コルチゾールに着想を得た人間-ロボット相互作用フレームワークの検証:スティルフェイス・パラダイムの再現による評価
Validating a Cortisol-Inspired Framework for Human-Robot Interaction with a Replication of the Still Face Paradigm
愛着スタイルとコルチゾールの関係に基づき、人型ロボットiCubに相手の愛着スタイルを推定させる内部フレームワークを提案し、スティルフェイス・パラダイムの再現実験で検証した。
著者: Sara Mongile, Ana Tanevska, Francesco Rea, Alessandra Sciutti
分類: cs.RO
原文アブストラクト
When interacting with others in our everyday life, we prefer the company of those who share with us the same desire of closeness and intimacy (or lack thereof), since this determines if our interaction will be more o less pleasant. This sort of compatibility can be inferred by our innate attachment style. The attachment style represents our characteristic way of thinking, feeling and behaving in close relationship, and other than behaviourally, it can also affect us biologically via our hormonal dynamics. When we are looking how to enrich human-robot interaction (HRI), one potential solution could be enabling robots to understand their partners' attachment style, which could then improve the perception of their partners and help them behave in an adaptive manner during the interaction. We propose to use the relationship between the attachment style and the cortisol hormone, to endow the humanoid robot iCub with an internal cortisol inspired framework that allows it to infer participant's attachment style by the effect of the interaction on its cortisol levels (referred to as R-cortisol). In this work, we present our cognitive framework and its validation during the replication of a well-known paradigm on hormonal modulation in human-human interaction (HHI) - the Still Face paradigm.
