一个生物启发的决策系统,用于社会机器人的自主自适应行为
Marcos Maroto-Gómez1, Álvaro Castro-González1, María Malfaz1
1Systems Engineering and Automation, University Carlos III of Madrid, Butarque 15, 28911 Leganés, Madrid Spain.
Complex & intelligent systems
|June 26, 2023
概括
这项研究介绍了一种新的社会机器人的决策系统,通过适应性,生物启发的行为来增强长期的人机交互. 该系统实现了卓越的可用性和用户对智能和可喜感的积极感知.
科学领域:
- 人与机器人的交互
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 社交机器人需要适应性和社交行为,以便在复杂,动态的环境中有效地做出决策.
- 长期的互动,如认知刺激和娱乐,需要个性化的参与策略.
- 现有的系统可能难以适应用户的特性和偏好,限制互动.
研究的目的:
- 为社会机器人推出一种新的决策系统,旨在实现长期互动.
- 为了使自主社会机器人能够表现出适应性和社会启发性行为.
- 通过适应用户功能和偏好来个性化交互并保持用户参与度.
主要方法:
- 开发了一个结合机器人传感器,用户信息和生物灵感模块的决策系统.
- 在"迷你"社交机器人上实现了该系统,用于实验.
- 对30名参与者进行了可用性评估,并使用Godspeed问卷对19名参与者进行了用户感知评估.
主要成果:
- 决策系统实现了卓越的可用性,在100分中获得了81.08分.
- 参与者认为机器人是聪明的 (4.28/5),动画的 (4.07/5),和可爱的 (4.16/5).
- 感知安全 (3.15/5) 的得分较低,可能是由于用户无法影响机器人决策.
结论:
- 拟议的决策系统有效地提高了社会机器人在长期互动中的性能.
- 该系统成功地个性化了参与,并适应了用户,提高了交互质量.
- 可能需要进一步的研究来解决用户对安全和自主决策控制的看法.
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