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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (5): 12-22    DOI: 10.11925/infotech.2096-3467.2017.05.03
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Route Planning in Pedestrian-Map APP Interactions
Dan Wu(),Lei Cheng
School of Information Management, Wuhan University, Wuhan 430072, China
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[Objective] This paper constructs a model for route planning based on the impacts of different contexts on pedestrian’s walking behaviors. [Methods] First, we collected data from 30 participants of an outdoor pedestrian navigation experiment. Then, we analyzed the ties between contexts and users’ behaviors with correlation and regression tests. [Results] At the initial planning stage, more destinations chosen by the pedestrians meant longer searching time, while more users’ attention to the estimated time led to longer browsing time. User’s subjective time pressure, system location and destination choice also affected their attention to estimated time. In the re-planning stage, different genders and ages had different subjective time pressures on the users. The more difficult tasks generated fewer operations. [Limitations] There were some subjective issues with the data processing. The changing of user’s psychology and behaviors may also influence the results. [Conclusions] The proposed model focuses on the user factors and reveals the relationship among the contexts of the initial plannings and the re-routings, which provide valuable information to the mobile map developers.

Key wordsRoute Planning      User Information Behavior      Mobile Map      Context      Human-Computer Interaction     
Received: 07 February 2017      Published: 06 June 2017

Cite this article:

Dan Wu,Lei Cheng. Route Planning in Pedestrian-Map APP Interactions. Data Analysis and Knowledge Discovery, 2017, 1(5): 12-22.

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[1] 比达网. 2016年第3季度中国手机地图(导航)市场研究报告[R/OL]. (2016-11-06). [2016-12-25]. .
[1] (Bigdata-Research. Research Report of the 3rd Quarter of 2016 China Mobile Map (Navigation) Market [R/OL]. (2016-11-06). [2016-12-25].
[2] 迪莉娅. 西方信息行为认知方法研究[J]. 中国图书馆学报, 2011, 37(2): 97-104.
[2] (Di Liya.Studies on Cognitive Approach to Information Behavior in Western Countries[J]. Journal of Library Science in China, 2011, 37(2): 97-104.)
[3] Nivala A M, Sarjakoski L T.Need for Context-Aware Topographic Maps in Mobile Devices[C]//Proceedings of the 9th Scandinavian Research Conference on Geographical Information Science, Espoo, Finland. 2003: 15-29.
[4] Cai G, Xue Y.Activity-oriented Context-aware Adaptation Assisting Mobile Geo-spatial Activities[C]// Proceedings of the 11th International Conference on Intelligent User Interfaces, Sydney, Australia.New York, USA: ACM, 2006: 354-356.
[5] 齐晓飞, 王光霞, 薛志伟,等. 位置地图情境分类分级与切换研究[J]. 地理信息世界, 2013,20(6): 13-18.
[5] (Qi Xiaofei, Wang Guangxia, Xue Zhiwei, et al.Research on Location Map Context Classification, Grading and Switching[J]. Geomatics World, 2013, 20(6): 13-18.)
[6] H?lscher C, Tenbrink T, Wiener J M.Would You Follow Your Own Route Description? Cognitive Strategies in Urban Route Planning[J]. Cognition, 2011, 121(2): 228-247.
[7] Agrawal A W, Schlossberg M, Irvin K. How Far, By Which Route,Why? A Spatial Analysis of Pedestrian Preference[J]. Journal of Urban Design, 2007, 13(1): 81-98.
[8] Ishikawa T, Fujiwara H, Imai O, et al.Wayfinding with a GPS-based Mobile Navigation System: A Comparison with Maps and Direct Experience[J]. Journal of Environmental Psychology, 2008, 28(1): 74-82.
[9] Lu X, Wang C, Yang J M, et al.Photo2Trip: Generating Travel Routes from Geo-Tagged Photos for Trip Planning[C]// Proceedings of the 18th International Conference on Multimedia 2010, Firenze, Italy. 2010:143-152.
[10] Borst H C, De Vries S I, Graham J. Influence of Environmental Street Characteristics on Walking Route Choice of Elderly People[J]. Journal of Environmental Psychology, 2009, 29(4): 477-484.
[11] Yuan W, Schneider M.Supporting 3D Route Planning in Indoor Space Based on the LEGO Representation[C]// Proceedings of the 2nd International Workshop on Indoor Spatial Awareness. 2010:16-23.
[12] Kruger A, Butz A, Muller C, et al.The Connected User Interface: Realizing a Personal Situated Navigation Service[C]// Proceedings of the 9th International Conference on Intelligent User Interfaces. 2004:161-168.
[13] Abowd G D, Dey A K, Brown P J, et al.Towards a Better Understanding of Context and Context-awareness[C]// Proceedings of the 1st International Symposium on Handheld and Ubiquitous Computing.1999.
[14] Schmidt A, Boigl M, Gollcrson H W.There is More to Context than Location[J]. Compliers and Graphics, 1999, 23(6): 893-902.
[15] 郭顺利. 基于情境感知的移动图书馆用户模型研究[D]. 曲阜: 曲阜师范大学, 2015.
[15] (Guo Shunli.A User Model for Mobile Library Based on Context-awareness[D]. Qufu: Qufu Normal University, 2015.)
[16] 刘芳静. 基于情境体验的移动地图设计研究[D]. 长沙: 湖南大学, 2014.
[16] (Liu Fangjing.The Research of Mobile Map Design Based on Situational Experience[D]. Changsha: Hunan University, 2011. )
[17] Schwarz S.A Context Model for Personal Knowledge Management Applications[C]// Proceedings of the 2nd International Workshop on Modeling and Retrieval of Context. 2005.
[18] 王芳, 郭丽杰. 基于情境模型的手机图书馆个性化服务研究[J]. 图书馆学研究, 2011(7): 93-96.
[18] (Wang Fang, Guo Lijie.Research of Mobile Phone Library Personality Service Based on Context Model[J]. Researches in Library Science, 2011(7): 93-96.)
[19] 申园园, 余文. 一种基于位置服务信息的移动推荐模型[J]. 计算机应用与软件, 2016,33(12): 202-206.
[19] (Shen Yuanyuan, Yu Wen.A Mobile Recommendation Model Based on Location-Based Service[J]. Computer Applications and Software, 2016, 33(12): 202-206. )
[20] Pirkka A, Lassi A L.Interacting with Context Factors in Music Recommendation and Discovery[J]. International Journal of Human-Computer Interaction, 2017, 33(3): 165-179.
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