Responsive robot gaze to interaction partner

Abstract

Abstract-Eyes play a central role in human-human communication, for example, in directing attention and regulating turntaking. For this reason, the eyes have been a central topic in several fields of interaction study. Although many psychological findings have encouraged previous work in both human-computer and human-robot interaction studies, there have been few explorations from the viewpoint of the timing of gaze behavior. In this study, the impression a person forms from an interaction is regarded to be strongly influenced by the feeling of being looked at which is assumed to be based on the responsiveness of the other's gaze to the person's one and be the basis of impression conveyance as a communicative being. In this paper, we built a robot that could move its gaze responsively to its interaction partner's one to explore the effect of responsive gaze. In this paper, we evaluated two primitive ways of controlling a robot's gaze responsively to its partner and confirmed that robots with such responsive gaze could give stronger feeling of being looked at than ones with non-responsive gaze.

Efficient template-based path imitation by invariant feature mapping

“…To address issues concerning attention and perception, a hierarchical model was presented in [2]. For methodologies to teach robots to learn new skills, while Muench et al proposed to ask the demonstrators explicit questions in order to generalise an action [3], some others made use of reinforcement learning to extract useful information ( [4], [5]). Many of these research directions can be encapsulated by the 4 "W"s & 1 "H" of imitation -namely who, where, when, what and how.…”

Can Children Take Advantage of Nao Gaze-Based Hints During GamePlay?

“…For example, Yoshikawa et al [36] show that responsive robot gazes induce stronger feelings of being looked at compared to non-responsive gazes. Andrist et al [3] combined facetracking and head detection functionalities to create conversational gazes for NAO platform.…”

Towards One Shot Learning by imitation for humanoid robots

“…For each m l in the template, there exists q ≥ 0 mapped coordinates as possible candidates for m ′ l in the task defined by (4). As these coordinates are often at sub-pixel level, the minimum energy enforcement is relaxed and thresholded to accommodate neighbouring coordinates.…”

“…An increased interest in learning algorithms that will equip robots to learn by imitation of actions from both humans and other robotic agents has resulted in many research directions within the area. For instance, a hierarchical model [2] was proposed in the domain of human-robot interaction (HRI) for attention and perception, while some other research focused on skill teaching methodologies ( [3], [4]) using a range of techniques. Many of these research directions can be encapsulated by the 5 "W"s of imitation -namely who, where, when, what and how.…”