Action dynamics reveal two types of cognitive flexibility in a homonym relatedness judgment task

Dshemuchadse, Maja; Grage, Tobias; Scherbaum, Stefan

doi:10.3389/fpsyg.2015.01244

Cited by 12 publications

(9 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Simon task produces relatively robust experimental effects and hence all dynamic effects were present in both starting conditionsthough they were much smaller and temporally compressed in the static starting condition. However, more subtle effects, for example, in value-based decision making (Dshemuchadse et al, 2013;Scherbaum et al, 2016) or semantic judgments (Dshemuchadse et al, 2015) might be more strongly affected when one studies them using a static starting condition, especially with within-trial continuous measures.…”

Section: Discussionmentioning

confidence: 99%

“…The advantages of mouse-tracking are manifold: the hardware is cheap, mouse movement measuring can be implemented in most experimental software, and most participants are highly familiar with moving a computer mouse. Hence, mousetracking flourished in recent years (for a review, see Freeman, Dale, & Farmer, 2011), finding application in studies of language and semantic processing (Dale, Kehoe, & Spivey, 2007;Dshemuchadse, Grage, & Scherbaum, 2015;Spivey et al, 2005), conflict resolution (Scherbaum, Dshemuchadse, Fischer, & Goschke, 2010), and value-based decision making Kieslich & Hilbig, 2014;Koop & Johnson, 2013;Scherbaum, Dshemuchadse, Leiberg, & Goschke, 2013;van Rooij, Favela, Malone, & Richardson, 2013).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Stuck at the starting line: How the starting procedure influences mouse-tracking data

Scherbaum

Kieslich

2017

Behav Res

Self Cite

View full text Add to dashboard Cite

Mouse-tracking is an increasingly popular method to trace cognitive processes. As is common for a novel method, the exact methodological procedures employed in an individual study are still relatively idiosyncratic and the effects of different methodological setups on mouse-tracking measures have not been explored so far. Here, we study the impact of one commonly occurring methodological variation, namely whether participants have to initiate their mouse movements to trigger stimulus presentation (dynamic starting condition) or whether the stimulus is presented automatically after a fixed delay and participants can freely decide when to initiate their movements (static starting condition). We compared data from a previous study in which participants performed a mouse-tracking version of a Simon task with a dynamic starting condition to data from a new study that employed a static starting condition in an otherwise identical setup. Results showed reliable Simon effects and Congruency Sequence effects on response time (RT) and discrete trial-level mouse-tracking measures (i.e., average deviation) in both starting conditions. In contrast, within-trial continuous measures (i.e., extracted temporal segments) were weaker and occurred in a more temporally compressed way in the static compared to the dynamic starting condition. This was in line with generally less consistent movements within and across participants in the static compared to the dynamic condition. Our results suggest that studies that use within-trial continuous measures to assess dynamic aspects of mouse movements should apply dynamic starting procedures to enhance the leakage of cognitive processing into the mouse movements.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Stuck at the starting line: How the starting procedure influences mouse-tracking data

Scherbaum

Kieslich

2017

Behav Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hence, in the last ten years, mouse-tracking flourished in many fields of psychological research (for a review, see Erb, 2018;Freeman, 2018;Freeman, Dale, & Farmer, 2011), finding applications in studies of phonological and semantic processing (Dale et al, 2007;Dshemuchadse, Grage, & Scherbaum, 2015;Spivey et al, 2005), cognitive control (Dignath, Pfister, Eder, Kiesel, & Kunde, 2014;Scherbaum, Dshemuchadse, Fischer, & Goschke, 2010;Yamamoto, Incera, & McLennan, 2016), selective attention (Frisch, Dshemuchadse, Görner, Goschke, & Scherbaum, 2015), numerical cognition (Szaszi, Palfi, Szollosi, Kieslich, & Aczel, 2018), perceptual choices (Quinton, Volpi, Barca, & Pezzulo, 2014), moral decisions (Koop, 2013), preferential choices (Koop & Johnson, 2013;O'Hora, Dale, Piiroinen, & Connolly, 2013), lexical decisions (Barca & Pezzulo, 2012, 2015, and value-based decisions (Calluso, Committeri, Pezzulo, Lepora, & Tosoni, 2015;Dshemuchadse et al, 2013;Kieslich & Hilbig, 2014;Koop & Johnson, 2011;O'Hora, Carey, Kervick, Crowley, & Dabrowski, 2016;Scherbaum et al, 2016;Scherbaum, Dshemuchadse, Leiberg, & Goschke, 2013;Scherbaum, Frisch, & Dshemuchadse, 2018b, 2018avan Rooij, Favela, Malone, & Richardson, 2013).…”

