Evaluating and Optimizing Wayfinding in Healthcare Settings through Biometric Data and Virtual Response Testing

Worksite Location
NYC
Project Dates
May 15- Aug 15
Faculty Sponsor
Saleh Kalantari
Wages Up To
$4,000
Project Summary and Intended Outcomes

The researchers will develop a new high-tech system for human-response testing to improve the quality of architectural designs. The implementation of this testing platform will be demonstrated through a study of wayfinding optimization in a healthcare context. The overall project will be divided into seven tasks, each of which will employ rigorous and up-to-date methods as appropriate to the fields of study involved. First, the team will create a high-resolution VR environment that is optimized to provide an immersive and intuitive presentation of architectural designs for testing purposes. Second, we will develop and calibrate a non-invasive biophysical measurement system (encompassing EEG patterns, heart-rate, galvanic skin response, etc.) that can be used in conjunction with virtual immersion. Third, we will establish a precise research protocol for using this equipment, which can be adopted for a wide range of studies even by researchers who have little experience in neuroscience and information technology. The fourth task will be to conduct our primary demonstration study to evaluate wayfinding variables in a healthcare setting. In the final tasks we will develop an integrated software plug-in, guidebook, and online data-sharing platform for designers who want to use our protocols to carry out their own studies. 

Roles and Responsibilities

Running the experiment in the design firms at New York City and Ithaca  Data Visualization  Data Analysis 

Qualifications and Previous Coursework

The student with an experience of working with EEG, signal processing, MATLAB, and/or Unreal Engine are preferred, but not required. 

Benefits and Skills

The students will learn about a new design-evaluation toolkit using virtual immersion along with detailed biometric data-collection. They also learn about using Virtual Reality as a research tool in design testing. In addition, they will learn about how to design and run an experiment using VR and EEG and how to analyze the data using signal processing and machine learning methods. He/ she will join a professional team of designer and researcher in which get the opportunity to interact in a cutting-edge research lab.