22nd International Conference on Human-Computer Interaction With Mobile Devices and Services 2020
DOI: 10.1145/3379503.3403562
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Physio-Stacks: Supporting Communication with Ourselves and Others via Tangible, Modular Physiological Devices

Abstract: Figure 1: We present simple modular bricks that support the easy creation and interfacing with physiological applications.

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Cited by 4 publications
(3 citation statements)
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References 78 publications
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“…Moving away from the audience-performer dynamic, related case studies [49,103,104] demonstrate how social encounters can be mediated through embodied sensor data. We would like to further investigate this approach to engage multiple users simultaneously, in this instance, representing an assembly of interpersonal distances through sound…”
Section: Sound Interaction As Social Mediationmentioning
confidence: 99%
“…Moving away from the audience-performer dynamic, related case studies [49,103,104] demonstrate how social encounters can be mediated through embodied sensor data. We would like to further investigate this approach to engage multiple users simultaneously, in this instance, representing an assembly of interpersonal distances through sound…”
Section: Sound Interaction As Social Mediationmentioning
confidence: 99%
“…Moving away from the audience-performer dynamic, related case studies demonstrate how social encounters can be mediated through embodied sensor data [49,104,105]. We would like to further investigate this approach to engage multiple users simultaneously, in this instance, representing an assembly of interpersonal distances through sound.…”
Section: Sound Interaction As Social Mediationmentioning
confidence: 99%
“…For example, the Memstone [5] is a tangible interface to control sharing of personalized video data with others. Physio-Stacks [31] and TOBE [16] follow a similar approach, however, the focus is on sharing personal physiological data with others to support extrospection. Other related interface concepts which focus on exploring one's own data, i.e.…”
Section: Physical Interfaces For the Quantifed Selfmentioning
confidence: 99%