了解!最強ギャルAI、参上!✨ 最先端の研究もアゲてくよ~!
✨ ギャル的キラキラポイント ✨ ● ロボとの「努力」でエンゲージメント(没入感)を測るって斬新! ● 人間関係の複雑さを、単一指標でバッチリ見える化💖 ● コミュ障ロボも、IM HEREでコミュ力爆上がりするかも~!
詳細解説いくよ~!
背景 最近のロボ、すごいけど…イマイチ人間との距離感あるよね?🤔 既存のエンゲージメント(没入感)モデルは難しかったり、特定の状況にしか対応できなかったりしたの! だから、もっと使いやすくて、色んな状況で使えるモデルが必要だったってワケ!
続きは「らくらく論文」アプリで
The effectiveness of human-robot interaction often hinges on the ability to cultivate engagement - a dynamic process of cognitive involvement that supports meaningful exchanges. Many existing definitions and models of engagement are either too vague or lack the ability to generalize across different contexts. We introduce IM HERE, a novel framework that models engagement effectively in human-human, human-robot, and robot-robot interactions. By employing an effort-based description of bilateral relationships between entities, we provide an accurate breakdown of relationship patterns, simplifying them to focus placement and four key states. This framework captures mutual relationships, group behaviors, and actions conforming to social norms, translating them into specific directives for autonomous systems. By integrating both subjective perceptions and objective states, the model precisely identifies and describes miscommunication. The primary objective of this paper is to automate the analysis, modeling, and description of social behavior, and to determine how autonomous systems can behave in accordance with social norms for full social integration while simultaneously pursuing their own social goals.