移动视觉搜索用户体验模型构建与实证研究

doi:10.13266/j.issn.0252-3116.2022.05.009

图书情报工作 ›› 2022, Vol. 66 ›› Issue (5): 80-92.DOI: 10.13266/j.issn.0252-3116.2022.05.009

移动视觉搜索用户体验模型构建与实证研究

孟猛¹, 朱庆华²

1. 中国热带农业科学院科技信息研究所海口 571101;
2. 南京大学信息管理学院南京 210023

收稿日期:2021-09-22 修回日期:2021-12-07 出版日期:2022-03-05 发布日期:2022-03-21
通讯作者: 朱庆华,教授,博士,博士生导师,通信作者,E-mail:qhzhu@nju.edu.cn
作者简介:孟猛,副研究员,博士。
基金资助:
本文系国家社会科学基金重大项目“面向大数据的数字图书馆移动视觉搜索机制与应用研究”(项目编号:15ZDB126)研究成果之一。

Construction and Empirical Research on the User Experience Model of Mobile Visual Search

Meng Meng¹, Zhu Qinghua²

1. Institute of Scientific and Technical Information, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101;
2. School of Information Management, Nanjing University, Nanjing 210023

Received:2021-09-22 Revised:2021-12-07 Online:2022-03-05 Published:2022-03-21

摘要/Abstract

摘要： [目的/意义] 为提升移动视觉搜索(Mobile Visual Search,MVS)用户体验,增强用户黏性,探究影响MVS用户体验关键因素的作用机理,以期为MVS的管理者、设计者及运营商提供理论借鉴与实践指导。[方法/过程] 将S-O-R模型与EDT模型整合,结合MVS系统特征、认知要素、情感体验和失验(disconfirmation)等,构建MVS用户体验概念模型,提出研究假设和设计调查问卷,并针对淘宝和京东的MVS用户进行问卷调查。采用偏最小二乘法分析数据,在排除共同方法变异的影响下对测量模型和结构模型进行评估。[结果/结论] 研究发现:准确性和完整性正向显著影响信息质量,灵活性正向显著影响系统质量,移情性正向显著影响服务质量,并通过感知有用性、有用性失验、感知愉悦性和愉悦性失验等影响满意度,进而影响持续使用意愿。本研究所揭示的影响MVS用户体验关键因素及其作用机理,将为改善MVS用户体验提供参考。

关键词: 移动视觉搜索, 用户体验, 期望失验理论, S-O-R模型, 偏最小二乘法

Abstract: [Purpose/significance] In order to improve the user experience of mobile visual search(MVS) and enhance user stickiness, this paper explores the mechanism of key factors affecting MVS user experience, so as to provide theoretical references and practical guidance for managers, designers and operators of MVS. [Method/process] This paper integrated S-O-R model with the EDT model, combined MVS design features, cognitive elements, emotional experience and disconfirmation, etc., constructed the conceptual model of MVS user experience, put forward research hypotheses and designed questionnaires, and conducted questionnaire surveys on MVS users of Taobao.com and JD.com. Partial least squares (PLS) method was used to analyze the data, and the measurement model and structural model were evaluated without the influence of common method variance(CMV). [Result/conclusion] The research findings indicates that: Accuracy and completeness positively and significantly affect information quality, flexibility positively and significantly affects system quality, and empathy positively and significantly affects service quality. Satisfaction is affected by perceived usefulness, usefulness disconfirmation, perceived enjoyment and enjoyment disconfirmation, etc., and then the continuance usage intention is affected. The key factors affecting MVS user experience and their mechanisms of actions revealed in this study will provide a reference for improving MVS user experience.

Key words: mobile visual search, user experience, expectancy disconfirmation theory, S-O-R model, partial least squares

中图分类号:

G250.7

孟猛, 朱庆华. 移动视觉搜索用户体验模型构建与实证研究[J]. 图书情报工作, 2022, 66(5): 80-92.

Meng Meng, Zhu Qinghua. Construction and Empirical Research on the User Experience Model of Mobile Visual Search[J]. Library and Information Service, 2022, 66(5): 80-92.

