals toward healthier food choices. Chile has been an example of this policy, where mandatory nutrient warning labels (NWL) identify processed foods high in calories and critical nutrients. Eating contexts influence individual food choices, but whether eating contexts also influence how NWL alter the decision process and selection during food choice is unknown.MethodsIn an online mouse-tracking study, participants prompted to health, typical, or unrestricted eating contexts were instructed to choose between pairs of foods in the presence or absence of NWL. Conflict during choices was analyzed using mouse paths and reaction times.ResultsNWL increased conflict during unhealthy food choices and reduced conflict during healthy choices in all contexts. However, the probability that NWL reversed an unhealthy choice was 80% in a healthy, 37% in a typical, and 19% in an unrestricted context. A drift-diffusion model analysis showed the effects of NWL on choice were associated with an increased bias toward healthier foods in the healthy and typical but not in the unrestricted context.DiscussionThese data suggest that the efficacy of NWL to drive healthy food choices increases in a healthy eating context, whereas NWL are less effective in typical or unrestricted eating contexts.

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“…The main logic is that when one (finally chosen) alternative dominates another (unchosen) alternative, the mouse trajectory should move toward the selected alternative, and vice versa (e.g., 23). Although mouse tracking studies have proposed many indicators (e.g., 20,32), we focused on the following indicators that matched our interests. Maximum velocity time.…”

Section: General Information (Common To All Groups)mentioning

confidence: 99%

“…Mouse trajectory prototypes. According to (32), we categorized participants' mouse trajectories into the following three prototypes ‡ for each trial (Figure 4B; for details, see SI Appendix): Straight, Curved, and Change of Mind (CoM). This approach can reveal implicit cognitive processes during choice behaviors.…”

Section: General Information (Common To All Groups)mentioning

confidence: 99%

“…In that case, it is implied that the inserted time contributed to reducing participants' initial impulsive (sometimes wrong) judgments. Note that these trajectory prototypes cannot perfectly capture all kinds of trajectories but can widely explain cognitive processes during choice behaviors in most cases (32). In the analyses, we categorized the trajectories in each trial into these three prototypes and compared each prototype's count data between the groups (count data was the dependent variable; group was the independent variable).…”

Section: General Information (Common To All Groups)mentioning

confidence: 99%

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“One-second wait”: A simple and effective intervention to boost judgment accuracy

Shirasuna¹,

Kagawa²,

Honda³

2023

Preprint

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Today, an increasing number of people work online. However, they are often separated from each other or often drop out of tasks due to workload, and sometimes do not perform the task well (e.g., making incorrect judgments). Therefore, there is a growing need for an intervention to ensure the job performance of distributed workers. In this study, we propose a simple and cost-effective intervention to improve judgment accuracy, namely, making people wait for one second at the beginning of a task. We examined whether inserting a short time (e.g., one second) during which people cannot respond to a task enhances an appropriate allocation of cognitive resources into thinking tasks. Through behavioral experiments using a perceptual binary-choice task, we found that participants who waited for 1s showed higher accuracy than those assigned to a control group (i.e., waited for 0s) and felt less mental workload than those who waited for 2.5s. Furthermore, analyses of mouse trajectories during choice behaviors revealed that a waiting time helped participants avoid impulsive or “straight” movements. These results suggest that waiting for one second is an effective intervention to boost people’s competence regarding judgments. We believe that our proposed intervention can be applied in various fields because of its simplicity.

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Movement tracking of psychological processes: A tutorial using mousetrap

Cited by 27 publications

References 81 publications

Testing effects of trigeminal stimulation on binary odor mixture quality in rats

Testing effects of trigeminal stimulation on binary odor mixture quality in rats

Eating contexts determine the efficacy of nutrient warning labels to promote healthy food choices

“One-second wait”: A simple and effective intervention to boost judgment accuracy

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