Abstract
| Language | English |
|---|---|
| Pages | e5749 |
| Journal | PLoS ONE |
| Volume | 4 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2009 |
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Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics. / Kelso, J.A. Scott; Guzman, Gonzalo C.; Reveley, Colin; Tognoli, Emmanuelle.
In: PLoS ONE, Vol. 4, No. 6, 06.2009, p. e5749.Research output: Contribution to journal › Article
TY - JOUR
T1 - Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics
AU - Kelso, J.A. Scott
AU - Guzman, Gonzalo C.
AU - Reveley, Colin
AU - Tognoli, Emmanuelle
PY - 2009/6
Y1 - 2009/6
N2 - Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual Partner Interaction—a coupleddynamical system for studying real time interaction between a human and a machine. In this proof of concept study, humansubjects coordinate hand movements with a virtual partner, an avatar of a hand whose movements are driven by acomputerized version of the Haken-Kelso-Bunz (HKB) equations that have been shown to govern basic forms of humancoordination. As a surrogate system for human social coordination, VPI allows one to examine regions of the parameterspace not typically explored during live interactions. A number of novel behaviors never previously observed are uncoveredand accounted for. Having its basis in an empirically derived theory of human coordination, VPI offers a principled approachto human-machine interaction and opens up new ways to understand how humans interact with human-like machinesincluding identification of underlying neural mechanisms.
AB - Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual Partner Interaction—a coupleddynamical system for studying real time interaction between a human and a machine. In this proof of concept study, humansubjects coordinate hand movements with a virtual partner, an avatar of a hand whose movements are driven by acomputerized version of the Haken-Kelso-Bunz (HKB) equations that have been shown to govern basic forms of humancoordination. As a surrogate system for human social coordination, VPI allows one to examine regions of the parameterspace not typically explored during live interactions. A number of novel behaviors never previously observed are uncoveredand accounted for. Having its basis in an empirically derived theory of human coordination, VPI offers a principled approachto human-machine interaction and opens up new ways to understand how humans interact with human-like machinesincluding identification of underlying neural mechanisms.
U2 - 10.1371/journal.pone.0005749
DO - 10.1371/journal.pone.0005749
M3 - Article
VL - 4
SP - e5749
JO - PLoS ONE
T2 - PLoS ONE
JF - PLoS ONE
SN - 1932-6203
IS - 6
ER -