Gesturing during mental problem solving reduces eye movements, especially for individuals with lower visual working memory capacity

Non-communicative hand gestures have been found to benefit problem-solving performance. These gestures seem to compensate for limited internal cognitive capacities, such as visual working memory capacity. Yet, it is not clear how gestures might perform this cognitive function. One hypothesis is that gesturing is a means to spatially index mental simulations, thereby reducing the need for visually projecting the mental simulation onto the visual presentation of the task. If that hypothesis is correct, less eye movements should be made when participants gesture during problem solvin

Gesturing during mental problem solving reduces eye movements, especially for individuals with lower visual working memory capacity

Non-communicative hand gestures have been found to benefit problem-solving performance. These gestures seem to compensate for limited internal cognitive capacities, such as visual working memory capacity. Yet, it is not clear how gestures might perform this cognitive function. One hypothesis is that gesturing is a means to spatially index mental simulations, thereby reducing the need for visually projecting the mental simulation onto the visual presentation of the task. If that hypothesis is correct, less eye movements should be made when participants gesture during problem solving than when they do not gesture. We therefore used mobile eye tracking to investigate the effect of co-thought gesturing and visual working memory capacity on eye movements during mental solving of the Tower of Hanoi problem. Results revealed that gesturing indeed reduced the number of eye movements (lower saccade counts), especially for participants with a relatively lower visual working memory capacity. Subsequent problem-solving performance was not affected by having (not) gestured during the mental solving phase. The current findings suggest that our understanding of gestures in problem solving could be improved by taking into account eye movements during gesturing

Gesturing during mental problem solving reduces eye movements, especially for individuals with lower visual working memory capacity

Non-communicative hand gestures have been found to benefit problem-solving performance. These gestures seem to compensate for limited internal cognitive capacities, such as visual working memory capacity. Yet, it is not clear how gestures might perform this cognitive function. One hypothesis is that gesturing is a means to spatially index mental simulations, thereby reducing the need for visually projecting the mental simulation onto the visual presentation of the task. If that hypothesis is correct, less eye movements should be made when participants gesture during problem solving than when they do not gesture. We therefore used mobile eye tracking to investigate the effect of co-thought gesturing and visual working memory capacity on eye movements during mental solving of the Tower of Hanoi problem. Results revealed that gesturing indeed reduced the number of eye movements (lower saccade counts), especially for participants with a relatively lower visual working memory capacity. Subsequent problem-solving performance was not affected by having (not) gestured during the mental solving phase. The current findings suggest that our understanding of gestures in problem solving could be improved by taking into account eye movements during gesturing

Should learners use their hands for learning? Results from an eye‐tracking study

Given the widespread use of touch screen devices, the effect of the users' fingers on information processing and learning is of growing interest. The present study drew on cognitive load theory and embodied cognition perspectives to investigate the effects of pointing and tracing gestures on the surface of a multimedia learning instruction. Learning performance, cognitive load and visual attention were examined in a one‐factorial experimental design with the between‐subject factor pointing and tracing gestures. The pointing and tracing group were instructed to use their fingers during the learning phase to make connections between corresponding text and picture information, whereas the control group was instructed not to use their hands for learning. The results showed a beneficial effect of pointing and tracing gestures on learning performance, a significant shift in visual attention and deeper processing of information by the pointing and tracing group, but no effect on subjective ratings of cognitive load. Implications for future research and practice are discussed

Meaningful Hand Gestures for Learning with Touch-based I.C.T.

The role of technology in educational contexts is becoming increasingly ubiquitous, with very few students and teachers able to engage in classroom learning activities without using some sort of Information Communication Technology (ICT). Touch-based computing devices in particular, such as tablets and smartphones, provide an intuitive interface where control and manipulation of content is possible using hand and finger gestures such as taps, swipes and pinches. Whilst these touch-based technologies are being increasingly adopted for classroom use, little is known about how the use of such gestures can support learning. The purpose of this study was to investigate how finger gestures used on a touch-based device could support learning

Research avenues supporting embodied cognition in learning and instruction

Research on embodied cognition acknowledges that cognitive processing is tightly coupled with bodily activities and the environment. An important implication for education is that learning can be enhanced when the brain, body, and environment mutually influence each other, such as when making or observing human actions, especially those involving hand gestures and manipulation of objects. In this narrative review article, we describe the evidence from six research avenues that can help explain why embodied cognition can enhance learning and instruction. Through the exploration of these six interconnected research pathways, we aim to make a significant contribution by proposing innovative directions for learning and instruction research, all rooted in the principles of embodied cognition. We establish a direct link between the six research pathways and embodied phenomena, both in the contexts of making and observing human movements. When making human movements, the research avenues explaining the learning benefits due to these movements are physical activity, generative learning, and offloaded cognition. When observing human movements, the avenues researching these phenomena are specialized processor and signaling. Lastly, the research avenue social cognition is integral to both making and observing human movements. With originality in focus, we also include research that has not been traditionally associated with embodied cognition or embodiment. This article offers comprehensive discussions, substantiated with evidence and influencing features, for each of these research avenues. We conclude by outlining the implications of these findings for instruction and charting potential directions for future investigation

A Narrative Review of School-Based Physical Activity for Enhancing Cognition and Learning: The Importance of Relevancy and Integration

Engaging in regular physical activity can have substantial cognitive and academic benefits for children, and is generally promoted for its beneficial effects on children’s physical and mental health. Although embodied cognition research has convincingly shown the integral relationship of the human body and mind, in schools physical activity and cognitive activity are typically treated as unrelated processes. Consequently, most physical activities used are neither sufficiently relevant for nor fully integrated into the learning tasks. In reviewing the literature regarding the integration of physical activity into education to promote cognition and learning, two main lines of research emerged: exercise and cognition research vs. embodied cognition research. In this narrative review, we describe these two separately evolved schools of thought, highlighting their differences and commonalities. In categorising the existing studies on a 2 × 2 matrix, concerning the two main categories of relevance for and integration into the learning task, it becomes clear where the different foci lie, and how both lines of research could profit from learning from each other. Finally, a new instructional model that integrates task-relevant physical activities into the cognitive/learning task is proposed to inform both further research and educational practice