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Akiyo Kano

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Publication statistics

Pub. period:2006-2010
Pub. count:4
Number of co-authors:3

Co-authors

Number of publications with 3 favourite co-authors:

Janet C. Read:3
Matthew Horton:1
Alan J. Dix:1

Productive colleagues

Akiyo Kano's 3 most productive colleagues in number of publications:

Alan J. Dix:108
Janet C. Read:35
Matthew Horton:7

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May 20

CTS 2013 - The 2013 Intl. Conf. on Collaboration Techn. and Systems

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 18

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Akiyo Kano

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Publications by Akiyo Kano (bibliography)

2010

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Kano, Akiyo, Horton, Matthew and Read, Janet C. (2010): Thumbs-up scale and frequency of use scale for use in self reporting of children's computer experience. In: Proceedings of the Sixth Nordic Conference on Human-Computer Interaction 2010. pp. 699-702.

“A Computer Experience questionnaire was piloted with 49 children to validate two new scales of measurement, the Thumbs-Up Scale (TUS) and Frequency of Use Scale (FUS). TUS is a VAS (Visually Analogue Scale) designed to measure perceived skill levels. FUS is a Likert scale for measuring how often a device is used or an event occurs. The two scales gained high correlation with their respective validation measures (TUS r=.892, FUS r=.744) indicating that TUS and FUS can be used effectively with children as young as 7 years old.”

2009

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Kano, Akiyo and Read, Janet C. (2009): Text input error categorisation: solving character level insertion ambiguities using Zero Time analysis. In: Proceedings of the HCI09 Conference on People and Computers XXIII 2009. pp. 293-302.

“A review of literature on text input error categorisation revealed the need for a formal method to assist in solving ambiguities. This paper proposes a method of solving one such set of ambiguities, those caused by insertion of an extra letter. The method uses two rules: the Zero Time rule and Impossible NT/CT-Mu rule to establish whether the extra letter was inserted with another letter, or inserted individually. The method was applied to two large studies conducted to gather typing errors from students and children. The results show that the method is able to solve 100% of all insertion-only ambiguities and in doing so it helps reduce ambiguities in 75-85% of the remaining ambiguities.”

2008

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Kano, Akiyo (2008): MECE Method For Categorising Typing Errors. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 249-250.

“This research aims to create an MECE (Mutually Exclusive, Collectively Exhaustive) categorisation method for typing errors. The research is grounded in theory by gathering typing error types found in both HCI and psychology literature. Empirical studies gathering typing errors from children are used to validate these error types. It is hoped that at a later date, this categorisation method can be used to detect dyslexia in children by inspecting their typing errors.”

2006

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Kano, Akiyo, Read, Janet C. and Dix, Alan J. (2006): Children's phrase set for text input method evaluations. In: Proceedings of the Fourth Nordic Conference on Human-Computer Interaction 2006. pp. 449-452.

“This paper investigates the suitability of current phrase sets available in HCI for use with children in text entry experiments. It first examines the use of phrase sets within text input method evaluation, and suggests several reasons why the currently available phrase sets may not be suitable for use with children. A new phrase set, containing 500 phrases which have been taken from children's books, is presented. A study that compared the adult focused phrase set with the new children's phrase set is described. This study concludes that the new phrase set is suitable for use with children and, given that results with the two phrase sets were similar, the study adds validity to the existing adult phrase set.”

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