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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (5): 42-51    DOI: 10.11925/infotech.2096-3467.2017.05.06
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Changing Sentiments of Pedestrian Navigation System Users
Wu Dan(), Liu Chang, Li Yi
School of Information Management, Wuhan University, Wuhan 430072, China
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Abstract  

[Objective] This paper aims to optimize user experience and keep them using the pedestrian navigation system. [Methods] First, we collected data from an experiment with 30 participants. Then we conducted analysis with the help of sentiment dictionaries. Finally, we obtained influencing factors and their changing patterns with the number of degree adverbs, Chinese sentiment vocabulary Ontology and degree-calculating formula of polar phrases. [Results] We found that users’ sentiment changed due to the systematic and environmental factors. Untimely system updates, inaccurate locations and tough environment all posed negative effects to the user’s sentiments. [Limitations] Text analysis could not study the sentiments comprehensively. [Conclusions] We could optimize user experience by improving system design and adding user-friendly features, which provides direction for future developments.

Key wordsPedestrian Navigation      Sentiment Change      Sentiment Vocabulary Ontology      Polar Phrase      Emotional Intensity Calculation     
Received: 08 February 2017      Published: 06 June 2017
ZTFLH:  G250  

Cite this article:

Wu Dan,Liu Chang,Li Yi. Changing Sentiments of Pedestrian Navigation System Users. Data Analysis and Knowledge Discovery, 2017, 1(5): 42-51.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.05.06     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I5/42

量级 相对程度副词 绝对程度副词 系数量
极量 太、完全、爆炸、超级 1
高量 更、越 很、非常、特别、十分、好、
蛮、真、挺
0.75
中量 较、比较、
还、没有…
想象的
不大、不太、不很、没有太、
没怎么、不是非常、没有非常、
不是特别、不是那么、没那么
0.5
低量 稍、略、…
一些
有点、有些、一点、一点点 0.25
极性短语 强度计算公式 例句 强度
S=PW E(PW) 天气凉快 3
S=NA+PW E(PW)×E(NA) 天气不凉快 -2.4
S=NA+NA+PW E(PW)×E(NA)×E(NA) 天气不是不凉快 1.92
S=DA+PW E(PW)+[(1-E(PW))×L(DA)
若PW是正面的
E(PW)+[-1-E(PW)]×L(DA)
若PW是负面的
天气比较凉快

