Assessing the usability of the NDCDB checklist with Systematic Usability Scale (SUS)

9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Halim, N.Z.A.^1,2 ; Sulaiman, S.A.^1 ; Talib, K.^1 ; Isa, M.N.^2

Centre of Studies in Surveying Science and Geomatics, Faculty of Architecture, Planning and Survey, University Technology MARA, Selangor, Shah Alam, Malaysia^1

Department of Survey and Mapping Malaysia, Kuala Lumpur, Malaysia^2

关键词: Geo-spatial;    Learnability;    Perceived usability;    Spatial analysis;    System usability;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012099/pdf
DOI  :  10.1088/1755-1315/169/1/012099

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper explains the process of assessing the usability of the National Digital Cadastral Database (NDCDB) Checklist; which was developed in a more extensive research exercise with the aim to investigate the significance and usability of NDCDB for the use of multiple spatial land-based analysis. System Usability Scale or SUS was used to determine the perceived usability of the NDCDB Checklist developed to aid users to correctly optimise the National Digital Cadastral Database or NDCDB. Eighteen participants from relevant geospatial domains were invited to test the usability of the checklist through a remote asynchronous testing. The overall SUS score of the NDCDB Checklist was 75.1, which is defined as "Acceptable" under the SUS acceptability range. The SUS score was then extracted to identify additional information of Learnability and Usability components of which both resulted in 68.8 and 76.7 respectively. The SUS score indicates that the Usability component of the NDCDB Checklist to be acceptable while the Learnability component to be marginally acceptable. As a result, the NDCDB Checklist is considered fit and appropriate to be used by stakeholders, with high usability and marginal learnability in aiding land-based spatial analysis. The benefit of the NDCDB Checklist will encourage proper utilisation of the NDCDB for other spatial analysis aside land-based spatial analysis.