Pegasos: a framework for the creation of direct mobile coaching feedback systems

IF 2.2 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal on Multimodal User Interfaces Pub Date : 2023-09-12 DOI:10.1007/s12193-023-00411-y
Martin Dobiasch, Stefan Oppl, Michael Stöckl, Arnold Baca
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引用次数: 1

Abstract

Abstract Feedback is essential for athletes in order to improve their sport performance. Feedback systems try to provide athletes and coaches not only with visualisations of acquired data, but moreover, with insights into—possibly—invisible aspects of their performance. With the widespread adoption of smartphones and the increase in their capabilities, their use as a device for applications of feedback systems is becoming increasingly popular. However, developing mobile feedback systems requires a high level of expertise from researchers and practitioners. The Direct Mobile Coaching model is a design-paradigm for mobile feedback systems. In order to reduce programming efforts, PEGASOS, a framework for creating feedback systems implementing the so-called Direct Mobile Coaching model, is introduced. The paper compares this framework with state-of-the-art research with regard to their ability of providing different variants feedback and offering multimodality to users.

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Pegasos:创建直接移动教练反馈系统的框架
为了提高运动员的运动表现,反馈是必不可少的。反馈系统不仅试图为运动员和教练提供所获得数据的可视化,而且还试图洞察他们表现中可能不可见的方面。随着智能手机的广泛采用及其功能的增加,它们作为反馈系统应用程序的设备正变得越来越受欢迎。然而,开发移动反馈系统需要来自研究人员和从业人员的高水平的专业知识。直接移动教练模型是移动反馈系统的设计范例。为了减少编程的工作量,引入了PEGASOS,一个用于创建执行所谓的直接移动教练模型的反馈系统的框架。本文将该框架与最新的研究进行了比较,比较了它们提供不同变体反馈和向用户提供多模态的能力。
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来源期刊
Journal on Multimodal User Interfaces
Journal on Multimodal User Interfaces COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
6.90
自引率
3.40%
发文量
12
审稿时长
>12 weeks
期刊介绍: The Journal of Multimodal User Interfaces publishes work in the design, implementation and evaluation of multimodal interfaces. Research in the domain of multimodal interaction is by its very essence a multidisciplinary area involving several fields including signal processing, human-machine interaction, computer science, cognitive science and ergonomics. This journal focuses on multimodal interfaces involving advanced modalities, several modalities and their fusion, user-centric design, usability and architectural considerations. Use cases and descriptions of specific application areas are welcome including for example e-learning, assistance, serious games, affective and social computing, interaction with avatars and robots.
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