<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Emerging the power of collective intelligence through crowdsourcing could create a clear path for visualizing real estate as well. One of the Crowdsourcing applications is describing the indoor space of a real estate. This paper aims to describe real estate in the context of spatial crowdsourcing. Qualitative and quantitative criteria were used in this study to describe the real estate space, topological relationships, directional relations, color, location, dimensions, and height as qualitative criteria. Quantitative criteria were selected as the dimensions and height. The proposed model was evaluated by two groups: those who had never seen the real estate and others that had already seen the same real estate. We implemented a website called SAMA<sup>1</sup> to evaluate the proposed model with crowdsourcing data using online collaborative tools. SAMA is using tools, such as a sketch plan, photo, text, virtual tour, and visual descriptions. To evaluate SAMA, we compared it with four representative commercial websites, and the impact of the tools was precisely examined. The obtained results demonstrate that the proposed model can be utilized to visually describe the indoor space of real estate in crowd-sourcing environments.</p></abstract>

Emerging the power of collective intelligence through crowdsourcing could create a clear path for visualizing real estate as well. One of the Crowdsourcing applications is describing the indoor space of a real estate. This paper aims to describe real estate in the context of spatial crowdsourcing. Qualitative and quantitative criteria were used in this study to describe the real estate space, topological relationships, directional relations, color, location, dimensions, and height as qualitative criteria. Quantitative criteria were selected as the dimensions and height. The proposed model was evaluated by two groups: those who had never seen the real estate and others that had already seen the same real estate. We implemented a website called SAMA1 to evaluate the proposed model with crowdsourcing data using online collaborative tools. SAMA is using tools, such as a sketch plan, photo, text, virtual tour, and visual descriptions. To evaluate SAMA, we compared it with four representative commercial websites, and the impact of the tools was precisely examined. The obtained results demonstrate that the proposed model can be utilized to visually describe the indoor space of real estate in crowd-sourcing environments.

Visual Description of the Indoor Space of Real Estate in Crowd-Sourcing Environments

Faculty of Geodesy and Geomatics Engineering

Faculty of Civil Engineering and Transportation

Real Estate Management and Valuation

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Emerging the power of collective intelligence through crowdsourcing could create a clear path for visualizing real estate as well. One of the Crowdsourcing...

Visual Description of the Indoor Space of Real Estate in Crowd-Sourcing Environments

Published Online: Aug 17, 2020

Page range: 91 - 103

DOI: https://doi.org/10.1515/remav-2020-0026

Keywords
crowdsourcing, indoor space, visual describing, real estate, sketch plan

© 2020 Sara Haghbayan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Visual Description of the Indoor Space of Real Estate in Crowd-Sourcing Environments

Published Online: Aug 17, 2020

Page range: 91 - 103

DOI: https://doi.org/10.1515/remav-2020-0026

Keywordscrowdsourcing, indoor space, visual describing, real estate, sketch plan

© 2020 Sara Haghbayan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
crowdsourcing, indoor space, visual describing, real estate, sketch plan