Understanding how humans assist each other in haptic interaction teams could lead to improved robotic aids to solo human dextrous manipulation. Inspired by experiments re- ported in Reed et al. , which suggested two-person haptically interacting teams could achieve a lower movement time (MT) than individuals for discrete aiming movements of specified accuracy, we report that two-person teams (dyads) can also achieve lower MT for cyclical, continuous aiming movements. We propose a model, called endpoint compromise, for how the intended endpoints of both subjects' motion combine during haptic interaction; it predicts a ratio of √2 between slopes of MT fits for individuals and dyads. This slope ratio prediction is supported by our data. © 2005 IEEE.
|Original language||English (US)|
|Title of host publication||2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS|
|Publisher||IEEE Computer Societyhelp@computer.org|
|Number of pages||6|
|State||Published - Jan 1 2005|