Abstract
The Baking Tray Task is an ecological task developed for the assessment of unilateral neglect that can also be used for research on neurotypical participants. In this task, participants are asked to place 16 objects inside a board as evenly as possible. In the case of impaired spatial exploration, consequent to right attentional networks damage, asymmetrical object disposition is observed as more objects are placed on the ipsilesional side (typically the right side). The E-BTT is a technology-enhanced version of the Baking Tray Task, implemented with a software platform, E-TAN, which detects the objects and automatically computes their spatial coordinates. This allows a complement to the traditional scoring methods with new measures to extract richer information from the data. In this study, we focus on neurotypical participants to explore if some new indexes, derived from the literature review on similar tasks, can be applied to BTT and E-BTT for research aims. A principal component analysis (PCA) was then performed to verify if these new indexes reflect some common dimensions. Results indicate the emergence of two principal dimensions: spatiality, which summarizes both laterality and verticality, and quality, which regards the explored space and (dis)organization in placing the items.
Funder
Ministry of Education, Universities and Research
Cited by
4 articles.
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1. Measuring Spatial Behaviour and Cognition: A Method Based on Trajectories Analysis and Supported by Technology and Artificial Intelligence;Lecture Notes in Computer Science;2024
2. Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25
3. Organization measures in the Enhanced Baking Tray Task;Frontiers in Psychology;2022-12-01
4. Analysing E-BTT data: the E-TAN ANALYST prototype;2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2022-10-26