Configuring interface for IoT: Natural user interface study on senior adults in Japan

Kenichiro Ito, Hiroki Kogami, Soo In Kang, Reina Yoshizaki, Yuriki Sakurai, Koki Nakano, Daisuke Yoshioka, Jiang Wu, Mahiro Fujisaki-Sueda-Sakai, Ikuko Sugarawa, Takahiro Miura, Ken Ichiro Yabu, Tohru Ifukube

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

While Internet of Things has high affinity with houses and ability of customization, the customization process is complicated and hard for people not familiar with programming. Previous research reports that senior adults can independently come up with ideas by using cards. Three types of user interface were developed for experimental purpose to explore suitable user interface for senior adults; Voice recognition, touch interface, and image recognition. As a result, this study revealed that voice recognition was the most suitable. Furthermore, the results indicated that iterative interaction with Internet of Things may suggest image recognition with higher acceptance.

Original languageEnglish
Title of host publicationLifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages200-203
Number of pages4
ISBN (Electronic)9781665418751
DOIs
Publication statusPublished - 9 Mar 2021
Externally publishedYes
Event3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021 - Nara, Japan
Duration: 9 Mar 202111 Mar 2021

Publication series

NameLifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies

Conference

Conference3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
Country/TerritoryJapan
CityNara
Period9/03/2111/03/21

Keywords

  • Gerontechnology
  • Human computer interaction
  • Internet of things
  • Sensor systems and applications

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