A preliminary study on attractiveness analysis of real estate floor plans

Taro Narahara, Toshihiko Yamasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages445-446
Number of pages2
ISBN (Electronic)9781728135755
DOIs
StatePublished - Oct 2019
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: Oct 15 2019Oct 18 2019

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
CountryJapan
CityOsaka
Period10/15/1910/18/19

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Crowdsourcing
  • Floor plans
  • Real estate tech

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