参考文献

[1] 朱庆华.大数据环境下数字资源移动视觉搜索机制[J].情报资料工作,2016,37(4):5.
[2] 孟猛,朱庆华. 国内外移动视觉搜索研究综述[J].现代情报,2021,41(1):158-168.
[3] 陈明红,甄慧琳,韦芷晴,等.移动视觉搜索行为意向模型及实证研究[J].图书馆论坛,2018,38(12):136-145.
[4] 范哲,刘轶伦.感知有用与易用对用户移动视觉搜索行为意向的影响分析[J].情报资料工作,2020,41(1):79-86.
[5] 孟猛,朱庆华.移动视觉搜索用户体验影响因素量表开发研究[J].现代情报,2021,41(2):65-77.
[6] QI H, STOJMENOVIC M, LI K, et al. A low transmission overhead framework of mobile visual search based on vocabulary decomposition[J]. IEEE transactions on multimedia, 2014, 16(7):1963-1972.
[7] CHANDRASEKHAR V R, CHEN D M, TSAI S S, et al. The stanford mobile visual search data set[C]//ACM conference on multimedia systems. New York: ACM, 2011:117-122.
[8] WANG Y, MEI T, WANG J, et al. JIGSAW: interactive mobile visual search with multimodal queries[C]//ACM international conference on multimedia. New York: ACM, 2011:73-82.
[9] GIROD B, CHANDRASEKHAR V, GRZESZCZUK R, et al. Mobile visual search: architectures, technologies, and the emerging MPEG standard[J]. IEEE multimedia, 2011, 18(3):86-94.
[10] ZHU Q, MA T. A research framework for mobile visual search of digital library[C]// Proceedings of Korean Library and Information Science Society. Pusan: Korean Liberary and Information Science Society, Pusan National University, 2016:215-223.
[11] CAO Y, RITZ C, RAAD R. How much longer to go? The influence of waiting time and progress indicators on quality of experience for mobile visual search applied to print media[C]// Fifth international workshop on quality of multimedia experience. Piscataway: IEEE, 2013:112-117.
[12] SANG J, MEI T, XU Y Q, et al. Interaction design for mobile visual search[J]. IEEE transactions on multimedia, 2013, 15(7):1665-1676.
[13] ZHANG M, QIU G, ALECHINA N, et al. A preliminary examination of the user behavior in query-by-drawing portrait painting search on mobile devices[C]// International conference on advances in mobile computing & multimedia. New York: ACM, 2015.
[14] HUANG M, ALI R, LIAO J. The effect of user experience in online games on word of mouth: a pleasure-arousal-dominance (PAD) model perspective[J]. Computers in human behavior, 2017, 75: 329-338.
[15] BILGIHAN A. Gen Y customer loyalty in online shopping: an integrated model of trust, user experience and branding[J]. Computers in human behavior, 2016, 61: 103-113.
[16] PALAU-SAUMELL R, FORGAS-COLL S, SÁNCHEZ-GARCĹA J, et al. User acceptance of mobile apps for restaurants: an expanded and extended UTAUT-2[J]. Sustainability, 2019, 11(4): 1-24.
[17] 陈娟,钟雨露,邓胜利.移动社交平台用户体验的影响因素分析与实证——以微信为例[J]. 情报理论与实践, 2016,39(1):95-99,75.
[18] 李君君,叶凤云,曹园园.移动数字阅读用户体验动态行为模型及实证研究[J].现代情报,2019,39(3):24-34,149.
[19] 唐泽威,范哲,朱庆华.公益众筹平台用户体验影响因素研究[J].现代情报, 2020,40(11):54-64.
[20] 刘蕤,张雨萌,余佳琪.健康素养视角下的移动医疗App用户体验研究[J].现代情报, 2020,40(10):62-72,143.
[21] 孟猛,朱庆华. 国内外信息系统用户体验研究综述[J].图书馆学研究,2021(9):9-19.
[22] MEHRABIAN A, RUSSELL J A. An approach to environmental psychology[M].Cambridge:MIT Press, 1974:34-46.
[23] PENG C, KIM Y G. Application of the stimuli-organism-response (SOR) framework to online shopping behavior[J]. Journal of internet commerce, 2014, 13(3/4): 159-176.
[24] KVHN S W, PETZER D J. Fostering purchase intentions toward online retailer Websites in an emerging market: an S-O-R perspective[J]. Journal of internet commerce, 2018, 17(3): 255-282.
[25] PARBOTEEAH D V, VALACICH J S, WELLS J D. The influence of website characteristics on a consumer’s urge to buy impulsively[J]. Information systems research, 2009, 20(1):60-78.
[26] 徐孝娟,赵宇翔,吴曼丽,等.S-O-R理论视角下的社交网站用户流失行为实证研究[J].情报杂志,2017,36(7):188-194.
[27] 周涛,陈可鑫.基于SOR模型的社会化商务用户行为机理研究[J].现代情报,2018,38(3):51-57.
[28] OLIVER R L. A cognitive model of the antecedents and consequences of satisfaction decisions[J]. Journal of marketing research, 1980, 17(4):460-469.
[29] CHURCHILL G A, SURPRENANT C. An investigation into the determinants of customer satisfaction[J]. Journal of marketing research, 1982, 19(4):491-504.
