|
Title:
|
ENHANCING MOBILE WORKING MEMORY TRAINING BY USING AFFECTIVE FEEDBACK |
|
Author(s):
|
Kristina Schaaff |
|
ISBN:
|
978-972-8939-81-6 |
|
Editors:
|
Inmaculada Arnedillo Sánchez and Pedro Isaías |
|
Year:
|
2013 |
|
Edition:
|
Single |
|
Keywords:
|
Mobile learning, affective computing, psychophysiology, working memory. |
|
Type:
|
Doctoral Paper |
|
First Page:
|
269 |
|
Last Page:
|
273 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The objective of this paper is to propose a novel approach to enhance working memory (WM) training for mobile devices by using information about the arousal level of a person. By the example of an adaptive n-back task, we combine methodologies from different disciplines to tackle this challenge: mobile learning, affective computing and cognitive psychology. Mobile applications for WM training offer the advantage that a user can perform a training session independently of time and location. Using approaches from affective computing, training sessions can be made more challenging and engaging by making them adaptive to the current state of a user. In contrast to conventional adaptive WM trainings, our approach uses physiological signals to extract information about the arousal level of a person. In this paper, we address the question how information about the arousal level of a user can be captured and how this information can be used to influence the overall learning procedure. An approach to integrate feedback about the arousal level of a person into mobile WM training is presented and exemplified using the n-back task. |
|
|
|
|
|
|
