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Personal and Ubiquitous Computing最新文献

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“Foggy sounds like nothing” — enriching the experience of voice assistants with sonic overlays “雾听起来什么都不像”——通过声音叠加丰富语音助手的体验
Q1 Social Sciences Pub Date : 2023-06-06 DOI: 10.1007/s00779-023-01722-3
Margarita Esau-Held, A. Marsh, Veronika Krauß, G. Stevens
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引用次数: 0
ENSA dataset: a dataset of songs by non-superstar artists tested with an emotional analysis based on time-series ENSA数据集:通过基于时间序列的情感分析测试的非超级明星艺术家的歌曲数据集
Q1 Social Sciences Pub Date : 2023-06-05 DOI: 10.1007/s00779-023-01721-4
Yesid Ospitia-Medina, J. R. Beltrán, S. Baldassarri
{"title":"ENSA dataset: a dataset of songs by non-superstar artists tested with an emotional analysis based on time-series","authors":"Yesid Ospitia-Medina, J. R. Beltrán, S. Baldassarri","doi":"10.1007/s00779-023-01721-4","DOIUrl":"https://doi.org/10.1007/s00779-023-01721-4","url":null,"abstract":"","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47405467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale Ciao AI:聊天机器人可用性量表的意大利改编和验证
Q1 Social Sciences Pub Date : 2023-06-01 DOI: 10.1007/s00779-023-01731-2
S. Borsci, E. Prati, A. Malizia, Martin Schmettow, Alan Chamberlain, S. Federici
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引用次数: 1
Investigating performance ecologies using screen scores: a case study 使用屏幕分数调查绩效生态:一个案例研究
Q1 Social Sciences Pub Date : 2023-05-20 DOI: 10.1007/s00779-023-01719-y
Raul Masu, Mela Bettega, Nuno N. Correia, T. Romão
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引用次数: 1
Auditory feedback in tele-rehabilitation based on automated gait classification 基于自动步态分类的远程康复听觉反馈
Q1 Social Sciences Pub Date : 2023-05-16 DOI: 10.1007/s00779-023-01723-2
Victor Adriel de Jesus Oliveira, Djordje Slijepčević, Bernhard Dumphart, Stefan Ferstl, Joschua Reis, Anna-Maria Raberger, Mario Heller, Brian Horsak, Michael Iber
Abstract In this paper, we describe a proof-of-concept for the implementation of a wearable auditory biofeedback system based on a sensor-instrumented insole. Such a system aims to assist everyday users with static and dynamic exercises for gait rehabilitation interventions by providing auditory feedback based on plantar pressure distribution and automated classification of functional gait disorders. As ground reaction force (GRF) data are frequently used in clinical practice to quantitatively describe human motion and have been successfully used for the classification of gait patterns into clinically relevant classes, a feed-forward neural network was implemented on the firmware of the insoles to estimate the GRFs using pressure and acceleration data. The estimated GRFs approximated well the GRF measurements obtained from force plates. To distinguish between physiological gait and gait disorders, we trained and evaluated a support vector machine with labeled data from a publicly accessible dataset. The automated gait classification was then sonified for auditory feedback. The potential of the implemented auditory feedback for preventive and supportive applications in physical therapy was finally assessed with both expert and non-expert participants. A focus group revealed experts’ expectations for the proposed system, while a usability study assessed the clarity of the auditory feedback to everyday users. The evaluation shows promising results regarding the usefulness of our system in this application area.
在本文中,我们描述了一种基于传感器仪表鞋垫的可穿戴听觉生物反馈系统的概念验证。该系统旨在通过提供基于足底压力分布的听觉反馈和功能性步态障碍的自动分类,帮助日常用户进行静态和动态的步态康复干预练习。由于地面反作用力(GRF)数据在临床实践中经常用于定量描述人体运动,并已成功地用于将步态模式分类为临床相关的类别,因此在鞋垫固件上实现了前馈神经网络,以利用压力和加速度数据估计GRF。估计的GRF很好地近似于从力板得到的GRF测量值。为了区分生理步态和步态障碍,我们使用来自公开可访问数据集的标记数据训练和评估支持向量机。然后对自动步态分类进行声音处理以获得听觉反馈。听觉反馈在物理治疗中的预防性和支持性应用的潜力最终被专家和非专家参与者评估。焦点小组揭示了专家对拟议系统的期望,而可用性研究评估了日常用户听觉反馈的清晰度。评估显示了我们的系统在这个应用领域的有用性方面有希望的结果。
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引用次数: 4
Visualyre: multimodal album art generation for independent musicians Visualyre:独立音乐人的多模式专辑艺术生成
Q1 Social Sciences Pub Date : 2023-05-15 DOI: 10.1007/s00779-023-01724-1
Gamar Azuaje, Kongmeng Liew, Elena V. Epure, Shuntaro Yada, Shoko Wakamiya, E. Aramaki
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引用次数: 0
New directions in convergence computing 收敛计算的新方向
Q1 Social Sciences Pub Date : 2023-05-05 DOI: 10.1007/s00779-023-01728-x
Junseok Yoo, J. Jeong, S. Jo
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引用次数: 0
Multimedia and multimodal sensing for personalized healthcare 用于个性化医疗保健的多媒体和多模式传感
Q1 Social Sciences Pub Date : 2023-05-03 DOI: 10.1007/s00779-023-01727-y
P. Karrupusamy, H. Wee, Yong Shi
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引用次数: 0
My smart home: an auto-ethnography of learning to live with smart technologies. 我的智能家居:学习使用智能技术生活的自动民族志。
Q1 Social Sciences Pub Date : 2023-04-15 DOI: 10.1007/s00779-023-01725-0
Line Kryger Aagaard, Toke Haunstrup Christensen, Kirsten Gram-Hanssen