[30] CHIU C M, HSU M H, SUN S Y, et al. Usability, quality, value and e-learning continuance decisions[J]. Computers & education, 2005, 45(4): 399-416.
[31] BHATTACHERJEE A, PREMKUMAR G. Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test[J]. MIS quarterly, 2004, 28(2): 229-254.
[32] XU D J, ABDINNOUR S, CHAPARRO B. An integrated temporal model of belief and attitude change: an empirical test with the iPad[J]. Journal of the Association for Information Systems, 2017, 18(2):113-140.
[33] KHALIFA M, LIU V. Satisfaction with internet-based services[C]// Proceedings of the 35th Hawaii international conference on system sciences. New York: ACM, 2002:174b.
[34] 孟猛,朱庆华.基于扎根理论的移动视觉搜索用户体验影响因素研究[J].现代情报2021,41(6):97-107.
[35] XU J D, BENBASAT I, CENFETELLI R T. Integrating service quality with system and information quality: an empirical test in the e-service context[J]. MIS quarterly, 2013, 37(3):337-352.
[36] ARMSTRONG D J, HARDGRAVE B C. Understanding mindshift learning: the transition to object-oriented development[J]. MIS quarterly, 2007, 31(3):453-474.
[37] DELONE W H, MCLEAN E R. Information systems success: the quest for the dependent variable[J]. Information systems research, 1992, 3(1): 60-95.
[38] MOORE C N. Mooers’ law or why some retrieval systems are used and others are not[J]. Bulletin of the American Society for Information Science & Technology, 1996, 23(1):22-23.
[39] WIXOM B H, TODD P A. A theoretical integration of user satisfaction and technology acceptance[J]. Information systems research, 2005, 16(1):85-102.
[40] TAN C W, BENBASAT I, CENFETELLI R T. It-mediated customer service content and delivery in electronic governments: an empirical investigation of the antecedents of service quality[J]. MIS quarterly, 2013, 37(1):77-109.
[41] CENFETELLI R T, BENBASAT I, AL-NATOUR S. Addressing the what and how of online services: positioning supporting-services functionality and service quality for business-to-consumer success[J]. Information systems research, 2008, 19(2): 161-181.
[42] GHAZAL S,ALDOWAH H,UMAR I, et al. Acceptance and satisfaction of learning management system enabled blended learning based on a modified DeLone-McLean information system success model[J].International journal of information technology project management,2018,9(3):52-71.
[43] 周涛.移动商务用户行为机理研究:整合多重理论视角[M].北京:清华大学出版社, 2017:20-28.
[44] 孟猛,朱庆华.数字图书馆信息质量、系统质量与服务质量整合研究[J].现代情报,2017,37(8):3-11.
[45] LANDRUM H T, PRYBUTOK V R, STRUTTON D, et al. Examining the merits of usefulness versus use in an information service quality and information system success web-based model[J]. Information resources management journal, 2008, 21(2):1-17.
[46] HSU C L, CHANG K C, CHEN M C. The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators[J]. Information systems and e-business management, 2012, 10(4):549-570.
[47] TAN F B, CHOU J P C. The relationship between mobile service quality, perceived technology compatibility, and users’ perceived playfulness in the context of mobile information and entertainment services[J]. International journal of human-computer interaction, 2008, 24(7):649-671.
[48] HWANG Y, KIM D J. Customer self-service systems: the effects of perceived web quality with service contents on enjoyment, anxiety, and e-trust[J]. Decision support systems, 2007, 43(3):746-760.
[49] MUN Y Y, HWANG Y. Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model[J]. International journal of human-computer studies, 2003, 59(4): 431-449.
[50] SUN H, ZHANG P. Causal relationships between perceived enjoyment and perceived ease of use: an alternative approach[J]. Journal of the Association for Information Systems, 2006, 7(9):618-645.
[51] AGARWAT 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.
[52] 孟猛,朱庆华.移动社交媒体用户持续使用行为研究[J].现代情报,2018,38(1):5-18.
[53] BHATTACHERJEE A. Understanding information systems continuance: an expectation-confirmation model[J].MIS quarterly, 2001, 25(3):351-370.
