• Title/Summary/Keyword: 한손 조작

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A Study on the One-Handed Interface for Web Browsing on Smartphone (스마트폰에서의 웹브라우징을 위한 한손 조작 인터페이스 연구)

  • Jung, Su-Young;Choe, Jong-Hoon
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.283-284
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    • 2014
  • 스마트폰을 통한 정보 활용도가 증가하고 디스플레이가 대형화하면서 5인치 이상의 고해상도 스마트폰이 대세로 자리 잡고 있다. 그러나 스마트폰이 커질수록 한손으로 조작하기에는 많은 제약이 따른다. 이에 제조사들은 한손 조작 편의성을 위한 인터페이스를 적용하고 있다. 본 연구에서는 스마트폰에서의 사용빈도가 높은 웹브라우징에 대한 기존 한손모드 인터페이스 사례를 분석한 후, 사용자조사를 통해 스마트폰 웹브라우저의 구체적인 사용행태를 파악하고 니즈를 도출하였다.

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User Interface Design for One-Handed Web Searching on Large Screen Smart Phone (대화면 스마트폰에서의 한 손 조작 웹 검색을 위한 인터페이스 디자인)

  • Jung, Su-young;Choe, Jong-hoon
    • The Journal of the Korea Contents Association
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    • v.15 no.6
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    • pp.33-42
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    • 2015
  • As smart phones have been increasingly used to access information with bigger screens and higher resolution, smart phones have rapidly grown larger. Even Apple which had stuck to the 4-inch smart phone screen size, released 5.5-inch iPhone 6 plus. In this trend of smart phone enlargement, manufacturers have mostly incorporated one-handed modes to 5-inch or larger phones to keep the convenience of one-handed operation. But most of them provide just smaller screens and are rather complicated to set up after several menus to touch. In this study, this research examined one-handed functions of each smart phone manufacturer to understand problems in the one-handed smart-phone manipulation of web-browsing which is one of the frequent smart phone services. And by investigating smart phone users, this research found out requirements for one-handed web search operation. Based on this examination, the author of this research designed an efficient one-handed interface for mobile web-search without reducing the screen size. Then, to assess the possible usability improvement, the prototype was applied to a large 5.5-inch-screen smart phone to evaluate its performance through observation and surveys and find out manipulation satisfaction and further improvements.

Validating one-handed interaction modes for supporting touch dead-zone in large screen smartphones (대화면 스마트폰의 한 손 조작 시 터치 사각영역 지원 인터랙션의 유용성)

  • Park, Minji;Kim, Huhn
    • Journal of the HCI Society of Korea
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    • v.12 no.1
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    • pp.25-32
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    • 2017
  • The purpose of this study is to evaluate the effectiveness of one-handed interaction modes for supporting the dead zone that users must be difficulty in performing the touch manipulation with only one hand. For the purpose, this study analyzed two existing one-handed modes in iPhone and Android smartphones, and proposed and implemented two additional one-handed modes. In order to investigate effectiveness of the one-handed modes, we performed the experiment that compared normal touch mode with the four one-handed modes. Experimental results showed that all one-handed modes required more time than normal touch mode because of the time requiring in both mode change and recognition. However, the participants had difficulty in manipulating continuous touches at dead zone area with only normal touch. Moreover, the subjective satisfaction was high in one-handed modes thanks to touch convenience and smooth transition effects in mode change. In special, the one-handed mode at iPhone was the most effective out of the tested modes.

A Study on smart phone UI design for one hand user (스마트폰 한 손 사용을 위한 UI 디자인에 관한 연구)

  • Jeon, Hyun-joo;Oh, Jeong-seok;Youn, Ho-chang
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.47-48
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    • 2013
  • 스마트폰의 크기가 점점 대형화 되면서 한 손으로 작업하는 영역이 크기를 초과하는 경우가 있다. 이에 제조사별로 한손 조작의 편의성을 위한 UI 디자인이 적용되고 있다. 본 논문을 통해 한 손 조작에 대한 기존의 UI 디자인을 토대로 개선점을 논의해 보고자 한다.

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A Study on Sensor-Based Upper Full-Body Motion Tracking on HoloLens

  • Park, Sung-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.39-46
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    • 2021
  • In this paper, we propose a method for the motion recognition method required in the industrial field in mixed reality. In industrial sites, movements (grasping, lifting, and carrying) are required throughout the upper full-body, from trunk movements to arm movements. In this paper, we use a method composed of sensors and wearable devices that are not vision-based such as Kinect without using heavy motion capture equipment. We used two IMU sensors for the trunk and shoulder movement, and used Myo arm band for the arm movements. Real-time data coming from a total of 4 are fused to enable motion recognition for the entire upper body area. As an experimental method, a sensor was attached to the actual clothes, and objects were manipulated through synchronization. As a result, the method using the synchronization method has no errors in large and small operations. Finally, through the performance evaluation, the average result was 50 frames for single-handed operation on the HoloLens and 60 frames for both-handed operation.