路上很堵
2

-2
短语极性 频次 频率 强度值
正向 52 19.92% 140
负向 95 36.40% 323.5
中性 114 43.68% 311.15
合计 261 100.00% 774.65
情感大类 情感类 例词 频次 频次合计 频率 强度值 强度值合计 占总强度值之比
快乐 高兴、愉悦、顺利、轻松 18 21 8% 53.5 59 8%
安心 平静 3 5.5
尊敬 63 24% 194 25%
赞扬 准确、及时、良好、快速 58 149
相信 确定 5 45
喜爱
祝愿
愤怒 投诉 1 1 0% 7 7 1%
悲伤 漫长、风吹日晒、饥肠辘辘 35 38 15% 98.8 106.8 14%
失望 绝望、无语、招架不住 3 8
急躁 4 8 3% 12.6 18.6 2%
恐惧 惊吓、困难 4 6
烦闷 烦躁、心烦、疲劳、闷郁 21 129 49% 65.5 387 50%
憎恶 讨厌、麻烦、不快 7 16.25
贬责 炎热、阻塞、绕圈子、偏差 98 280.25
妒忌
怀疑 怀疑 3 25
惊奇 奇特 1 1 0% 2.25 2.25 0%
[1] 彭志林. 基于动作识别的手机地图导航系统设计[D]. 上海: 复旦大学, 2013.
[1] (Peng Zhilin.Design of Action Recognition Based Mobile Map Navigation System [D]. Shanghai: Fudan University, 2013.)
[2] 艾媒咨询. 2016年第3季度中国手机地图(导航)市场研究报告[R/OL]. [2016-12-25]. .
[2] (iiMedia Research. Market Research Report of the 3rd Quarter of China Mobile Map (Navigation) in 2016 [R/OL]. [2016-12-25].
[3] 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]. .
[3] (Bigdata-Research. Research Report of the 3rd Quarter of 2016 China Mobile Map (Navigation) Market [R/OL]. (2016-11-06). [2016-12-25].
[4] 比达网. 2016年第1季度中国手机地图(导航)市场研究报告[R/OL]. (2016-04-29). [2016-12-28]. .
[4] (Bigdata-Research. Research Report of the 1st Quarter of 2016 China Mobile Map (Navigation) Market [R/OL]. (2016-04-29). [2016- 12-28].
[5] Heijden H.User Acceptance of Hedonic Information Systems[J]. MIS Quarterly, 2004, 28(4): 695-704.
[6] Bhattacherjee A, Barfar A.Information Technology Continuance Research: Current State and Future Directions[J]. Asia Pacific Journal of Information Systems, 2011, 21(2): 1-18.
[7] 刘鲁川, 孙凯. 社会化媒体用户的情感体验与满意度关系——以微博为例[J]. 中国图书馆学报, 2015, 41(1): 76-91.
[7] (Liu Luchuan, Sun Kai.Analysis of the Relationship Between Microblogging Users’ Affections and Users’ Satisfaction[J]. Journal of Library Science in China, 2015, 41(1): 76-91.)
[8] Zhang P.The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context[J]. Social Science Electronic Publishing, 2013, 37(1): 247-274.
doi: 10.2753/MIS0742-1222290410
[9] Agarwal R, Karahanna E.Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage[J]. MIS Quarterly, 2000, 24(4): 665-694.
doi: 10.2307/3250951
[10] 杨立公, 朱俭, 汤世平. 文本情感分析综述[J]. 计算机应用, 2013, 33(6): 1574-1578.
doi: 10.3724/SP.J.1087.2013.01574
[10] (Yang Ligong, Zhu Jian, Tang Shiping.A Review of Text Sentiment Analysis[J]. Journal of Computer Applications, 2013, 33(6): 1574-1578.)
doi: 10.3724/SP.J.1087.2013.01574
[11] Hatzivassiloglou V, Mckeown K R.Predicting the Semantic Orientation of Adjectives[C]// Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. 2002: 174-181.
[12] Sudhakaran P, Hariharan S, Lu J.Classifying Product Reviews from Balanced Datasets for Sentiment Analysis and Opinion Mining[C]// Proceedings of the 6th International Conference on Multimedia, Computer Graphics and Broadcasting. IEEE, 2014: 29-34.
[13] 徐琳宏, 林鸿飞, 潘宇, 等. 情感词汇本体的构造[J]. 情报学报, 2008, 27(2): 180-185.
doi: 10.3969/j.issn.1000-0135.2008.02.004
[13] (Xu Linhong, Lin Hongfei, Pan Yu, et al.The Construction of Emotion Word Ontology[J]. Journal of the China Society for Scientific and Technical Information, 2008, 27(2): 180-185.)
doi: 10.3969/j.issn.1000-0135.2008.02.004
[14] Jiang Z, Bai W, Bin W U.Social Network Users Clustering Based on Multivariate Time Series of Emotional Behavior[J]. Journal of China Universities of Posts & Telecommunications, 2014, 21(2): 21-31.
doi: 10.1016/S1005-8885(14)60282-X
[15] 张成功, 刘培玉, 朱振方,等. 一种基于极性词典的情感分析方法[J]. 山东大学学报:理学版, 2012, 47(3): 50-53.
[15] (Zhang Chenggong, Liu Peiyu, Zhu Zhenfang, et al.A Sentiment Analysis Method Based on a Polarity Lexicon[J]. Journal of Shandong University: Natural Science, 2012, 47(3): 50-53.)