Section: Mouse-tracking As a Process-tracing Methodsmentioning

confidence: 99%

Validating Mouse-Tracking: How Design Factors Influence Action Dynamics in Intertemporal Decision Making

Schoemann¹,

Lüken²,

Grage³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Mouse-tracking is an increasingly popular process-tracing method. It builds on the assumption that the continuity of cognitive processing leaks into the continuity of mouse movements. As this assumption is the prerequisite for a meaningful reverse inference, it is an important question whether the assumed interaction between continuous processing and movement might be influenced by the methodological setup of the measurement. Here, we study the impact of three commonly occurring methodological variations on the quality of mouse-tracking measures, and hence, the reported cognitive effects. We used a mouse-tracking version of a classical intertemporal choice task that had previously been used to examine the dynamics of temporal discounting and the date-delay effect (Dshemuchadse, Scherbaum, & Goschke, 2013). The data from this previous study also served as a benchmark condition in our experimental design. Between studies, we varied the starting procedure. Within the new study, we varied the response procedure and the stimuli position. The starting procedure had the strongest influence on common mouse-tracking measures and therefore the cognitive effects. The effect of the response procedure and the stimuli position was weaker and less pronounced. The results suggest that the methodological setup crucially influences the interaction between continuous processing and mouse movement. We conclude that the methodological setup is of high importance for the validity of mouse-tracking as a process-tracing method. Finally, we discuss the need for standardized mouse-tracking setups for which we provide recommendations, and present two promising lines of research to obtain an evidence-based gold standard of mouse-tracking.

show abstract

“…In contrast, incongruent trials led to a competing activation of both units which induced delayed responses. This pattern also reflects the primary outcome of standard cognitive tasks measuring cognitive flexibility, for example in flanker-tasks [49] or homonym judgement tasks [50], where a small congruency cost suggests a high level of cognitive flexibility. Second, we tested whether the inhibition between both units would lead to a reduced activation of the PP which, according to the model, should facilitate handling unexpected events.…”

Section: Main Findingsmentioning

confidence: 79%

An approach to social flexibility: Congruency effects during spontaneous word-by-word interaction

et al. 2020

Self Cite

View full text Add to dashboard Cite

Cognitive flexibility is the ability to switch between different concepts or to adapt goal-directed behavior in a changing environment. Although, cognitive research on this ability has long been focused on the individual mind, it is becoming increasingly clear that cognitive flexibility plays a central role in our social life. This is particularly evident in turn-taking in verbal conversation, where cognitive flexibility of the individual becomes part of social flexibility in the dyadic interaction. In this work, we introduce a model that reveals different parameters that explain how people flexibly handle unexpected events in verbal conversation. In order to study hypotheses derived from the model, we use a novel experimental approach in which thirty pairs of participants engaged in a word-byword interaction by taking turns in generating sentences word by word. Similar to well established individual cognitive tasks, participants needed to adapt their behavior in order to respond to their co-actor's last utterance. With our experimental approach we could manipulate the interaction between participants: Either both participants had to construct a sentence with a common target word (congruent condition) or with distinct target words (incongruent condition). We further studied the relation between the interactive Word-byWord task measures and classical individual-centered, cognitive tasks, namely the Number-Letter task, the Stop-Signal task, and the GoNogo task. In the Word-byWord task, we found that participants had faster response times in congruent compared to incongruent trials, which replicates the primary findings of standard cognitive tasks measuring cognitive flexibility. Further, we found a significant correlation between the performance in the Word-byWord task and the Stop-Signal task indicating that participants with a high cognitive flexibility in the Word-byWord task also showed high inhibition control.

show abstract

Action dynamics reveal two types of cognitive flexibility in a homonym relatedness judgment task

Cited by 12 publications

References 42 publications

Stuck at the starting line: How the starting procedure influences mouse-tracking data

Stuck at the starting line: How the starting procedure influences mouse-tracking data

Validating Mouse-Tracking: How Design Factors Influence Action Dynamics in Intertemporal Decision Making

An approach to social flexibility: Congruency effects during spontaneous word-by-word interaction

Contact Info

Product

Resources

About