2017 Fiscal Year Research-status Report
Advancing interfaces and algorithms used in traveler-centric information systems supporting geographical, cultural and historical perspectives
| Project/Area Number |
17K00509
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| Research Institution | The University of Aizu |
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Principal Investigator |
Pyshkin Evgeny 会津大学, コンピュータ理工学部, 上級准教授 (50794088)
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| Co-Investigator(Kenkyū-buntansha) |
Mozgovoy Maxim 会津大学, コンピュータ理工学部, 准教授 (60571776)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Keywords | guiding / multimedia / decentralization / transdisciplinarity / requirements / travel-centric / human-centric / mobile |
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| Outline of Annual Research Achievements |
On the base of previous explorations, we refined the requirements and usage scenarios to be supported by the software components we are implementing. We analyzed the system design from the perspective of transdisciplinary research and positioned it among the processes where an algorithm or a method originally introduced in a specific area of knowledge is applied to a substancially distict human-centric subject domain.
We examine a number of solutions used in developing multimedia guiding systems for travelers and implemented a mobile application for outdoors audio-guiding based on the just-walk concept. This implementation is helpful for better positioning of our approach in the domain. We expect that this model is appropriate for better tour recommendation and playback automation of outdoor travel tours with using geo-positioning.
We established requirements to the components focused on collaboration of travelers. We also investigated the possible approach to optimize location accuracy data usage with respect to traveller's needs and device properties (for example, quick discharging due to high frequency of location requests).
We invested some efforts to an interesting related research of keyword extraction from the speech content that can be used for producing audio sample metadata necessary for guiding applications. We also partially supported a research on using decentralized model for sharing of virtual spaces in mixed reality that, as we believe, could be beneficial for improving user experience in travel-centric applications.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
We developed a number of prove-of-concept components rather more smoothly than initially planned. We also discovered several new related topics (including speech analysis, virtual spaces, non-native GUI based software testing issues) that were not initially planned, but beneficial for our project.
We need to advance a recently appeared highly imprortant research topic on managing information collection about user locations within the context of traveling (existing applications do not differentiate much between the processes of simple movings and traveleing, which have in fact serious particularities).
Some primary results of these investigations have not been published yet, but we plan to publish them during the next academic year.
We have to continue the conceptual investigation of the domain-specific ontology design more intensively.
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| Strategy for Future Research Activity |
On the base of prototype assessments, we will continue reengineering the major components of the system, In particular, we plan to design the software for experiments on mapping the historical artifact related information (e.g. old maps available as images) to a contemporary electronic map.
We plan to develop a prototype for a mobile application to recommend tours based on combining interests of several travelers.
We need some more investigations of the context of traveling which causes additional requirements on location precision as well as new scenarios of collecting location data. We need to work with previously collected real-life data and examine how they can be used in order to describe possible user behavior models. Our earlier experiments demonstrated that general-purpose apps (like Google Timeline) often cannot assure required location data quality properties (such as data collection frequency and location accuracy). Thus, there is a big space for improvement.
Our basic idea is to combine a general-purpose application with an intelligent assistant aimed at managing location data quality. We plan to develop a prove-of-concept prototype for this component.
We also plan to use the developed mobile components for evaluating our approach to create an infrastructure for time- and resource-consuming testing of mobile applications.
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| Causes of Carryover |
A small remaining amount of money (JPY 292) is caused by the difference between estimation and final expenses of the last order.
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