Kaori Kobayashi

University of Hyogo, Akō, Hyogo-ken, Japan

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Publications (6)0 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: We propose a recommendation method of geographical information for mobile devices based on user search operations using local services such as Yelp. We presume that we can estimate the search conditions using user operations for a region and category by analyzing the user operations. There are four operations, changing the region, selecting the categories, viewing the objects, and selecting an object. We use the user operations to extract important factors attached to the user. At this time, we think that users have the requirement that there be an appropriate number of displayed objects. Thus, we propose a recommendation method with an automatic adjusting search property to satisfy the constrained condition for the number of displayed objects. We aim for intelligent interaction such as optimizing the search properties to estimate the user requirements from realizable operations on a general interface. In this paper, we discuss an adjusting method and developed prototype system.
    05/2012;
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    ABSTRACT: Users often use modified maps on Web pages for acquiring information such as sightseeing information and places to go for the first time. However, people cannot visualize the appearance of the station exit and the surrounding buildings. Therefore, we propose a system for transforming modified maps into streaming video based on the features of modified maps. Our system performs analysis of the modified maps and transforms them into streaming video. In this analysis, the system determines the type of modified maps by extracting semantic relations and positional relations among geographical objects on them. In this transformation, the system shows the streaming video by letting film syntax apply to street view based on the type of modified maps. Additionally, we experimented with analyzing the modified maps. Keywordsmodified map–street view–geographical information system
    02/2011: pages 142-158;
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    01/2010;
  • Kaori Kobayashi, Ryong Lee, Kazutoshi Sumiya
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    ABSTRACT: Due to the rapid advance of mobile devices and on-line global map services, way-finding in outdoor environments is becoming much easier and comfortable. However, some people are still complaining to navigation systems for their poor guidance. In the infancy of such systems, many navigation systems had weak points with some reasons such as (i) lack of map data enough to guide routes precisely, (ii) no other way than the shortest path route search method, and (iii) no consecutive map update. However, present mobile navigation systems have conquered those problems; we can now access to on-line map, which are continuously updating, over high-speed mobile networks and can be supported by much smarter route search functions. However, there is still an unclear point about why we get lost with the powerful navigation systems: someone is still confused and struggling in their route searches. In our research, instead of exploring further navigational functions, we will focus on the human ability about map reading and understanding. Actually, in our experiment based on iPhone with navigation software, we could clarify the problems and the reasons from the different map-reading abilities by people.
    24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010, Perth, Australia, 20-13 April 2010; 01/2010
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    Kaori Kobayashi, Ryong Lee, Kazutoshi Sumiya
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    ABSTRACT: Recently, the various navigation systems spread in many aspects of our daily life. It becomes necessary for the user to choose the one which is suitable for oneself from among these systems. However, it is difficult that users understand all these systems, because ability which understands map and guidance disagree by each user. Besides, there will be the user who cannot understand it even if a system more easily informed guidance for a user. We think that a uniform guidance is a problem for some people, because the ability to understand a map is different by a user. Therefore, it is necessary for us to investigate ability to understand guidance, that is, human map-reading ability. Moreover, we consider that it is important that a system analyzes the ability of user and shows weak points of user. In this paper, we developed a system to simulate whether we seem to do way-finding in real space, and first of all we performed outdoor experiments about pedestrian way-finding for measuring by the system. Next, we proposed three major indicators from pedestrian behaviors, and finally measured human map-reading ability in our system. Consequently, we think that will open up a new vista of the future for personal guidance services by our approach.
    Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2010, Suwon, Republic of Korea, January 14-15, 2010; 01/2010
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    Kaori KOBAYASHI, Ryong LEE, Kazutoshi SUMIYA
    01/2010;