THE THINKING IN MOTION THEORETICAL MODEL - Evaluation of Cognitive Load in Motor-Cognitive Training

Sep 29, 2026

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Motor-cognitive training supports cognitive preservation in aging, yet Motor Training with Incorporated Cognitive Tasks (MTICT) is less conceptually and practically developed than dual-task paradigms, creating inconsistent research and weaker mechanism identification. The Thinking in Motion theoretical model (TIM™) was created to fill this gap by defining five cognitive load components—novelty, speed, variability, control complexity, and learning mode—within standardized rating scales. TIM™ enables clearer differentiation of cognitively demanding MTICT interventions, supports clinician and researcher optimization, and strengthens both scientific methodology and real-world application by refining motor-cognitive training strategies in clinical and community settings.

LanguageEnglish

CategoryResearch & Report

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Pages1

Reading Time3 min

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Abstract

Motor-cognitive training background and the MTICT gap

TIM™ model components and standardized rating scales

Applications for research standardization and intervention evaluation

674 Innovation in Aging, 2025, Vol. 9, No. S2 Abstract citation ID: igaf122.2300 THE THINKING IN MOTION THEORETICAL MODEL: EVALUATION OF COGNITIVE LOAD IN MOTOR-COGNITIVE TRAINING Shiri Embon Magal1, and Maayan Agmon1, 1. University of Haifa, Haifa, HaZafon, Israel Motor-cognitive training is recognized for its role in preserving and enhancing cognitive function in aging populations. However, while sequential motor-cognitive training and dual-task paradigms are well-defined, Motor Training with Incorporated Cognitive Tasks (MTICT), where cognitive demands are integrated within movement execution, remains conceptually and practically underdeveloped, regardless of its high potential as an ecologically valid training. This gap limits research consistency, hinders comparative analysis, and reduces the ability to identify mechanisms underlying cognitive benefits of MTICT training. Furthermore, the absence of structured criteria in MTICT limits the ability to distinguish cognitively demanding interventions from general motor activities, posing challenges for both research standardization and practical application. To address these limitations, the Thinking in Motion theoretical model (TIM™), was developed. This model stems from a comprehensive review of existing theories and empirical studies examining key factors influencing cognitive load in motor learning.The TIM™ model defines five core cognitive load components: novelty, speed, variability, control complexity, and learning mode. By integrating these dimensions into standardized rating scales, TIM™ offers a structured framework for assessing both cognitive load intensity and its expected impact on cognitive domains. TIM™ refines the classification of MTICT interventions and equips clinicians and researchers with a structured tool for optimizing and evaluating cognitive stimulation in a given MTICT interventions. Standardizing cognitive load assessment in MTICT is critical for advancing both scientific methodologies and real-world applications. This presentation will outline the model’s rational, theoretical foundation, and implications for refining motor-cognitive training strategies in both clinical and community-based settings.

FAQs

What problem does the Thinking in Motion (TIM™) model address in MTICT research?

It addresses the lack of structured criteria to distinguish cognitively demanding MTICT interventions from general motor activities, which limits research consistency and comparative analysis.

Which five components define cognitive load in the TIM™ model?

TIM™ defines novelty, speed, variability, control complexity, and learning mode as the five core cognitive load components.

How does TIM™ support evaluation of cognitive stimulation in motor-cognitive training?

By integrating the five components into standardized rating scales, TIM™ provides a structured framework to assess cognitive load intensity and expected impacts on cognitive domains, helping clinicians and researchers optimize MTICT interventions.

Sep 29, 2026

Upload by Noah