TOBE: Tangible Out-of-Body Experience

We propose a toolkit for creating Tangible Out-of-Body Experiences: exposing the inner states of users using physiological signals such as heart rate or brain activity. Tobe can take the form of a tangible avatar displaying live physiological readings to reflect on ourselves and others. Such a toolkit could be used by researchers and designers to create a multitude of potential tangible applications, including (but not limited to) educational tools about Science Technologies Engineering and Mathematics (STEM) and cognitive science, medical applications or entertainment and social experiences with one or several users or Tobes involved. Through a co-design approach, we investigated how everyday people picture their physiology and we validated the acceptability of Tobe in a scientific museum. We also give a practical example where two users relax together, with insights on how Tobe helped them to synchronize their signals and share a moment.

[1]  Seçil Uğur,et al.  Wearing Embodied Emotions , 2013, SpringerBriefs in Applied Sciences and Technology.

[2]  Greg Welch,et al.  Shader Lamps: Animating Real Objects With Image-Based Illumination , 2001, Rendering Techniques.

[3]  David McCandless,et al.  Information is beautiful , 2009 .

[4]  Pierre Dillenbourg,et al.  System for assessing classroom attention , 2013, LAK '13.

[5]  Elise van den Hoven,et al.  Towards a more cherishable digital object , 2012, DIS '12.

[6]  Larissa Hjorth,et al.  Understanding physical activity through 3D printed material artifacts , 2014, CHI.

[7]  Sergi Jordà,et al.  Listening to Your Brain: Implicit Interaction in Collaborative Music Performances , 2011, NIME.

[8]  Khaled Bachour,et al.  Augmenting Face-to-Face Collaboration with Low-Resolution Semi-Ambient Feedback , 2010 .

[9]  Rosalind W. Picard,et al.  A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity , 2010, IEEE Transactions on Biomedical Engineering.

[10]  Timothy D. Wilson,et al.  Telling more than we can know: Verbal reports on mental processes. , 1977 .

[11]  Danielle Wilde,et al.  Displaying heart rate data on a bicycle helmet to support social exertion experiences , 2014, TEI '14.

[12]  Jérémy Frey,et al.  Teegi: tangible EEG interface , 2014, UIST.

[13]  R Schellenberg,et al.  Reflection of mental exercise in the dynamic quantitative topographical EEG. , 1995, Neuropsychobiology.

[14]  Seil Ugur,et al.  Wearing Embodied Emotions , 2013, SpringerBriefs in Applied Sciences and Technology.

[15]  Anton Nijholt,et al.  Emotional brain-computer interfaces , 2009, ACII.

[16]  David Rose,et al.  Enchanted Objects - Design, Human Desire and the Internet of Things , 2014, BIOSTEC.

[17]  B. Oken,et al.  Vigilance, alertness, or sustained attention: physiological basis and measurement , 2006, Clinical Neurophysiology.

[18]  Stephen H. Fairclough,et al.  Fundamentals of physiological computing , 2009, Interact. Comput..

[19]  Christian Kothe,et al.  Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general , 2011, Journal of neural engineering.

[20]  Christian Mühl,et al.  Connecting Brains and Bodies: Applying Physiological Computing to Support Social Interaction , 2015, Interact. Comput..

[21]  Eva Hornecker,et al.  The role of physicality in tangible and embodied interactions , 2011, INTR.

[22]  R. Mccraty,et al.  The Coherent Heart Heart-Brain Interactions, Psychophysiological Coherence, and the Emergence of System-Wide Order , 2009 .

[23]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[24]  Janko Drnovsek,et al.  Non-contact heart rate and heart rate variability measurements: A review , 2014, Biomed. Signal Process. Control..

[25]  Meredith Ringel Morris,et al.  SWARM: An Actuated Wearable for Mediating Affect , 2015, TEI.

[26]  Michael Schmitz,et al.  Tangible interaction with anthropomorphic smart objects in instrumented environments , 2010 .

[27]  Christian Mühl,et al.  Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction , 2013, PhyCS.

[28]  Matthew S. Goodwin,et al.  MEASURING AUTONOMIC AROUSAL DURING THERAPY , 2012 .

[29]  Pavlo D. Antonenko,et al.  Using Electroencephalography to Measure Cognitive Load , 2010 .

[30]  Kangsoo Kim,et al.  Empa talk: a physiological data incorporated human-computer interactions , 2014, CHI Extended Abstracts.

[31]  Matthew Louis Mauriello,et al.  BodyVis: A New Approach to Body Learning Through Wearable Sensing and Visualization , 2015, CHI.