実世界における意思決定のジレンマ：状況的制約下でロボットが選択に苦しむとき
The Dilemma of Decision-Making in the Real World: When Robots Struggle to Make Choices Due to Situational Constraints
雑音の多い実環境で支援ロボットが直面する意思決定の課題を、ユーザーと環境の不確実性を組み込んだシナリオ分析で明らかにし、人間とロボットの協調による解決策を提案する。
著者: Khairidine Benali, Praminda Caleb-Solly
分類: cs.RO
原文アブストラクト
In order to demonstrate the limitations of assistive robotic capabilities in noisy real-world environments, we propose a Decision-Making Scenario analysis approach that examines the challenges due to user and environmental uncertainty, and incorporates these into user studies. The scenarios highlight how personalization can be achieved through more human-robot collaboration, particularly in relation to individuals with visual, physical, cognitive, auditory impairments, clinical needs, environmental factors (noise, light levels, clutter), and daily living activities. Our goal is for this contribution to prompt reflection and aid in the design of improved robots (embodiment, sensors, actuation, cognition) and their behavior, and we aim to introduces a groundbreaking strategy to enhance human-robot collaboration, addressing the complexities of decision-making under uncertainty through a Scenario analysis approach. By emphasizing user-centered design principles and offering actionable solutions to real-world challenges, this work aims to identify key decision-making challenges and propose potential solutions.
