As though on a suicidal mission, the DRM Chair self-destructs after it has been sat on a certain amount of times. Created for the world-wide art and engineering competition known as The Deconstruction, it would be easy to dismiss the fatal thinking behind the DRM Chair as part of the rules and regulations set out by the board. Nevertheless, it raises important questions about existence and purpose, heavy topics for a mere chair.
Designed by a group of ECAL students, the DRM Chair is a simple wooden seat held together by unique joints. Hooked up to a master sensor, as soon as it detects a number of usages, it goes into self-destruction mode. This involves melting the joints until the DRM Chair is just a pile of wood on the ground.
Self-Destructing Seats
The DRM Chair Goes into Suicidal Mode Once Sat on a Number of Times
Trend Themes
1. Self-destructing Furniture - There is an opportunity for creating self-destructing furniture in the home decor industry, with potential for use in rental spaces.
2. Smart Furniture Sensors - Incorporating smart sensors in furniture could provide an opportunity for data collection and analysis in the furniture manufacturing industry.
3. Sustainable Furniture Manufacturing - The concept of intentionally creating disposable furniture challenges the notion of sustainability in the furniture industry, creating an opportunity for innovative and environmentally-friendly manufacturing practices.
Industry Implications
1. Furniture Manufacturing - Furniture manufacturers can explore opportunities to create innovative, self-destructing furniture designs that could appeal to consumers looking for limited-time use furniture, or to reduce the amount of waste in landfills
2. Rental Industry - Rental companies could offer unique experiences with self-destructing furniture, changing the way people think about the lifespan and value of rental items.
3. Data Analysis Technology - Exploring the potential to incorporate smart sensors in furniture could open up a new opportunity for tech companies to collect and analyze data on consumer furniture usage habits.