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Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions


핵심 개념
The author explores the impact of human-centric factors on UAV trajectory planning for Search and Rescue missions, emphasizing the integration of multi-objective reinforcement learning with AHP and similarity-based experience replay to optimize operational efficiency while considering human comfort and safety.
초록
The content delves into the significance of human-centric factors in UAV trajectory planning for Search and Rescue (SAR) missions. It introduces a novel approach that combines reinforcement learning with Analytic Hierarchy Process (AHP) and similarity-based experience replay to balance operational objectives with human considerations. The study investigates gender cues, anthropomorphism, and their effects on public acceptance, trust, mission success, and interaction strategies in SAR contexts. By integrating these factors into UAV design and operation within Human-Drone Interaction frameworks, the research aims to enhance mission effectiveness, user comfort, and acceptance. Key points include: Importance of integrating human-centric values in UAV trajectory planning for SAR missions. Novel approach combining reinforcement learning with AHP and similarity-based experience replay. Analysis of gender cues, anthropomorphism impact on drone design in SAR contexts. Focus on optimizing operational efficiency while considering human preferences. Emphasis on designing drones aligned with user expectations to improve mission success.
통계
"Our contributions include (1) a reinforcement learning framework for UAV trajectory planning that dynamically integrates multi-objective considerations." "Additionally, through a comprehensive survey, we investigate the impact of gender cues and anthropomorphism in UAV design on public acceptance." "Factors such as size, design, and color play pivotal roles in anthropomorphizing drone designs."
인용구
"Aligning a robot’s appearance and capabilities with user expectations further boosts acceptance." "Drones featuring social traits decrease perceived distance for human interaction." "The study underscores the importance of gender cues in drone design."

더 깊은 질문

How can the integration of gender cues in drone design impact mission success?

The integration of gender cues in drone design can significantly impact mission success by influencing human perceptions and interactions. Research has shown that drones featuring social traits, such as a voice or a face, decrease perceived distance for human interaction, thus improving acceptance. In Search and Rescue (SAR) missions where human-drone interaction is crucial, incorporating gender cues can enhance engagement and interactions. Gender-specific design elements like voices and adjustments in movement speed based on gender attributes can influence user preferences, comfort levels, and safety perceptions during missions. By aligning drone designs with societal expectations related to gender roles and characteristics, drones are more likely to be accepted by users, leading to improved mission outcomes.

What are the implications of anthropomorphism in enhancing user acceptance of drones?

Anthropomorphism plays a significant role in enhancing user acceptance of drones by making them more relatable and familiar to humans. By adding human-like features or behaviors to robots or drones through anthropomorphism, designers aim to improve familiarity and acceptance among users. Studies have shown that incorporating anthropomorphic features like facial expressions or gestures enhances connection and trust between humans and robots. In the context of SAR missions where effective communication between humans and drones is essential for successful operations, anthropomorphism can facilitate better engagement with UAVs. Users may feel more comfortable interacting with drones that exhibit social traits similar to humans due to the sense of familiarity it creates.

How might societal norms influence perceptions of drones based on gender attributes?

Societal norms play a crucial role in shaping perceptions of drones based on their gender attributes. Gender stereotypes prevalent in society often influence how individuals perceive objects or entities associated with specific genders. In the case of non-humanoid robots like drones designed with gendered attributes such as masculine or feminine features, societal norms may dictate how these robots are perceived by users. For example, if a drone is designed with traditionally masculine characteristics like strength or assertiveness, it may be associated with efficiency or reliability in certain tasks within SAR missions traditionally viewed as male-dominated roles. On the other hand, if a drone exhibits feminine traits such as nurturing qualities or gentleness, it may be perceived as approachable and comforting to users. These preconceived notions about gender roles can shape how individuals interact with drones in different contexts, highlighting the importance of considering societal norms when designing UAVs for various applications including search-and-rescue missions.
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