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Mood-Sensitive Spaces: Inspiration from Ambient Assisted Living and Affective Computing

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Affective computing provides methods to compute with, and react appropriately to, human emotion. Ambient assisted living provides a framework for living spaces to support their inhabitants using connected technology across the Internet of Things. This chapter provides an exploration of where these two fields might meet, to provide spaces able to react to their inhabitants’ moods and change the environment based on their mood and feedback.

Keywords: affective computing ; mood-based computing ; reactive architecture ; reactive spaces

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References

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References

  1. Anonymous. “USB Type-C | USB-IF.” n.d. Accessed July 4 , 2022. https://usb.org/usbc.
  2. Asaithambi, Suriya Priya R. , Sitalakshmi Venkatraman , and Ramanathan Venkatraman .“Big Data and Personalisation for Non-Intrusive Smart Home Automation.” Big Data and Cognitive Computing 5, no. 1 (2021): 6. https://doi.org/10.3390/BDCC5010006.
    [Google Scholar]
  3. Chadborn, Neil H. , Krista Blair , Helen Creswick , Nancy Hughes , Liz Dowthwaite , Oluwafunmilade Adenekan , and Elvira Pérez Vallejos . “Citizens’ Juries: When Older Adults Deliberate on the Benefits and Risks of Smart Health and Smart Homes.” Healthcare 7, no. 2 (April 2019): 54. https://doi.org/10.3390/healthcare7020054.
    [Google Scholar]
  4. Dong, Bowei , Qiongfeng Shi , Yanqin Yang , Feng Wen , Zixuan Zhang , and Chengkuo Lee . “Technology Evolution from Self-Powered Sensors to AIoT Enabled Smart Homes.” Nano Energy 79, January (2021): 105414. https://doi.org/10.1016/J.NANOEN.2020.105414.61
    [Google Scholar]
/content/books/9781835950326.c03
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