169,987 research outputs found

    dWatch: a Personal Wrist Watch for Smart Environments

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    Intelligent environments, such as smart homes or domotic systems, have the potential to support people in many of their ordinary activities, by allowing complex control strategies for managing various capabilities of a house or a building: lights, doors, temperature, power and energy, music, etc. Such environments, typically, provide these control strategies by means of computers, touch screen panels, mobile phones, tablets, or In-House Displays. An unobtrusive and typically wearable device, like a bracelet or a wrist watch, that lets users perform various operations in their homes and to receive notifications from the environment, could strenghten the interaction with such systems, in particular for those people not accustomed to computer systems (e.g., elderly) or in contexts where they are not in front of a screen. Moreover, such wearable devices reduce the technological gap introduced in the environment by home automation systems, thus permitting a higher level of acceptance in the daily activities and improving the interaction between the environment and its inhabitants. In this paper, we introduce the dWatch, an off-the-shelf personal wearable notification and control device, integrated in an intelligent platform for domotic systems, designed to optimize the way people use the environment, and built as a wrist watch so that it is easily accessible, worn by people on a regular basis and unobtrusiv

    Crossroads: Interactive Music Systems Transforming Performance, Production and Listening

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    date-added: 2017-12-22 18:26:58 +0000 date-modified: 2017-12-22 18:38:33 +0000 keywords: mood-based interaction, intelligent music production, HCI local-url: https://qmro.qmul.ac.uk/xmlui/handle/123456789/12502 publisher-url: http://mcl.open.ac.uk/music-chi/uploads/19/HCIMUSIC_2016_paper_15.pdf bdsk-url-1: https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/12502/Barthet%20Crossroads%3A%20Interactive%20Music%20Systems%202016%20Accepted.pdfdate-added: 2017-12-22 18:26:58 +0000 date-modified: 2017-12-22 18:38:33 +0000 keywords: mood-based interaction, intelligent music production, HCI local-url: https://qmro.qmul.ac.uk/xmlui/handle/123456789/12502 publisher-url: http://mcl.open.ac.uk/music-chi/uploads/19/HCIMUSIC_2016_paper_15.pdf bdsk-url-1: https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/12502/Barthet%20Crossroads%3A%20Interactive%20Music%20Systems%202016%20Accepted.pdfdate-added: 2017-12-22 18:26:58 +0000 date-modified: 2017-12-22 18:38:33 +0000 keywords: mood-based interaction, intelligent music production, HCI local-url: https://qmro.qmul.ac.uk/xmlui/handle/123456789/12502 publisher-url: http://mcl.open.ac.uk/music-chi/uploads/19/HCIMUSIC_2016_paper_15.pdf bdsk-url-1: https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/12502/Barthet%20Crossroads%3A%20Interactive%20Music%20Systems%202016%20Accepted.pdfWe discuss several state-of-the-art systems that propose new paradigms and user workflows for music composition, production, performance, and listening. We focus on a selection of systems that exploit recent advances in semantic and affective computing, music information retrieval (MIR) and semantic web, as well as insights from fields such as mobile computing and information visualisation. These systems offer the potential to provide transformative experiences for users, which is manifested in creativity, engagement, efficiency, discovery and affect

    Towards connecting people, locations and real-world events in a cellular network

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    The success of personal mobile communication technologies has led an emerging expansion of the telecommunication infrastructure but also to an explosion to mobile broadband data traffic as more and more people completely rely on their mobile devices, either for work or entertainment. The continuously interaction of their mobile devices with the mobile network infrastructure creates digital traces that can be easily logged by the network operators. These digital traces can be further used, apart from billing and resource management, for large-scale population monitoring using mobile traffic analysis. They could be integrated into intelligent systems that could help at detecting exceptional events such as riots, protests or even at disaster preventions with minimal costs and improve people safety and security, or even save lives. In this paper we study the use of fully anonymized and highly aggregate cellular network data, like Call Detail Records (CDRs) to analyze the telecommunication traffic and connect people, locations and events. The results show that by analyzing the CDR data exceptional spatio-temporal patterns of mobile data can be correlated to real-world events. For example, high user network activity was mapped to religious festivals, such as Ramadan, Le Grand Magal de Touba and the Tivaouane Maouloud festival. During the Ramadan period it was noticed that the communication pattern doubled during the night with a slow start during the morning and along the day. Furthermore, a peak increase in the number of voice calls and voice calls duration in the area of Kafoutine was mapped to the Casamance Conflict in the area which resulted in four deaths. Thus, these observations could be further used to develop an intelligent system that detects exceptional events in real-time from CDRs data monitoring. Such system could be used in intelligent transportation management, urban planning, emergency situations, network resource allocation and performance optimization, etc

    Incorporating android conversational agents in m-learning apps

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    Smart Mobile Devices Have Fostered New Learning Scenarios That Demand Sophisticated Interfaces. Multimodal Conversational Agents Have Became A Strong Alternative To Develop Human-Machine Interfaces That Provide A More Engaging And Human-Like Relationship Between Students And The System. The Main Developers Of Operating Systems For Such Devices Have Provided Application Programming Interfaces For Developers To Implement Their Own Applications, Including Different Solutions For Developing Graphical Interfaces, Sensor Control And Voice Interaction. Despite The Usefulness Of Such Resources, There Are No Strategies Defined For Coupling The Multimodal Interface With The Possibilities That These Devices Offer To Enhance Mobile Educative Apps With Intelligent Communicative Capabilities And Adaptation To The User Needs. In This Paper, We Present A Practical M-Learning Application That Integrates Features Of Android Application Programming Interfaces On A Modular Architecture That Emphasizes Interaction Management And Context-Awareness To Foster User-Adaptively, Robustness And Maintainability.This work was supported in part by Projects MINECO TEC2012-37832-C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485
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