ExoBuilding: Physiologically Driven Adaptive Architecture

Our surroundings are becoming infused with sensors measuring a variety of data streams about the environment, people and objects. Such data can be used to make the spaces that we inhabit responsive and interactive. Personal data in its different forms are one important data stream that such spaces are designed to respond to. In turn, one stream of personal data currently attracting high levels of interest in the HCI community is physiological data (e.g., heart rate, electrodermal activity), but this has seen little consideration in building architecture or the design of responsive environments. In this context, we developed a prototype mapping a single occupant’s respiration to its size and form, while it also sonifies their heartbeat. The result is a breathing building prototype, formative trials of which suggested that it triggers behavioral and physiological adaptations in inhabitants without giving them instructions and it is perceived as a relaxing experience. In this paper, we present and discuss the results of a controlled study of this prototype, comparing three conditions: the static prototype, regular movement and sonification and a biofeedback condition, where the occupant’s physiological data directly drives the prototype and presents this data back to them. The study confirmed that the biofeedback condition does indeed trigger behavioral changes and changes in participants’ physiology, resulting in lower respiration rates as well as higher respiration amplitudes, respiration to heart rate coherence and lower frequency heart rate variability. Self-reported state of relaxation is more dependent on inhabitant preferences, their knowledge of physiological data and whether they found space to ‘let go’. We conclude with a discussion of ExoBuilding as an immersive but also sharable biofeedback training interface and the wider potential of this approach to making buildings adapt to their inhabitants.

[1]  Sara Ilstedt Hjelm,et al.  Brainball - using brain activity for cool competition , 2000 .

[2]  Igor Malinovsky,et al.  Preliminary Results of an Open Label Study of Heart Rate Variability Biofeedback for the Treatment of Major Depression , 2007, Applied psychophysiology and biofeedback.

[3]  Sarah Bonnemaison,et al.  Installations By Architects: Experiments in Building and Design , 2009 .

[4]  Regan L. Mandryk,et al.  Biofeedback game design: using direct and indirect physiological control to enhance game interaction , 2011, CHI.

[5]  Jeffrey F. Cohn,et al.  Foundations of human computing: facial expression and emotion , 2006, ICMI '06.

[6]  Montserrat Conde Pastor,et al.  The Influence of Respiration on Biofeedback Techniques , 2008, Applied psychophysiology and biofeedback.

[7]  M. Greenberg,et al.  The Effects of Respiratory Sinus Arrhythmia Biofeedback on Heart Rate Variability and Posttraumatic Stress Disorder Symptoms: A Pilot Study , 2009, Applied psychophysiology and biofeedback.

[8]  I. Wickram Biofeedback: A Practitioner's Guide , 1987 .

[9]  J. van Leeuwen,et al.  Cooperative Buildings. Integrating Information, Organizations, and Architecture , 1999, Lecture Notes in Computer Science.

[10]  Richard Harper,et al.  Inside the Smart Home , 2003, Springer London.

[11]  E. Goodwin,et al.  A Cognitive-Behavioral, Biofeedback-Assisted Relaxation Treatment for Panic Disorder With Agoraphobia , 2006 .

[12]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[13]  Soichiro Iga,et al.  Kirifuki: inhaling and exhaling interaction with visual objects , 2002, IWEC.

[14]  Marko Turpeinen,et al.  The influence of implicit and explicit biofeedback in first-person shooter games , 2010, CHI.

[15]  K. Gegenfurtner,et al.  Design Issues in Gaze Guidance Under review with ACM Transactions on Computer Human Interaction , 2009 .

[16]  Ana Paiva,et al.  Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction , 2005 .

[17]  Mette Ramsgaard Thomsen Robotic Membranes: Exploring a Textile Architecture of Behaviour , 2008 .

[18]  Eric Campo,et al.  A review of smart homes - Present state and future challenges , 2008, Comput. Methods Programs Biomed..

[19]  G. Rosano,et al.  Oestrogen as a calcium channel blocker. , 1996, European heart journal.

[20]  Desney S. Tan,et al.  Brain-computer interfaces for hci and games , 2008, CHI Extended Abstracts.

[21]  J. Cacioppo,et al.  Inferring psychological significance from physiological signals. , 1990, The American psychologist.

[22]  Paul Dourish,et al.  How emotion is made and measured , 2007, Int. J. Hum. Comput. Stud..

[23]  J. Cacioppo,et al.  Handbook Of Psychophysiology , 2019 .

[24]  Holger Schnädelbach,et al.  ExoBuilding: breathing life into architecture , 2010, NordiCHI.

[25]  P. Lehrer,et al.  The Effects of Specific Respiratory Rates on Heart Rate and Heart Rate Variability , 2003, Applied psychophysiology and biofeedback.

[26]  John L. Sibert,et al.  Heart rate variability: indicator of user state as an aid to human-computer interaction , 1998, CHI.

[27]  Michael E. Clark,et al.  Effects of paced respiration on anxiety reduction in a clinical population , 1990, Biofeedback and self-regulation.

[28]  P. Lehrer,et al.  Resonant Frequency Biofeedback Training to Increase Cardiac Variability: Rationale and Manual for Training , 2000, Applied psychophysiology and biofeedback.

[29]  Chris Rankin,et al.  The Architecture of Hope: Maggie's Cancer Caring Centres , 2011 .

[30]  Stefan Rennick Egglestone,et al.  Performing thrill: designing telemetry systems and spectator interfaces for amusement rides , 2008, CHI.

[31]  Masahiko Inami,et al.  BYU-BYU-View: a wind communication interface , 2007, SIGGRAPH '07.