Analyzing control-display movement compatibility: A neuroimaging study

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Despite the huge number of studies on control-display compatibility conducted over the past fifty years, there are still debates concerning the efficacy of conventional measures such as subjective evaluation and performance measures for discriminating between compatible and incompatible control-display mappings. Since compatibility refers to the control-display relationship corresponding to mental model of the users, we tried to apply functional neuroimaging technique as a direct objective measure for analyzing cognitive factors involved in human-machine interaction (HMI). Functional Magnetic Resonance Imaging (fMRI) was applied in order to analyze rotary control-linear display movement compatibility for horizontal and vertical linear displays. Although the results of behavioral measures were not significantly different for incompatible and compatible control-display mappings, neuroimaging results were quite successful in discriminating between them. Moreover, the fMRI results showed significantly greater brain activity for the incompatible condition than for the compatible one in the left posterior cingulate and the right inferior temporal gyrus that reveals the involvement of a greater cognitive load in terms of attention and visuomotor transformation in the incompatible condition. The results of this study suggest that neuroimaging method is a good complement to conventional measures and is quite helpful to acquire a better understanding of the cognitive processes involved in HMI. © 2009 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

Hosseini, S. M. H., Rostami, M., Takahashi, M., Miura, N., Sugiura, M., & Kawashima, R. (2009). Analyzing control-display movement compatibility: A neuroimaging study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5639 LNAI, pp. 187–196). https://doi.org/10.1007/978-3-642-02728-4_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free