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Embodied Swarm Robots: Investigating Size, Density, and Algorithms


核心概念
The author explores the embodiment of swarm robots through size, density, and algorithm variations in both VR and real-world settings.
摘要
Embodied swarm robots offer adaptability and intuitive interactions. The study investigates factors affecting embodiment like size, density, and algorithms. Results show higher embodiment with lower density and dynamic assignment algorithms. Swarm robots are designed to dynamically shape and interact with the environment. The study examines how different factors impact the sense of body ownership and agency in users. Results suggest that lower robot density leads to a higher sense of embodiment. The experiment compared different sizes of swarm robots to evaluate their level of embodiment. Findings indicate that smaller robots provide a higher sense of agency due to perceived larger movements relative to their size. Additionally, the bone-dynamic algorithm resulted in the highest level of embodiment.
統計資料
The body ownership score was significantly higher for sparse than dense conditions (𝑝 = .016). Agency scores were significantly higher for 20 mm than 30 mm robots (𝑝 = .016). Cognitive load was significantly affected by subgoal formation generation and assignment algorithm (𝐹 (2, 153) = 6.11).
引述
"It felt like some of the robots were my fingers." "I felt like I was controlling the movements of the swarm robot." "The bone-dynamic algorithm resulted in a significantly higher body ownership score."

從以下內容提煉的關鍵洞見

by Sosuke Ichih... arxiv.org 03-04-2024

https://arxiv.org/pdf/2402.15830.pdf
Swarm Body

深入探究

How do varying robot sizes impact user perception in real-world applications?

In real-world applications, varying robot sizes can have a significant impact on user perception. Larger robots may convey a sense of power and control to users, making them feel more connected to the robots and enhancing their sense of agency. On the other hand, smaller robots may be perceived as more delicate or precise, leading users to feel a greater level of finesse and intricacy in their interactions with the robots. The size of the robots can also influence how easily users can manipulate them physically, affecting their overall experience and embodiment of the robotic system.

What implications do these findings have for designing future embodied swarm robot systems?

The findings regarding varying robot sizes in embodied swarm robot systems provide valuable insights for future design considerations. Designers should carefully consider the impact of different robot sizes on user perception, embodiment, and interaction experiences. By understanding how users respond to different-sized robots, designers can tailor the physical characteristics of swarm robots to optimize embodiment levels and enhance user engagement. For example: Size Selection: Designers should select robot sizes based on specific use cases and desired user experiences. Larger robots may be suitable for tasks requiring strength or presence, while smaller robots could be ideal for intricate or detailed interactions. User Engagement: Ensuring that users feel a strong connection with swarm robots through appropriate sizing can improve overall engagement levels and promote a sense of ownership over the robotic system. Physical Interaction: Robot size directly impacts how users physically interact with them. Considering ergonomic factors when determining size can lead to more intuitive and comfortable interactions. Overall, these findings underscore the importance of considering varied robot sizes in designing embodied swarm robot systems to create optimal user experiences.

How might cultural differences influence the sense of embodiment with swarm robots?

Cultural differences play a crucial role in shaping individuals' perceptions and behaviors towards technology, including swarm robotics systems. These differences can significantly influence how people perceive embodiment with swarm robots: Cultural Norms: Cultural norms around technology use may affect individuals' comfort levels with interacting with robotic systems like embodied swarm robots. Some cultures may embrace technological advancements more readily than others. Perceptions of Robots: Cultural beliefs about machines as tools versus sentient beings can impact how individuals view embodying or controlling swarm robots as extensions of themselves. Interaction Styles: Cultures vary in communication styles and preferences for physical interaction; some cultures may prefer direct physical contact while others might prefer indirect methods such as gestures or verbal commands when interacting with technologies like swarm robotics. Designing culturally sensitive embodied swarm robot systems involves: Conducting cross-cultural research: Understanding diverse perspectives towards technology is essential for creating inclusive designs that resonate across different cultural contexts. Customizing interfaces: Adapting interface elements such as gestures or feedback mechanisms based on cultural preferences ensures that users from various backgrounds feel comfortable engaging with the system. By acknowledging cultural nuances in human-robot interaction design processes, developers can create more inclusive embodiments that cater to diverse user needs effectively
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