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1.
HERD ; 15(1): 115-130, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34477015

RESUMO

OBJECTIVE: This study aims to investigate the elements of wayfinding in indoor complex healthcare environments. BACKGROUND: The study replicates Ghamari and Pati's 2018 study to identify the environmental attributes that attract eye fixation during wayfinding by objectively tracking eye movements and fixation as healthy subjects navigate through a complex, unfamiliar indoor healthcare setting. The study addressed what do people look at while navigating in unfamiliar healthcare environments? What are the relative time periods of eye fixations on different visual environmental elements of the healthcare-designed environments? And what role do visual environmental attributes in healthcare facilities, such as configuration, color, art, directories, maps, furniture, and so on, play during the wayfinding process. METHOD: Twenty-four adults in different genders and various age groups participated in this study and navigated five routes with different degrees of difficulty. The sequence of the destinations in this study was randomized. The data were collected by tracking gaze fixations while human subjects navigated an indoor complex healthcare environment. RESULTS: The findings show that identifying signs (29.1%), informative signs (20.8%), and architectural features (11.3%) constituted the most frequent elements attracting gaze, substantially more than the other classes of information. Four types of signage (identifying signs, informative signs, directional, and safety/regulatory signs) were accounted for 62.3% of the total gaze fixation time. CONCLUSIONS: The comparison of the ordered list based on frequencies and time of eye fixations on various elements developed in Ghamari and Pati's study shows a vast degree of similarities.


Assuntos
Tecnologia de Rastreamento Ocular , Fixação Ocular , Adulto , Atenção à Saúde , Movimentos Oculares , Feminino , Instalações de Saúde , Humanos , Masculino
2.
Eur J Investig Health Psychol Educ ; 11(4): 1362-1387, 2021 Nov 05.
Artigo em Inglês | MEDLINE | ID: mdl-34842658

RESUMO

Research on the relationship between architecture and neuroscience has increased in number and significance since the 1990s. Although a growing number of studies revolve around this field of research, there are very limited studies that have reviewed and assessed the field and there is a gap in the literature to address the overall analysis of neuroarchitecture literature and its evolution. Additionally, neuroarchitecture literature is now challenging to manage because of its multidisciplinary scope and wide range spread within different themes and journals. The primary aim of this study is to present a bibliometric analysis of three decades of research on neuroarchitecture. This provides an overall picture of the field and its research landscape. Two hundred and ninety-five publications were included in the final database of the study after screening processes. Next, a science mapping tool, VOSviewer, was utilized to detect major topics as well as influential authors, countries, publications, and prominent journals using different network analysis techniques such as term co-citation, term co-occurrence, and bibliographic coupling. Next, a similar co-occurrence analysis was conducted to identify the major themes and the evolution of the intellectual basis of the field. SciMAT was also used to detect how the intellectual base of the knowledge in the field has evolved over time. It also assisted to identify the major themes that have contributed to this evolution. The results show that this field has initially been mainly focused on few themes but has later become more diversified to acknowledge the multi-faceted characteristics of neuroarchitecture; over time, the intellectual base of the field of neuroarchitecture started to grow, particularly from 2016. Major progress in the development of theoretical and methodological approaches has been achieved and there has been a paradigm shift toward major keywords in neuroarchitecture such as EEG, fMRI, and virtual reality.

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