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• Unobtrusive identification of cognitive states for improved knowledge acquisition

  Tag B., Sugiura K.

  UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers （UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers）     559 - 564 2018年10月

  ISSN  9781450359665

  　概要を見る

  © 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. One of the major steps in the evolution of Human-computer interaction (HCI) is the introduction of physiological computing. Real-time measurements and analysis of physiological signals through sensors help opening up an implicit communication channel between computers and their users. Awareness of the user's emotional and cognitive states allow computers to react and adapt in real time, and therefore potentially maximize HCI performance efficiency and communication. Ubiquitous wearable computing enables us to make use of computational power in everyday situations. This liberates experiments and applications from necessary heavy stationary devices and controlled laboratory environments. Physiological computing has been used to increase the efficiency of performance, and improve the pleasure derived from interacting with computers. By analyzing physiological data from the user, cognitive states can be monitored and identified [6]. Thereby, the computer becomes aware of the physical, mental, and emotional context of a user. Consequently, the physical data describing negative or positive states can be used as an input modality to dynamically adjust the system, e.g. by altering certain contents, by providing assistance with additional information, turning on/off of certain functions, or triggering a reminder to take a break or walk when sleepiness or frustration result in decreasing attention. These context-aware systems have a proactive nature and therefore omit the necessity for explicit input devices, such as a mouse or a keyboard. They are able to create an interactive loop between a user and a computer. Since the user is constantly processing the information received (e.g. from a watched video), and the ubiquity of mobile devices allows for sensor data to be constantly monitored and processed, we can create biocybernetic loops that are able to respond to desirable and undesirable states [13].

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• A semantic HTML based approach for geosensor media

  Xiao R., Wu Z., Sugiura K.

  GeoInformatica （GeoInformatica）  22 （ 1 ） 105 - 126 2018年01月

  ISSN  13846175

  　概要を見る

  © 2016, Springer Science+Business Media New York. Over the past decade, with rapid development of sensor built-in mobile devices, wireless ad-hoc sensor networks and open sensor platforms, the traditional technocratic Geosensor webs now are experiencing a transition towards an emerging end-user-oriented Geosensor media, through which ordinary users are able to freely process, recreate and disseminate sensor data and information for self-expression, collaborative tasks or collective wisdom etc. In this paper, we discussed the concept, implication and potential issues of Geosensor media. A general framework involving semantic interaction, geospatial interface and participatory sensing was brought out, and a typical prototype was implemented and evaluated.

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