[Purpose/significance] In order to enhance users’ pleasure degree of the scene information acceptance experience of mobile library, enhance the contexts’ perceived usefulness and perceived ease of use, and strengthen users’ continued willingness to accept information, to design products and services that truly meet the expectations of user information acceptance. [Method/process] Based on the method of thinking aloud and the experimental method of creating situation, this paper quantifies the Emotional Phrases of users’ information acceptance experience by using the coefficients of degree adverbs, Chinese emotional lexicon ontology and polar phrase intensity calculation formula, and analyzes the key factors that affect the experience of mobile library’s scene information acceptance. [Result/conclusion] The results show that the emotional changes in the process of scene-based information acceptance in mobile libraries mainly depend on the matching degree of "Scene-Behavior-Context". Based on this, the scenario allocation schemes for different scenarios are designed, and the direction of scene-based service innovation in mobile libraries is pointed out.
[1] 吴丹,刘畅,李翼.用户步行导航过程中的情感变化研究[J].数据分析与知识发现,2017,1(5):42-51.
[2] 王伟,王洪伟.特征观点对购买意愿的影响:在线评论的情感分析方法[J].系统工程理论与实践,2016,36(1):63-76.
[3] 雷鸣,朱明.情感分析在电影推荐系统中的应用[J].计算机工程与应用,2016,52(10):59-63,107.
[4] 郭宇,王晰巍,李师萌,等.基于情感分析的社会网络用户影响力模型研究[J].情报学报,2017,36(11):1139-1147.
[5] 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.
[6] 曹园园,李君君,秦星红.SNS采纳后阶段用户持续使用行为研究——基于情感依恋与ECM-IS的整合模型[J].现代情报,2016,36(10):81-88.
[7] 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.
[8] ANDREEVSKAIA A, BERGLER S. Sentiment tagging of adjectives at the meaning level[C]//Conference of the Canadian Society for Computational Studies of Intelligence. Berlin:Springer,2006:336-346.
[9] CSIKSZENTMIHALYI M,NAKAMURA J. The concept of flow[J].Flow and the ffoundations of positive psychology,2002,27(3):239-263.
[10] 崔雪莲,那日萨,刘晓君.基于主题相似性的在线评论情感分析[J].系统管理学报,2018,27(5):821-827.
[11] PICARD R W. Affective computing[M]. London:MIT Press,1997.
[12] 赵思成,姚鸿勋.图像情感计算综述[J].智能计算机与应用,2017,7(1):1-5.
[13] 徐鲁强,刘静霞.模糊支持向量机情感状态识别的研究[J].计算机应用研究,2011,28(3):831-832,837.
[14] 郭凤英,王万森.基于人工情感的脸部表情识别的研究[J].计算机仿真,2006(4):204-207.
[15] 李祖贺,樊养余.基于视觉的情感分析研究综述[J].计算机应用研究,2015,32(12):3521-3526.
[16] 闫晓东,黄涛.基于情感词典的藏语文本句子情感分类[J].中文信息学报,2018,32(2):75-80.
[17] 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):47-50.
[18] 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(2):71-74.
[19] 郭顺利,张向先.面向中文图书评论的情感词典构建方法研究[J].现代图书情报技术,2016(2):67-74.
[20] 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.
[21] 邱均平,余厚强,吕红,等.国外馆藏资源可视化研究综述[J].情报资料工作,2014(1):12-19.
[22] 马卓.数字图书馆微服务情境交互功能评估研究[D].长春:吉林大学,2017.
[23] 毕强,马卓,李洁.数字图书馆微服务交互情境功能与用户行为的内在关系研究[J].情报理论与实践,2017,40(4):55-60.
[24] 王福,刘姝瑾.基于信息接受规律的移动图书馆场景重构[J].情报资料工作,2018(5):50-56.
[25] TOR-MORTEN G, GEORGE G. Three-dimensional context-aware tailoring of information[J].Online information review,2010,34(6):892-906.
[26] RYU H, PARK I, HYUN S J, et al. A task decomposition scheme for context aggregation in personal smart space[C]//IFIP international workshop on software technologies for embedded and ubiquitous systems. Berlin:Springer,2007:20-29.
[27] LI L, DENG Z.A system dynamics approach of users' dynamic behavior for mobile services in academic library[J]. Libri,2017,67(3):165-177.
[28] 王福,聂兰渤,郝喜凤.移动图书馆场景化信息接受畅融合研究[J].图书馆学研究,2018(2):77-83.
[29] 袁顺波,张云,臧金帆.移动商务用户持续使用行为实证研究综述[J].图书情报工作,2016(4):142-147.
[30] 王福,聂兰渤,郝喜凤.移动图书馆场景化信息接受适配功能设计研究[J].图书馆建设,2018(3):65-71,80.
[31] 付雪妍.场景理论下移动社交媒体的场景建构[J].新媒体研究,2017,3(14):3-4.
[32] 黄文彬,徐山川,吴家辉,等.移动用户画像构建研究[J].现代情报,2016,36(10):54-61.
[33] 毕达天,王福,许鹏程.基于VSM的移动图书馆用户画像及场景推荐[J].数据分析与知识发现,2018,2(9):100-108.
