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首页> 外文期刊>Frontiers in Neuroscience >Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback
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Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback

机译:通过心理生理和性能反馈同时适应游戏难度和触觉协助,提高多模式界面中的挑战/技能比率

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摘要

In order to harmonize robotic devices with human beings, the robots should be able to perceive important psychosomatic impact triggered by emotional states such as frustration or boredom. This paper presents a new type of biocooperative control architecture, which acts toward improving the challenge/skill relation perceived by the user when interacting with a robotic multimodal interface in a cooperative scenario. In the first part of the paper, open-loop experiments revealed which physiological signals were optimal for inclusion in the feedback loop. These were heart rate, skin conductance level, and skin conductance response frequency. In the second part of the paper, the proposed controller, consisting of a biocooperative architecture with two degrees of freedom, simultaneously modulating game difficulty and haptic assistance through performance and psychophysiological feedback, is presented. With this setup, the perceived challenge can be modulated by means of the game difficulty and the perceived skill by means of the haptic assistance. A new metric ( FlowIndex ) is proposed to numerically quantify and visualize the challenge/skill relation. The results are contrasted with comparable previously published work and show that the new method afforded a higher FlowIndex (i.e., a superior challenge/skill relation) and an improved balance between augmented performance and user satisfaction (higher level of valence, i.e., a more enjoyable and satisfactory experience).
机译:为了使机器人设备与人类协调一致,机器人应该能够感知由沮丧或无聊等情绪状态触发的重要心身影响。本文提出了一种新型的生物合作控制架构,该架构可改善在协作场景中与机器人多模式界面交互时用户感知的挑战/技能关系。在论文的第一部分中,开环实验揭示了哪些生理信号最适合包含在反馈回路中。这些是心率,皮肤电导水平和皮肤电导响应频率。在论文的第二部分中,提出了所提出的控制器,该控制器由具有两个自由度的生物合作架构组成,同时通过性能和心理生理反馈来调节游戏难度和触觉辅助。通过这种设置,可以通过游戏难度和通过触觉辅助来调节感知技能来调节感知挑战。提出了一种新的度量标准(FlowIndex)来对挑战/技能关系进行数值量化和可视化。结果与以前发表的同类研究结果进行了对比,表明新方法具有更高的FlowIndex(即更好的挑战/技能关系)和增强的性能与用户满意度之间的平衡(更高的价位,即更令人愉悦)和令人满意的经验)。

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