Journal Article Published 2023

The Effect of Using Entry-level keyboards in improving user-adaptability to New Keyboards: Case of the Central-Bantu Keyboards

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Dr. Amelia Taylor

Dr. Amelia Taylor

Co-author

Computer Science & Information Systems (CSIS)

24 total publications

Amelia Taylor is a lecturer in Artificial Intelligence at the Malawi University of Business and Applied Sciences, former the University of Malawi, the Polytechnic. She teaches Artificial Intelligence, Computational Intelligence and programming module...
Primary Author Thokozani Chimkono
Co-Authors Eunice Mphako-Banda, Dr. Amelia Taylor, Pascal Kishindo

Abstract

Current trends in keyboard design show that QWERTY-similarity is a key factor for high user-adaptability key- board design. This design approach has the challenge that the higher the similarity the lower the text-entry rate for the optimized keyboard. This article reports on the findings of an empirical study which we conducted on QWERTY-users to measure the effect of using an entry-level keyboard in improving user-ability to adapt to a new keyboard. The study used two Central-Bantu physical keyboards (entry-level: with high QWERTY-similarity, and advanced-level: with low similarity) which we had designed in an earlier study. The empirical study obtained learning-curves of the Advanced-level keyboard, of a 12 -participant group which was first introduced to an entry- level keyboard, against a control-group of similar size, in a longitudinal study design. A two-sample t- test on the empirical results showed that the entry-level approach caused a marginally significant text-entry-rate improvement of 9.4% with p < .09. A two-sample U- test on word-error rates indicated a non-significant improvement of 8.4%. Our study has shown that the use of entry keyboards is an effective strategy in improving keyboard user-adaptability.
Year of Publication 2023
External Digital Object URL Access Publisher / External Source
Journal Name Telematics and Informatics Reports
Volume 11
Issue 4
Page Numbers 100073