{"id":{"repo_id":"laurentian","oai_identifier":"oai:laurentian.scholaris.ca:10219/3257"},"canonical_url":"https://search.dev.ndltd.org/etd/laurentian/oai:laurentian.scholaris.ca:10219/3257","repository":{"repo_id":"laurentian","name":"Laurentian University","base_url":"https://laurentian.scholaris.ca/server/oai/request"},"display":{"title":"Neuroarchitecture : quantifying perception to inform a design for improved mental well-being","abstract":"As complex, biological organisms, neuroarchitecture aims to address notions that natural and built environments can effect changes in our organismic systems at cellular, neurological, emotional, perceptual, and cognitive levels. Knowing this however, there is still little quantifiable data regarding the metrics of interior environments and how they impact human cognition. The question thus arises: Can we attempt to quantify human perception pertaining to architectural experience through the use of sensing technologies, in order to substantiate the effects of natural elements, and thus inform a design for improved mental well-being? This thesis aims to explore these ideas first through existing knowledge and theory regarding human perception and sensory stimulation. Furthermore, through self-analysis per the use of modern sensing technologies, both cognitive and environmental data will be gathered in order to gain an understanding of the relationships between spatial qualities and the physiological responses they evoke. Through this method of theory and data collection, a more informed design framework will be proposed to design a student residence that places a greater focus on improved mental well-being.","abstract_html":"As complex, biological organisms, neuroarchitecture aims to address notions that natural and built environments can effect changes in our organismic systems at cellular, neurological, emotional, perceptual, and cognitive levels. Knowing this however, there is still little quantifiable data regarding the metrics of interior environments and how they impact human cognition. The question thus arises: Can we attempt to quantify human perception pertaining to architectural experience through the use of sensing technologies, in order to substantiate the effects of natural elements, and thus inform a design for improved mental well-being? This thesis aims to explore these ideas first through existing knowledge and theory regarding human perception and sensory stimulation. Furthermore, through self-analysis per the use of modern sensing technologies, both cognitive and environmental data will be gathered in order to gain an understanding of the relationships between spatial qualities and the physiological responses they evoke. Through this method of theory and data collection, a more informed design framework will be proposed to design a student residence that places a greater focus on improved mental well-being.","abstract_has_math":false,"creators":["Ferlaino, Mikayla"],"institution":"Laurentian University of Sudbury","degree_name":"Master of Architecture (M.Arch)","degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-04-10","date_published":"2019-04-10","updated_at":"2026-08-21T16:45:57Z","subjects":["neuroarchitecture","well-being","perception","sensing technology","EEG"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://laurentian.scholaris.ca/handle/10219/3257","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://laurentian.scholaris.ca/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Alaurentian.scholaris.ca%3A10219%2F3257","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Ferlaino, Mikayla"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-05-15T14:48:06Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-05-15T14:48:06Z"]},{"key":"dc:date.issued","label":"Date","values":["2019-04-10"]},{"key":"dc:publisher","label":"Institution","values":["Laurentian University of Sudbury"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Architecture (M.Arch)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Laurentian University of Sudbury"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["neuroarchitecture","well-being","perception","sensing technology","EEG"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://laurentian.scholaris.ca/handle/10219/3257"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["As complex, biological organisms, neuroarchitecture aims to address notions that natural and built environments can effect changes in our organismic systems at cellular, neurological, emotional, perceptual, and cognitive levels. Knowing this however, there is still little quantifiable data regarding the metrics of interior environments and how they impact human cognition. The question thus arises: Can we attempt to quantify human perception pertaining to architectural experience through the use of sensing technologies, in order to substantiate the effects of natural elements, and thus inform a design for improved mental well-being? This thesis aims to explore these ideas first through existing knowledge and theory regarding human perception and sensory stimulation. Furthermore, through self-analysis per the use of modern sensing technologies, both cognitive and environmental data will be gathered in order to gain an understanding of the relationships between spatial qualities and the physiological responses they evoke. Through this method of theory and data collection, a more informed design framework will be proposed to design a student residence that places a greater focus on improved mental well-being."]},{"key":"dc:title","label":"Title","values":["Neuroarchitecture : quantifying perception to inform a design for improved mental well-being"]}]}],"canonical_facts":{"dc:creator":["Ferlaino, Mikayla"],"dc:date.accessioned":["2019-05-15T14:48:06Z"],"dc:date.available":["2019-05-15T14:48:06Z"],"dc:date.issued":["2019-04-10"],"dc:description.abstract":["As complex, biological organisms, neuroarchitecture aims to address notions that natural and built environments can effect changes in our organismic systems at cellular, neurological, emotional, perceptual, and cognitive levels. Knowing this however, there is still little quantifiable data regarding the metrics of interior environments and how they impact human cognition. The question thus arises: Can we attempt to quantify human perception pertaining to architectural experience through the use of sensing technologies, in order to substantiate the effects of natural elements, and thus inform a design for improved mental well-being? This thesis aims to explore these ideas first through existing knowledge and theory regarding human perception and sensory stimulation. Furthermore, through self-analysis per the use of modern sensing technologies, both cognitive and environmental data will be gathered in order to gain an understanding of the relationships between spatial qualities and the physiological responses they evoke. Through this method of theory and data collection, a more informed design framework will be proposed to design a student residence that places a greater focus on improved mental well-being."],"dc:identifier.uri":["https://laurentian.scholaris.ca/handle/10219/3257"],"dc:language.iso":["en"],"dc:publisher":["Laurentian University of Sudbury"],"dc:subject":["neuroarchitecture","well-being","perception","sensing technology","EEG"],"dc:title":["Neuroarchitecture : quantifying perception to inform a design for improved mental well-being"],"dc:type":["Thesis"],"thesis:degree_name":["Master of Architecture (M.Arch)"],"thesis:institution_name":["Laurentian University of Sudbury"]},"updated_at":"2026-08-21T16:45:57Z"}