Children with Attention-Deficit/Hyperactivity Disorder (ADHD) face a range of learning difficulties in the school environment, thus several strategies have been developed to enhance or optimise their performance in school. One possible way is to actively enable appropriate restlessness using dynamic seats. In this paper, an assessment of the efficacy of a dynamic seat while solving school task is presented and compared to classic chair and therapy ball. To test the effectiveness of active seat, a study that examined task solving performance while observing the intensity of movement, in-seat behaviour and psychophysiological responses (electrodermal activity, facial temperature) was designed. A total of 23 school-aged children participated in the study, 11 children with a combined type of ADHD and 12 children without disorders. Children with ADHD achieved the best results when sitting in the active seat, where the most intense movement and best in-seat behaviour was observed. At the same time, psychophysiological parameters indicate that when performing better at the task children with ADHD were not too challenged and were consequently less agitated. Results have suggested that for a better cognitive performance of children with ADHD, it is crucial to provide a comfortable and pleasant workspace that enables them the right amount of restlessness.

Consistent definition of facial regions of interest (ROIs) is essential for comparable evaluation of temperature dynamics, yet manual ROI annotation remains common. As anatomically faithful annotation is time-consuming and cognitively demanding, this study investigates whether simplified geometric ROIs anchored to facial landmarks can be used without introducing differences in temperature statistics that exceed relevant measurement uncertainty levels. Three novice raters annotated five common facial ROIs across repeated sessions. Temperature metrics (mean, median, and standard deviation) were calculated from all pixels and from the warmest 10% of pixels at three spatial resolutions. Differences between annotation approaches were evaluated with respect to the best achievable and realistic uncertainty levels, 0.3 °C and 1.3 °C, respectively. The simplification reduced annotation time by 42% while maintaining excellent inter- and intra-rater reliability. For most ROIs and metrics, differences remained within the stricter uncertainty level, with larger deviations observed mainly in the anatomically variable periorbital region. Lower spatial resolution increased variability, particularly for small ROIs that fell below the minimum size criterion. These results demonstrate that simplified ROI definitions provide comparable temperature statistics while substantially improving time efficiency, supporting their use in manual and automated facial thermography analysis.