[16] Bollen J, Pepe A, Mao H.Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena[J]. Computer Science, 2009, 44(12): 2365-2370.
[17] 杨亮, 林原, 林鸿飞. 基于情感分布的微博热点事件发现[J]. 中文信息学报, 2012, 26(1): 84-90.
doi: 10.3969/j.issn.1003-0077.2012.01.012
[17] (Yang Liang, Lin Yuan, Lin Hongfei.Micro-Blog Hot Events Detection Based on Emotion Distribution[J].Journal of Chinese Information Processing, 2012, 26(1): 84-90.)
doi: 10.3969/j.issn.1003-0077.2012.01.012
[18] Nabi R L.Exploring the Framing Effects of EmotionDo Discrete Emotions Differentially Influence Information Accessibility, Information Seeking, and Policy Preference?[J]. Communication Research, 2003, 30(2): 224-247.
doi: 10.1177/0093650202250881
[19] 姜婷婷, 贺虹虹, 张正楠. 搜索任务复杂度对用户情感的影响研究[J]. 图书情报知识, 2016(4): 74-82.
doi: 10.13366/j.dik.2016.04.074
[19] (Jiang Tingting, He Honghong, Zhang Zhengnan.Impacts of Search Task Complexity on Users’ Emotions[J]. Documentation, Information & Knowledge,2016(4): 74-82.)
doi: 10.13366/j.dik.2016.04.074
[20] Shah C, Pickens J, Golovchinsky G.Role-based Results Redistribution for Collaborative Information Retrieval[J]. Information Processing & Management, 2010, 46(6): 773-781.
doi: 10.1016/j.ipm.2009.10.002
[21] 董振东, 董强, 郝长伶. 知网的理论发现[J]. 中文信息学报, 2007, 21(4): 3-9.
[21] (Dong Zhendong, Dong Qiang, Hao Changling.Theoretical Findings of HowNet[J]. Journal of Chinese Information Processing, 2007, 21(4): 3-9.)
[22] Lumsden J, Brewster S.A Paradigm Shift: Alternative Interaction Techniques for Use with Mobile & Wearable Devices[C]// Proceedings of the 2003 Conference of the Centre for Advanced Studies on Collaborative Research. 2003: 197-210.
[23] 梅家驹, 竺一鸣, 高蕴琦, 等. 同义词词林(第二版)[M]. 上海: 上海辞书出版社, 1996.
[23] (Mei Jiaju, Zhu Yiming, Gao Yunqi, et al.TongYiCi CiLin [M]. Shanghai: Shanghai Lexicographical Publishing House, 1996.)
[24] 王磊, 黄河笑, 吴兵, 等. 基于主题与三支决策的文本情感分析[J]. 计算机科学, 2015, 42(6): 93-96.
doi: 10.11896/j.issn.1002-137X.2015.6.021
[24] (Wang Lei, Huang Hexiao, Wu Bing, et al.Emotion Analysis of Text Based on Topics and Three-way Decisions[J]. Computer Science, 2015, 42(6): 93-96.)
doi: 10.11896/j.issn.1002-137X.2015.6.021
[25] 蔺璜, 郭姝慧. 程度副词的特点范围与分类[J]. 山西大学学报: 哲学社会科学版, 2003, 26(2): 71-74.
doi: 10.3969/j.issn.1000-5935.2003.02.015
[25] (Lin Huang, Guo Shuhui.On the Characteristics, Range and Classification of Adverbs of Degree[J]. Journal of Shanxi University: Philosophy and Social Science, 2003, 26(2): 71-74.)
doi: 10.3969/j.issn.1000-5935.2003.02.015
[26] 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.
[26] (Liu Fangjing.The Research of Mobile Map Design Based on Situational Experience [D]. Changsha: Hunan University, 2014.)
[27] 于静. 基于微博大数据的游客情感及时空变化研究[D]. 西安: 陕西师范大学, 2015.
[27] (Yu Jing.Research on the Emotional and Temporal and Spatial Change of Tourists Based on Microblogging Data[D]. Xi’an: Shaanxi Normal University, 2015.)
[28] 程翠琼, 徐健. 面向网络游记时间特征的情感分析模型[J]. 数据分析与知识发现, 2017, 1(2): 87-95.
[28] (Cheng Cuiqiong, Xu Jian.A Sentiment Analysis Model Based on Temporal Characteristics of Travel Blogs[J]. Data Analysis and Knowledge Discovery, 2017, 1(2): 87-95.)
[29] 谢传伟. 情感化设计在用户体验中的运用[J]. 设计, 2014(2): 21-22.
[29] (Xie Chuanwei.Emotional Design Methods in User Experience Design[J]. Design, 2014(2): 21-22.)
[30] 陈驰. 移动互联网软件产品(APP)中导航的情感化设计研究[D]. 武汉: 湖北美术学院,2015.
[30] (Chen Chi.Research on the Emotional Design of Navigation in Mobile Internet Software Products[D]. Wuhan: Hubei Institute of Fine Arts, 2015.)
[31] Jeong S H.Suggestion of Methods for Understanding User’s Emotional Changes While Using a Product[A].// Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design[M]. Springer- Verlag, 2007.
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