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The aim of this study is to understand what are the collective actions ofarchitecture practitioners when grouping floor plan designs. The understandingof how professionals and students solve this complex problem may help todevelop specific programmes for the teaching of architecture. In addition, thefindings of this study can help in the development of query mechanisms fordatabase retrieval of floor plans and the implementation of clusteringmechanisms to aggregate floor plans resulting from generative design methods.The study aims to capture how practitioners define similarity between floorplans from a pool of available designs. A hybrid evolutionary strategy is used,which takes into account the building's functional program to generatealternative floor plan designs. The first step of this methodology consisted inan online survey to gather information on how the respondents would perform aclustering task. Online surveys have been used in several applications and area method of data collection that conveys several advantages. When properlydeveloped and implemented, a survey portrays the characteristics of largegroups of respondents on a specific topic and allows assessing itsrepresentation. Several types of surveys are available; e.g. questionnaire andinterview formats, phone survey, and online surveys, which can be coupled withinference engines that act and direct the survey according to respondents'answers. In the present study, the survey was posed as an online exercise inwhich respondents had to perform a pre-defined task, which makes it similar torunning an experiment in an online environment. The experiment aimed tounderstand the perception and criteria of the target population to perform theclustering task by comparing the results with the respondents' answers to aquestionnaire presented at the end of the exercise.

Online survey for collective clustering of computer generated architectural floor plans