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ThinkMind // CENTRIC 2018, The Eleventh International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article centric_2018_1_10_30004


Approach to Develop an Assistant Application for Controlling Trace Accuracy in Travel Timelines

Authors:
Andrei Kuznetsov
Evgeny Pyshkin

Keywords: Mobile application; Intelligent assistant; User behavior modeling; Location data; Accuracy; Human-centered design

Abstract:
Accurate location information collected during a trip is crucial for many post-travel activities. In the digitalized world, many of these activities (such as annotating pictures) are supported by different location-aware applications. Since these applications are also used in non-travel related scenarios, the applications cannot “know” in advance, what the appropriate location accuracy level is. In this paper, we analyze a couple of general purpose Google ecosystem applications in the context of post-travel activities with the use of real data collected during a one week trip. We examine the possible scenarios where location accuracy is not high enough to fulfill the user requirements, and propose a novel approach, which allows the location-aware application receiving more accurate location data according to policies set by the user. In our model (which is naturally applicable not only to Google ecosystem applications), we combine a general-purpose application with an assistant application aimed at managing location data quality. We describe the implementation of a prototype companion application and demonstrate that this application allows travelers to continue using regular applications (such as Google Timeline) with achieving the desired level of location accuracy.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2018

Publication date: October 14, 2018

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-670-5

Location: Nice, France

Dates: from October 14, 2018 to October 18, 2018

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