(The) effectiveness of ad personalization based on real-time visual attention : evidence from object detection and eye-tracking실시간 시각정보를 활용한 광고 개인화 효과: 물체 감지 및 시선 추적을 활용한 실증적 연구

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dc.contributor.advisorAhn, Jae-Hyeon-
dc.contributor.advisor안재현-
dc.contributor.authorKim, Jeongmin-
dc.date.accessioned2023-06-21T19:31:04Z-
dc.date.available2023-06-21T19:31:04Z-
dc.date.issued2022-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=997845&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/307537-
dc.description학위논문(석사) - 한국과학기술원 : 경영공학부, 2022.2,[iii, 22 p. :]-
dc.description.abstractAlong with the growth of market share of e-commerce, the increase in availability of personal information and the development of state-of-the-art algorithms have led firms to relentlessly investigate ways to enhance effectiveness of personalized advertising. In this paper, we focus on previously unexplored possibilities: Can we utilize consumer’s real-time visual attention in the course of ad personalization? More specifically, is there a relationship between visual attention and click-through intention in a video advertising context? Is it more effective to advertise products that capture consumer’s visual attention while watching video contents? The results of our lab experiment using eye-trackers and an object detection algorithm reveal that there indeed is a positive relationship between visual attention and advertising click-through intention. We further show that ad personalization based on visual attention has the potential to substantially increase click-through rate of post-roll ads. We hope to open up a new approach in personalized advertising that can be applied in VR environments.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.title(The) effectiveness of ad personalization based on real-time visual attention-
dc.title.alternative실시간 시각정보를 활용한 광고 개인화 효과: 물체 감지 및 시선 추적을 활용한 실증적 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :경영공학부,-
dc.contributor.alternativeauthor김정민-
dc.title.subtitleevidence from object detection and eye-tracking-
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MT-Theses_Master(석사논문)
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