Sensory evaluation method with multivariate analysis for pictograms on smartphone

Naotsune Hosono, Hiromitsu Inoue, Miwa Nakanishi, Yutaka Tomita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

New technologies have the potential to be used by anyone irrespective of age, gender, location, nationality, disability or time considerations. The session topic of well-being is close in meaning to User Experience (UX) which is considered a broader category under which usability and accessibility fall and is concerned with human perceptions and responses related to system attractive and comfortable use. To measure one quality of well-being, this paper discusses an original method: the Sensory Evaluation method. This method is demonstrated using multivariate analysis with the example of creating pictograms/icons of daily used signs from seven national sign languages on a smartphone. A usability evaluation test on its effectiveness and efficiency revealed that communication speed by tapping pictograms/icons on the smartphone was about five times more efficient than text message.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information: Applications and Services - 18th International Conference, HCI International 2016, Proceedings
PublisherSpringer Verlag
Pages521-530
Number of pages10
Volume9735
ISBN (Print)9783319403960
DOIs
Publication statusPublished - 2016
Event18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: 2016 Jul 172016 Jul 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9735
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other18th International Conference on Human-Computer Interaction, HCI International 2016
CountryCanada
CityToronto
Period16/7/1716/7/22

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Keywords

  • Accessibility
  • Human computer interface
  • Human-Centred design
  • Sensory evaluation
  • Usability
  • User experience

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hosono, N., Inoue, H., Nakanishi, M., & Tomita, Y. (2016). Sensory evaluation method with multivariate analysis for pictograms on smartphone. In Human Interface and the Management of Information: Applications and Services - 18th International Conference, HCI International 2016, Proceedings (Vol. 9735, pp. 521-530). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9735). Springer Verlag. https://doi.org/10.1007/978-3-319-40397-7_50