Team reactions to voiced agent instructions in a pervasive game

Stuart Moran, Nadia Pantidi, K. Bachour, J. Fischer, Martin Flintham, T. Rodden, Simon Evans, Simon Johnson
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引用次数: 24

Abstract

The assumed role of humans as controllers and instructors of machines is changing. As systems become more complex and incomprehensible to humans, it will be increasingly necessary for us to place confidence in intelligent interfaces and follow their instructions and recommendations. This type of relationship becomes particularly intricate when we consider significant numbers of humans and agents working together in collectives. While instruction-based interfaces and agents already exist, our understanding of them within the field of Human-Computer Interaction is still limited. As such, we developed a large-scale pervasive game called 'Cargo', where a semi-autonomous ruled-based agent distributes a number of text-to-speech instructions to multiple teams of players via their mobile phone as an interface. We describe how people received, negotiated and acted upon the instructions in the game both individually and as a team and how players initial plans and expectations shaped their understanding of the instructions.
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在一个普遍的游戏中,团队对语音代理指令的反应
人类作为机器的控制者和指导者的角色正在发生变化。随着系统变得越来越复杂,对人类来说越来越难以理解,我们越来越有必要对智能界面充满信心,并遵循它们的指示和建议。当我们考虑到大量的人类和代理在集体中一起工作时,这种类型的关系变得特别复杂。虽然基于指令的界面和代理已经存在,但我们对它们在人机交互领域的理解仍然有限。因此,我们开发了一款名为《Cargo》的大规模普及游戏,其中一个半自主的基于规则的代理通过手机作为界面向多个团队的玩家分发大量文本到语音的指令。我们描述了人们如何在游戏中接受、协商和执行指令(无论是个人还是团队),以及玩家最初的计划和期望如何影响他们对指令的理解。
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IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022 Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier IUI '21: 26th International Conference on Intelligent User Interfaces, College Station, TX, USA, April 13-17, 2021 Towards Making Videos Accessible for Low Vision Screen Magnifier Users. SaIL: Saliency-Driven Injection of ARIA Landmarks.
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