$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks 원문보기

Cognitive computation and systems, v.4 no.3, 2022년, pp.250 - 264  

Xing, Baixi (Zhejiang University of Technology Hangzhou China) ,  Cao, Hanfei (Zhejiang University of Technology Hangzhou China) ,  Shi, Lei (Durham University Durham UK) ,  Si, Huahao (Hangzhou Dianzi University Hangzhou China) ,  Zhao, Lina (Hangzhou Dianzi University Hangzhou China)

초록이 없습니다.

참고문헌 (48)

  1. Nord. Rev Lisbeth T. 63 28 1 2008 The role of aesthetics in web design 

  2. Lavie, Talia, Tractinsky, Noam. Assessing dimensions of perceived visual aesthetics of web sites. International journal of human-computer studies, vol.60, no.3, 269-298.

  3. Robins, D., Holmes, J.. Aesthetics and credibility in web site design. Information processing & management, vol.44, no.1, 386-399.

  4. Interact. Comput Maria D. 52 28 45 2015 Effects of different website designs on first impressions, aesthetic judgements and memory performance after short presentation 

  5. 10.1145/2702123.2702545 

  6. 10.1145/1518701.1518703 

  7. 10.1007/978-3-642-39476-8_83 

  8. Proc. of International Conference of Design Gu Z. 36 2015 Visualizing group user behaviors for social network interaction design iteration 

  9. Liu, Xiaoli, Yin, Jianqin. Stacked residual blocks based encoder-decoder framework for human motion prediction. Cognitive computation and systems, vol.2, no.4, 242-246.

  10. Proc. of CHI Dayama N.R. 1 20 2020 GRIDS: interactive layout design with integer programming 

  11. Bauerly, Michael, Liu, Yili. Computational modeling and experimental investigation of effects of compositional elements on interface and design aesthetics. International journal of human-computer studies, vol.64, no.8, 670-682.

  12. Kong, Jun, Zhang, Kang, Zeng, Xiaoqin. Spatial graph grammars for graphical user interfaces. ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery, vol.13, no.2, 268-307.

  13. Proc. Of International Conference on Information and Social Science Dong R. 217 2019 

  14. 10.1145/1456536.1456581 

  15. Proc. Of Conference on Human Factors in Computing Systems Katharina R. 11 2014 

  16. Tuch, Alexandre N., Bargas-Avila, Javier A., Opwis, Klaus. Symmetry and aesthetics in website design: It’s a man’s business. Computers in human behavior, vol.26, no.6, 1831-1837.

  17. Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing Singh S. 4507 2020 Ensemble network for ranking images based on visual appeal 

  18. 10.1109/CVPR.2017.504 

  19. Liu, Yong-Jin, Han, Yiheng, Ye, Zipeng, Lai, Yu-Kun. Ranking-Preserving Cross-Source Learning for Image Retargeting Quality Assessment. IEEE transactions on pattern analysis and machine intelligence, vol.42, no.7, 1798-1805.

  20. Zhou, Jin, Zhang, Qing, Fan, Jian-Hao, Sun, Wei, Zheng, Wei-Shi. Joint regression and learning from pairwise rankings for personalized image aesthetic assessment. Computational visual media, vol.7, no.2, 241-252.

  21. 10.1145/3159652.3159728 

  22. Proc. Of AAAI workshop on Intelligent Techniques for Information Personalization Lerman K. 1 2007 

  23. Jianping Fan, Keim, D.A., Yuli Gao, Hangzai Luo, Zongmin Li. JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.19, no.2, 273-288.

  24. Proc of WWW Lu D. 81 2011 

  25. Proc. of WSDM Ou W. 337 11 2011 Evaluating the visual quality of web pages using a computational aesthetic approach 

  26. Analyzing User Preference for Social Image Recommendation Liu X. 1 2016 

  27. 10.1145/2740908.2741981 

  28. 10.1145/2908131.2908141 

  29. Proc. of IEEE International Conference on Multimedia and Expo Guntuku S.C. 1 2015 Evaluating visual and textual features for predicting user likes 

  30. 10.1145/2487788.2487992 

  31. 10.1145/2702123.2702555 

  32. Dou, Qi, Zheng, Xianjun Sam, Sun, Tongfang, Heng, Pheng-Ann. Webthetics: Quantifying webpage aesthetics with deep learning. International journal of human-computer studies, vol.124, 56-66.

  33. 10.1145/2647868.2654927 

  34. Proc. of ICCV Ren J. 638 2017 Personalized image aesthetics 

  35. 10.23919/SPA.2017.8166855 

  36. Li, Mao, Lv, Jiancheng, Tang, Chenwei. Aesthetic assessment of paintings based on visual balance. IET image processing, vol.13, no.14, 2821-2828.

  37. Viswanatha Reddy, Gajjala, Mukherjee, Snehasis, Thakur, Mainak. Measuring photography aesthetics with deep CNNs. IET image processing, vol.14, no.8, 1561-1570.

  38. Proc. of ACM International Conference Bourguet M. 31 2018 Metrics‐based evaluation of graphical user interface aesthetics: the segmentation problem 

  39. Srinivas, Kankanala, Bhandari, Ashish Kumar. Low light image enhancement with adaptive sigmoid transfer function. IET image processing, vol.14, no.4, 668-678.

  40. Bakaev, Maxim, Razumnikova, Olga. What Makes a UI Simple? Difficulty and Complexity in Tasks Engaging Visual-Spatial Working Memory. Future Internet, vol.13, no.1, 21-.

  41. Proc. Of International Conference on Learning Representations Simonyan K. 1 2014 

  42. Proc. Of the 2nd International Conference on Image Xia X. 783 2017 

  43. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Howard A.G. 1 2017 

  44. Proc. of Int. Conf. Mach. Learn. Tan M. 1 2019 EffcientNet: rethinking model scaling for convolutional neural networks 

  45. Extremely large minibatch SGD: training ResNet‐50 on ImageNet in 15 Minutes Akiba T. 2017 

  46. 10.1109/ICMLA.2017.00-19 

  47. Learning transferable architectures for scalable image recognition Zoph B. 1 2018 

  48. 10.1145/1518701.1518703 

관련 콘텐츠

오픈액세스(OA) 유형

GREEN

저자가 공개 리포지터리에 출판본, post-print, 또는 pre-print를 셀프 아카이빙 하여 자유로운 이용이 가능한 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로