TY - GEN
T1 - Enactive steering of an experiential model of the atmosphere
AU - Mechtley, Brandon
AU - Roberts, Christopher
AU - Stein, Julian
AU - Nandin, Benjamin
AU - Sha, Xin Wei
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - We present a stream of research on Experiential Complex Systems which aims to incorporate responsive, experiential media systems, i.e. interactive, multimodal media environments capable of responding to sensed activity at perceptual rates, into the toolbox of computational science practitioners. Drawing on enactivist, embodied approaches to design, we suggest that these responsive, experiential media systems, driven by models of complex system dynamics, can help provide an experiential, enactive mode of scientific computing in the form of perceptually instantaneous, seamless iterations of hypothesis generation and immersive gestural shaping of dense simulations when used together with existing high performance computing implementations and analytical tools. As a first study of such a system, we present EMA, an Experiential Model of the Atmosphere, a responsive media environment that uses immersive projection, spatialized audio, and infrared-filtered optical sensing to allow participants to interactively steer a computational model of cloud physics, exploring the necessary conditions for different atmospheric processes and phenomena through the movement and presence of their bodies and objects in the lab space.
AB - We present a stream of research on Experiential Complex Systems which aims to incorporate responsive, experiential media systems, i.e. interactive, multimodal media environments capable of responding to sensed activity at perceptual rates, into the toolbox of computational science practitioners. Drawing on enactivist, embodied approaches to design, we suggest that these responsive, experiential media systems, driven by models of complex system dynamics, can help provide an experiential, enactive mode of scientific computing in the form of perceptually instantaneous, seamless iterations of hypothesis generation and immersive gestural shaping of dense simulations when used together with existing high performance computing implementations and analytical tools. As a first study of such a system, we present EMA, an Experiential Model of the Atmosphere, a responsive media environment that uses immersive projection, spatialized audio, and infrared-filtered optical sensing to allow participants to interactively steer a computational model of cloud physics, exploring the necessary conditions for different atmospheric processes and phenomena through the movement and presence of their bodies and objects in the lab space.
KW - Computational steering
KW - Enactive interfaces
KW - Experiential media
KW - Responsive media
KW - Scientific computing
UR - http://www.scopus.com/inward/record.url?scp=85050616053&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-91581-4_10
DO - 10.1007/978-3-319-91581-4_10
M3 - Conference contribution
AN - SCOPUS:85050616053
SN - 9783319915807
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 126
EP - 144
BT - Virtual, Augmented and Mixed Reality
A2 - Fragomeni, Gino
A2 - Chen, Jessie Y.
PB - Springer Verlag
T2 - 10th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2018 Held as Part of HCI International 2018
Y2 - 15 July 2018 through 20 July 2018
ER -