• Journal of Korea Game Society
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• v.16 no.3
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• pp.127-138
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• 2016

Watchface is a content accounted for the largest number of current Smartwatch content posted on the App Store. However, the watch face itself does not find that the game content. Games operated in connection with the Watchface can minimize game controls and increase accessibility, while decreasing battery use, which ultimately can enhance immersion into the game. Beginning with background research on wearable devices, the current study puts forth development methodologies encompassing the entirety of the content development process from content design, to production. Through the current study, the author hopes to the ultimate effect of vitalizing Smartwatch game development.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.11-20
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• 2015

Recently, with the market of smart phones slowing down, more attention is paid to wearable devices. It was suggested that 2013 was the "year of the smart watch", due to that the majority of major consumer electronics manufacturers were undertaking work on a smart watch device. However there are still many issues on the interaction and interface design of smart watches. This study reviewed related literatures and evaluated the interaction methods, interface and content design of current smart watches. Based on that, future research directions were proposed. The research results have significant meanings for the guidance of future directions of smart watch.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1503-1510
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• 2016

In this study, we implemented the emotional light controlling system by using the wheel interface built in the smart-watch devices. Most previous light controlling systems have been adopted the direct switches or smart-phone applications for presenting individual emotion in lighting systems. However, in order to control color properties, these studies have some complicated user-interfaces in systems and limitation to present various color spectrums. Therefore, we need to user-friendly interfaces and functions for controlling properties of the lightning systems such as color, tone, color temperature, brightness, and saturation in detail with the wheel interface built in the smart-watch devices. The system proposed in the study is given to choose the user's selecting the emotional status information for providing the emotional lights. The selectable emotional status such as "stable", "surprise", "tired", "angry", etc. can be among 11 kinds of emotional states. In addition, the designed system processed the user's information such as user's emotional status information, local time, location information.

• 한국벤처창업학회:학술대회논문집
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• 2021.11a
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• pp.161-165
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• 2021

스타트업 제품 모델링에 있어 기존 제품에 대한 분석은 매우 중요한 역할을 한다. 그리고 이러한 분석은 다양한 방식과 프로그램 들을 통해 측정이 가능하다. 하지만, 다수의 스타트업들은 이러한 프로그램 운영이나 통계적 산출을 할 수 있는 인력 공급이 원활하지 않아 실제 사용에 많은 어려움을 겪고 있다. 이에 본 연구는 특별히 뛰어난 수리적 지식이 없더라도 중, 소 스타트업의 입장에서 직원 누구나 활용 가능한 제품 분석 방법에 대해 찾게 되었으며 그 결과 Kano 모형이 가장 적합할 것이라는 예측을 하였다. Kano 모형을 적용할 제품군으로는 많은 소비자가 존재하지만 시장이 크지 않아 진출 기회가 열려있는 스마트워치를 대상으로 하였다. 본 연구에서는 일반적으로 많은 회사에서 활용하고 있는 기본 오피스 프로그램인 EXCEL만을 활용해 제품의 Kano 모델 측정을 진행하였으며 그 결과 매력적요소 4가지(배터리 유효기간, 워치페이스의 종류와 수, 외형의 손상방지, 브랜드이미지), 일원적요소 13가지(단말기의 무게, 단말기의 외형, 구매가격, 오류발생, 스마트페이 기능, A/S용이성, 사용 가능한 앱의 수, 충전의 용이성, 방수 등 부가기능, 단말기 색상의 다양성, 헬스케어, 통화기능, 알림기능), 당연적요소 1가지(자사 기기와의 연동), 무관심요소 2가지(워치밴드의 디자인, 타사 기기와의 연동) 항목들을 측정하는 것이 가능하였으며 향후 본 Kano 모델을 활용하거나 해석함에 있어 최종학력, 전공, 연령 등이 어떠한 영향을 미치며 모델 사용에 필요한 최소 지식 수준에 따른 추가적인 연구를 진행할 것이다.

• Journal of Advanced Navigation Technology
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• v.19 no.5
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• pp.452-457
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• 2015

Recently, wearable devices have gained popularity with familiar form factors and designs of eye-wear and watch to satisfy wearers' various preferences. Since UI/UX of smartphones can not be applied directly on smaller wearable devices, text entry on wearable devices is still problematic. In this paper, we first identify UI/UX problems of existing input methods and propose a new input method for wearable devices specifically targeting smartwatch platforms. We design and implement an efficient text entry method for wearable devices using trackball sensor and evaluate its performance and usability.