DIGITAL LIBRARY
COMPARING ATTENTIONAL PERFORMANCE WITH CALIBRATED BAYES FACTORS IN A VIRTUAL REALITY-BASED CONTINUOUS PERFORMANCE TEST
1 UCAM Universidad Católica de Murcia (SPAIN)
2 Nesplora (SPAIN)
About this paper:
Appears in: ICERI2018 Proceedings
Publication year: 2018
Pages: 8514-8519
ISBN: 978-84-09-05948-5
ISSN: 2340-1095
doi: 10.21125/iceri.2018.0557
Conference name: 11th annual International Conference of Education, Research and Innovation
Dates: 12-14 November, 2018
Location: Seville, Spain
Abstract:
Nesplora Aula School is a tool aimed at primary and secondary schools that uses virtual reality (VR) cognitive tasks to obtain objective information on the attentional profile of the students. The test consists of two tasks, which are two different CPT (Continuous Performance Test) paradigms. The presented stimuli are visual and auditory and during the task distractors typical of a school classroom are also presented. Through this, the tool provides information about sustained attention, visual and auditory processing, impulse control, motor activity, concentration in stimulating and/or quiet environments, processing speed, quality of attentional focus and distractibility. In the automatic report, in addition to this information, several psychopedagogical orientations adapted to the attentional profile are presented. The objective of this work is to clarify the automatic system for the analysis of intrasubject statistical differences. The idea is to assess the differences when comparing two conditions, either by sensory channel or the type of task. In case differences are observed, these should be considered to implement interventions or strategies that facilitate the affected learning processes. Calibrated p-valued Bayes Factors are used to make decisions about the observed differences. The rationale behind the use of these statistics is provided as well as its utility from a clinical and educational point of view.
Keywords:
Virtual reality, attention, Bayesian statistics, school, continuous performance test, Bayes Factor.