DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Lee, Ji Hyun | - |
dc.contributor.advisor | 이지현 | - |
dc.contributor.advisor | Woo, Woon Tack | - |
dc.contributor.advisor | 우운택 | - |
dc.contributor.author | Lee, Ju Young | - |
dc.date.accessioned | 2018-06-20T06:16:31Z | - |
dc.date.available | 2018-06-20T06:16:31Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=718575&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/242936 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2017.8,[iv, 34 p. :] | - |
dc.description.abstract | Nowadays, the amount of information and the number of devices that people face every day are growing rapidly. In this reason, people have to put more effort to the target information among a large amount of information provided by those devices. Also, it occurs attentional dispersion to people. Therefore, Pervasive Attentive Interface(PAI) has become important in order to manage user’s attention in multi-display environments. Compare to a attentive interface, it includes user's cognitive information on changing interface. Therefore, the first step to design PAI is identifying the user’s capable amount of attention. Therefore, this paper introduces the concept of attention modeling based on physical movements reflected on devices. This paper identified users' capable attention between and during task through the data gathered from diverse built-in sensors of devices, an eyewear device, and UI events. We did experiment with different sampling settings and modeling methods to find best set. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Attention model▼aPervasive attentive interface▼aBreakpoint▼aWearable device▼aExperience sampling method | - |
dc.subject | 주의 정량화▼aPervasive attentive interface▼a행위 중단점▼a착용형 장치▼a경험 추출 방법론 | - |
dc.title | Attention model of between and during tasks based on wearable activity tracking | - |
dc.title.alternative | 착용형 디바이스의 활동 추적을 통한 사용자의 작업 중과 사이의 주의 정량화 방법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :문화기술대학원, | - |
dc.contributor.alternativeauthor | 이주영 | - |
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