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Title
Abstract
Introduction
Related Topics
Meaningful Affective Space Design
Aesthetic Data Acquisition
Design Data for Sensory Design Elements
Quantitative Data Analysis
Qualitative Data Analysis
Design Data for a Virtual Window
Future Research Possibilities
Investigating Construction Materials
Conclusion
References
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Computer Science
Artificial Intelligence

Engineered Perception Architecture for Healthcare

Profile image of Mihai NadinMihai Nadin

2019

https://doi.org/10.1145/3316782.3321525
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9 pages

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Abstract

Experiencing sensory-pleasing environments and recreating perceptions of past lived environments can benefit patients greatly in coping with irreversible conditions (e.g., dementia) or during healing after traumatic experiences. Such environments can evoke emotional responses that are associated with a patient's positive memories of a place, an activity, or people. A design concept of an intimate architectural space informed by knowledge of anticipatory systems was developed for the purpose of generating variable personalized environments. In particular, such environments are designed for patients, according to their individual demands and expectations. The design is guided by aesthetic data acquired through perceptual user studies. Such adaptive spaces can be delivered to a large number of users in healthcare in the form of Architecture-as-Service (AaS). The research presented expands the notion of AaS and is premised upon an IoT application. CCS CONCEPTS • Human-centered computing→Interaction design; KEYWORDS Adaptive, Architecture-as-Service (AaS), interaction, perception, affective space, dementia ACM Reference format:

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Engineered Perception Architecture
Mihai Nadin

2019

Experiencing sensory-pleasing environments and recreating perceptions of past lived environments can benefit patients greatly in coping with irreversible conditions (e.g., dementia) or during healing after traumatic experiences. Such environments can evoke emotional responses that are associated with a patient’s positive memories of a place, an activity, or people. A design concept of an intimate architectural space informed by knowledge of anticipatory systems was developed for the purpose of generating variable personalized environments. In particular, such environments are designed for patients, according to their individual demands and expectations. The design is guided by aesthetic data acquired through perceptual user studies. Such adaptive spaces can be delivered to a large number of users in healthcare in the form of Architecture-as-Service (AaS). The research presented expands the notion of AaS and is premised upon an IoT application.

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