@inproceedings{8ebf8836bb604d2e971e2b205b0ac5ae,
title = "A preliminary study on attractiveness analysis of real estate floor plans",
abstract = "Understanding correlations between real estate floor plans and their implicit qualities in a quantitative data format would be important in order to obtain deep neural networks that could extract features related to the attractiveness of apartments. This paper presents creation and analysis of the preliminary dataset based on the attractiveness of floor plans using six statements that explore qualitative and functional values of apartments such as a level of comfort, perceived size, novelty, and so on, using crowdsourcing. Results revealed several characteristics that matched with our general preferences for apartments.",
keywords = "Crowdsourcing, Floor plans, Real estate tech",
author = "Taro Narahara and Toshihiko Yamasaki",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE Global Conference on Consumer Electronics, GCCE 2019 ; Conference date: 15-10-2019 Through 18-10-2019",
year = "2019",
month = oct,
doi = "10.1109/GCCE46687.2019.9015427",
language = "English (US)",
series = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "445--446",
booktitle = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",
address = "United States",
}