Measurement of usability for speech recognition on Ok Google

Emny Harna Yossy, Wayan Suparta, Agung Trisetyarso, Bahtiar Saleh Abbas, Chul Ho Kang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

As technology develops, Google can accept input not only by typing keywords but also through speech. Speech as input to Google is known as the Ok Google feature. However, many search engine users never pay attention to search engine definitions. So, websites are only limited to projects without further management, and that is what happens to the current website. Therefore, in this study, an assessment of usability is conducted on Google especially in the Ok Google feature using Nielsen Model. The research method used in this research is the quantitative research approach, a method which includes approach and kind of research, population and sample, instrument, data collection technique, and data analyze. Data collection techniques include learnability, efficiency, memorability, errors and satisfaction assessment and Likert scale ranges from 1 to 4. It can be signed into categories of sites with usability values, namely “very difficult to understand,” “difficult to understand”, “easy to understand” and “very easy to understand”. The construct validity is with Orthogonal Iterations with Index reliability of 0.91. The results of this study are the usability testing of Ok Google tends to be significance (α) of 5% with data of 124 is 1.66, feedback statement in the questionnaire is considered valid, then the questionnaire results show α = 0.91 which means the measurement of usability on Ok Google Feature is an excellent level. The average usability value obtained by Ok Google in Indonesia is included in the category of usability “easy to understand”. In addition, it was found that Ok Google has the highest memorability level and the lowest error.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages83-94
Number of pages12
DOIs
Publication statusPublished - 1 Jan 2020

Publication series

NameStudies in Computational Intelligence
Volume830
ISSN (Print)1860-949X

Fingerprint

Speech recognition
Websites
Search engines
Feedback
Testing

Keywords

  • Speech recognition
  • Usability
  • Website

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Yossy, E. H., Suparta, W., Trisetyarso, A., Abbas, B. S., & Kang, C. H. (2020). Measurement of usability for speech recognition on Ok Google. In Studies in Computational Intelligence (pp. 83-94). (Studies in Computational Intelligence; Vol. 830). Springer Verlag. https://doi.org/10.1007/978-3-030-14132-5_7

Measurement of usability for speech recognition on Ok Google. / Yossy, Emny Harna; Suparta, Wayan; Trisetyarso, Agung; Abbas, Bahtiar Saleh; Kang, Chul Ho.

Studies in Computational Intelligence. Springer Verlag, 2020. p. 83-94 (Studies in Computational Intelligence; Vol. 830).

Research output: Chapter in Book/Report/Conference proceedingChapter

Yossy, EH, Suparta, W, Trisetyarso, A, Abbas, BS & Kang, CH 2020, Measurement of usability for speech recognition on Ok Google. in Studies in Computational Intelligence. Studies in Computational Intelligence, vol. 830, Springer Verlag, pp. 83-94. https://doi.org/10.1007/978-3-030-14132-5_7
Yossy EH, Suparta W, Trisetyarso A, Abbas BS, Kang CH. Measurement of usability for speech recognition on Ok Google. In Studies in Computational Intelligence. Springer Verlag. 2020. p. 83-94. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-14132-5_7
Yossy, Emny Harna ; Suparta, Wayan ; Trisetyarso, Agung ; Abbas, Bahtiar Saleh ; Kang, Chul Ho. / Measurement of usability for speech recognition on Ok Google. Studies in Computational Intelligence. Springer Verlag, 2020. pp. 83-94 (Studies in Computational Intelligence).
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