Smart home technology is expected to be widespread in the future and to accommodate a green transition to reduce and time-shift energy consumption. However, smart technologies also have social consequences, which are important to understand. At a basic level, we need to know more about learning to live with these technologies and how they influence our everyday practices and routines. Providing in-depth longitudinal insights into these processes, this paper presents an auto-ethnography of living with smart home technology: a 20-month diary kept by one of the authors. The paper uses theories of practice to investigate details of learning processes when interacting with three selected technologies: smart alarm and lighting management, smart control of heating, and a smart electric vehicle (EV). Theories of learning have a well-established tradition within theories of practice, and the concept of "knowing how to go on" and the concept of practical intelligibility are central in this work. This paper investigates the adoption of new smart technologies and how they interact with learning processes in different material and social contexts. Such an approach can lay the groundwork for further empirical research with a broader set of materials. It can also provide knowledge to assist in the design of better technologies and in developing policies and regulations to promote this.

智能家居技术预计将在未来广泛应用,并适应绿色转型,以减少能源消耗并随时间推移。然而,智能技术也会产生社会后果,这一点需要理解。在基本层面上,我们需要更多地了解如何学会与这些技术共存,以及它们如何影响我们的日常实践和日常生活。本文对这些过程提供了深入的纵向见解,提出了一个使用智能家居技术生活的汽车民族志:一位作者写了一本20个月的日记。本文运用实践理论研究了与三种选定技术交互时的学习过程细节:智能报警和照明管理、智能供暖控制和智能电动汽车。学习理论在实践理论中有着悠久的传统,“知道如何继续”的概念和实践可理解性的概念是这项工作的核心。本文调查了新智能技术的采用情况,以及它们如何在不同的物质和社会背景下与学习过程互动。这种方法可以为更广泛的材料进行进一步的实证研究奠定基础。它还可以提供知识,协助设计更好的技术,并制定促进这一点的政策和条例。
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引用次数: 0
Fortified Cuckoo Search Algorithm on training multi-layer perceptron for solving classification problems 强化布谷鸟搜索算法训练多层感知器解决分类问题
Q1 Social Sciences Pub Date : 2023-03-31 DOI: 10.1007/s00779-023-01716-1
K. Thirugnanasambandam, U. Prabu., D. Saravanan, Dinesh Kumar Anguraj, R. Raghav
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引用次数: 0
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Personal and Ubiquitous Computing
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