Page 354 - Sensing, Intelligence, Motion : How Robots and Humans Move in an Unstructured World
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CHAPTER 7

            Human Performance in Motion
            Planning





                   I ... do not direct myself so badly. If it looks ugly on the right, I take the left ...
                   Have I left something unseen behind me? I go back; it is still on my road. I trace
                   no fixed line, either straight or crooked.
                                            —Michel de Montaigne (1533–1592), The Essays




            7.1 INTRODUCTION

            It is time to admit that we will not be able to completely fulfill the promise
            contained in this book’s subtitle—explain how humans plan their motion. This
            would be good to do—such knowledge would help us in many areas—but we
            are not in a position to do so. Today we know precious little about how human
            motion decision-making works, certainly not on the level of algorithmic detail
            comparable to what we know about robot motion planning. To be sure, in the
            literature on psychophysical and cognitive science analysis of human motor skills
            one will find speculations about the nature of human motion planning strategies.
            One can even come up with experimental tests designed to elucidate such strate-
            gies. The fact is, however, that the sum of this knowledge tells us only what
            those human strategies might be, not what they are.
              Whatever those unknown strategies that humans use to move around, we can,
            however, study those strategies’ performance. By using special tests, adhering to
            carefully calibrated test protocols designed to elucidate the right questions, and by
            carrying out those tests on statistically significant groups of human subjects, we
            can resolve how good we humans are at planning our motion. Furthermore, we
            can (and will) subject robot sensor-based motion planning algorithms to the same
            tests—making sure we keep the same test conditions—and make far-reaching
            conclusions that can be used in the design of complex systems involving human
            operators.
              Clearly, the process of testing human subjects has to be very different from
            the process of designing and testing robot algorithms that we undertook in prior
            Sensing, Intelligence, Motion, by Vladimir J. Lumelsky
            Copyright  2006 John Wiley & Sons, Inc.
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