Page 93 - Designing Sociable Robots
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breazeal-79017  book  March 18, 2002  14:2





                       74                                                               Chapter 6





                         Behaviorally, the robot will continue to search upon encountering a static object of high
                       raw saliency but of the wrong feature. Upon encountering a static object possessing the right
                       saliency feature, the robot successfully terminates search and begins to visually engage the
                       object. However, the search behavior sets the attention gains to allow Kismet to attend to
                       a stimulus possessing the wrong saliency feature if it is also supplemented with motion.
                       Hence, if a person really wants to attract the robot’s attention to a specific target that the
                       robot is not actively seeking out, then he/she is still able to do so.
                         During engagement, the gains are set so that Kismet slightly prefers those stimuli pos-
                       sessing the favored feature. If a stimulus of the favored feature is not present, a stimulus
                       possessing the unfavored feature is sufficient to attract the robot’s attention. Thus, while en-
                       gaged, the robot can satiate other motivations in an opportunistic manner when the desired
                       stimulus is not present. If, however, the robot is unable to satiate a specific motivation for
                       a prolonged time, the motive to engage that stimuli will increase until the robot eventually
                       breaks engagement to preferentially search for the desired stimulus.

                       Effect of Gain Adjustment on Looking Preference
                       Figure 6.8 illustrates how top-down gain adjustments combine with bottom-up habituation
                       effects to bias the robot’s gaze. When the seek-people behavior is active, the skin-tone
                       gain is enhanced and the robot prefers to look at a face over a colorful toy. The robot
                       eventually habituates to the face stimulus and switches gaze briefly to the toy stimulus.
                       Once the robot has moved its gaze away from the face stimulus, the habituation is reset and
                       the robot rapidly reacquires the face. In one set of behavioral trials when seek-people
                       was active, the robot spent 80 percent of the time looking at the face. A similar affect can
                       be seen when the seek-toy behavior is active—the robot prefers to look at a toy (rather
                       than a face) 83 percent of the time.
                         The opposite effect is apparent when the avoid-people behavior is active. In this case,
                       the skin-tone gain is suppressed so that faces become less salient and are more rapidly
                       affected by habituation. Because the toy is relatively more salient than the face, it takes
                       longer for the robot to habituate. Overall, the robot looks at faces only 5 percent of the
                       time when in this behavioral context. A similar scenario holds when the robot’s avoid-toy
                       behavior is active—the robot looks at toys only 24 percent of the time.
                       Socially Manipulating Attention

                       Figure 6.9 shows an example of the attention system in use, choosing stimuli that are
                       potentially behaviorally relevant in a complex scene. The attention system runs all the time,
                       even when it is not controlling gaze direction, since it determines the perceptual input to
                       which the motivational and behavioral systems respond. Because the robot attends to a
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