Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges
Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges
复制标题
人群交互的混合主动系统：机遇和挑战
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
H. Abbass
中科院分区：
文献类型：
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作者：
Aya Hussein;H. Abbass
人群交互（HSI）涉及到许多影响人类行为的人为因素。随着HSI中使用的技术的进步，在交互中提高群体自治的水平以减少人类的工作量变得更加诱人。然而，高度自治对人类情境意识的预期负面影响可能会阻碍这一过程。灵活的自主性旨在通过在需要时改变交互中的自主性水平来权衡这些影响;混合主动性结合了人类偏好和自动化的建议，以在某个时间点选择适当的自主性水平。然而，混合主动系统的有效实施提出了一些基本问题：如何将联合收割机人类偏好和自动化建议结合起来，如何实现选定的自主水平，以及未来对人类认知状态的影响。我们探讨了阻碍发展有效灵活自治进程的公开挑战。然后，我们强调使用系统建模技术在HSI的潜在好处，说明他们如何提供HSI设计师有机会评估不同的策略，评估状态的使命和适应的自主性水平内的互动，以最大限度地提高使命的成功指标。
Human-swarm interaction (HSI) involves a number of human factors impacting human behaviour throughout the interaction. As the technologies used within HSI advance, it is more tempting to increase the level of swarm autonomy within the interaction to reduce the workload on humans. Yet, the prospective negative effects of high levels of autonomy on human situational awareness can hinder this process. Flexible autonomy aims at trading-off these effects by changing the level of autonomy within the interaction when required; with mixed-initiatives combining human preferences and automation’s recommendations to select an appropriate level of autonomy at a certain point of time. However, the effective implementation of mixed-initiative systems raises fundamental questions on how to combine human preferences and automation recommendations, how to realise the selected level of autonomy, and what the future impacts on the cognitive states of a human are. We explore open challenges that hamper the process of developing effective flexible autonomy. We then highlight the potential benefits of using system modelling techniques in HSI by illustrating how they provide HSI designers with an opportunity to evaluate different strategies for assessing the state of the mission and for adapting the level of autonomy within the interaction to maximise mission success metrics.