場の空気を読む：周囲環境と社会的文脈に適応するロボットの音声
Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
ロボットが周囲の環境や社会的文脈に合わせて音声スタイルを適応させる手法を提案し、飲食サービス場面での実験で知覚される知性や快適さが向上することを示した。
著者: Paige Tuttosi, Emma Hughson, Akihiro Matsufuji, Angelica Lim
分類: cs.RO, cs.AI
原文アブストラクト
How should a robot speak in a formal, quiet and dark, or a bright, lively and noisy environment? By designing robots to speak in a more social and ambient-appropriate manner we can improve perceived awareness and intelligence for these agents. We describe a process and results toward selecting robot voice styles for perceived social appropriateness and ambiance awareness. Understanding how humans adapt their voices in different acoustic settings can be challenging due to difficulties in voice capture in the wild. Our approach includes 3 steps: (a) Collecting and validating voice data interactions in virtual Zoom ambiances, (b) Exploration and clustering human vocal utterances to identify primary voice styles, and (c) Testing robot voice styles in recreated ambiances using projections, lighting and sound. We focus on food service scenarios as a proof-of-concept setting. We provide results using the Pepper robot's voice with different styles, towards robots that speak in a contextually appropriate and adaptive manner. Our results with N=120 participants provide evidence that the choice of voice style in different ambiances impacted a robot's perceived intelligence in several factors including: social appropriateness, comfort, awareness, human-likeness and competency.