[54] RAI A, LANG S S, WELKER R B. Assessing the validity of IS success models: an empirical test and theoretical analysis[J]. Information systems research, 2002, 13(1):50-69.
[55] RASTEGAR N. Adoption of self-service kiosks in quick-service restaurants[D]. Guelph: The University of Guelph, 2018.
[56] BHATTACHERJEE A, PEROLS J, SANFORD C. Information technology continuance: a theoretic extension and empirical test[J]. Data processor for better business education, 2008, 49(1):17-26.
[57] ROCA J C, CHIU C M, MARTÍNEZ F J. Understanding e-learning continuance intention: an extension of the technology acceptance model[J]. International journal of human-computer studies, 2006, 64(8): 683-696.
[58] HUMBANI M. Consumers’ adoption and continuance intention to use mobile payment services[D]. Pretoria: University of Pretoria, 2018.
[59] KANKANHALLI A, YE H J, TEO H H. Comparing potential and actual innovators: an empirical study of mobile data services innovation[J]. MIS quarterly, 2015, 39(3): 667-682.
[60] CHIN W W. The partial least squares approach to structural equation modeling[J]. Modern methods for business research, 1998, 295(2): 295-336.
[61] HAIR J F, SARSTEDT M, RINGLE C M, et al. An assessment of the use of partial least squares structural equation modeling in marketing research[J]. Journal of the academy of marketing science, 2012, 40(3):414-433.
[62] 吴寿进,方文昌,黄恒奖.虚拟社群成员识别匿名性与群体规范之研究: 外在自我觉察与社群认同之中介效果[J].资讯管理学报,2012, 19 (2):315-347.
[63] PODSAKOFF P M, ORGAN D W. Self-report in organizational research[J]. Journal of management, 1986, 12(4):531-544.
[64] PODSAKOFF P M, MACKENZIE S B, LEE J Y, et al. Common method biases in behavioral research: a critical review of literature and recommended remedies[J]. Journal of applied psychology,2003,88(5): 879-903.
[65] LINDELL M K, WHITNEY D J. Accounting for common method variance in cross-sectional research designs[J]. Journal of applied psychology, 2001, 86(1):114-21.
[66] LEWIS B R, TEMPLETON G F, BYRD T A. A methodology for construct development in MIS research[J]. European journal of information systems, 2005, 14(4): 388-400.
[67] HAIR J F, RINGLE C M, SARSTEDT M. PLS-SEM: indeed a silver bullet[J]. Journal of marketing theory & practice, 2011, 19(2):139-152.
[68] FORNELL C, LARCKER D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of marketing research, 1981, 18(1): 39-50.
[69] BAGOZZI R P, YI Y. On the evaluation of structural equation models[J]. Journal of the academy of marketing science, 1988, 16(1): 74-94.
[70] HENSELER J, RINGLE C M, SARSTEDT M. A new criterion for assessing discriminant validity in variance-based structural equation modeling[J]. Journal of the academy of marketing science, 2015, 43(1): 115-135.
[71] DELONE W H, MCLEAN E R. The DeLone and McLean model of information systems success: a ten-year update[J]. Journal of management information systems, 2003, 19(4):9-30.
[72] JI R, DUAN L Y, CHEN J, et al. PKUBench: a context rich mobile visual search benchmark[C]// IEEE international conference on image processing. Piscataway: IEEE, 2011:2545-2548.
[73] CHANDRASEKHAR V R, CHEN D M, TSAI S S, et al. The stanford mobile visual search data set[C]// ACM conference on multimedia systems. New York: ACM, 2011:117-122.
[74] WANG Y, MEI T, WANG J, et al. JIGSAW: interactive mobile visual search with multimodal queries[C]// ACM international conference on multimedia. New York: ACM, 2011:73-82.
[75] SANG J, MEI T, XU Y Q, et al. Interaction design for mobile visual search[J]. IEEE transactions on multimedia, 2013, 15(7):1665-1676.

移动视觉搜索用户体验模型构建与实证研究

Construction and Empirical Research on the User Experience Model of Mobile Visual Search

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	李露琪, 侯丽, 邓胜利. 突发公共卫生事件网络虚假信息传播行为影响因素研究——以新冠疫情期间微博虚假信息为例[J]. 图书情报工作, 2022, 66(9): 4-13.
[2]	赵杨, 班姣姣. 移动图书馆用户体验地图构建与服务优化研究[J]. 图书情报工作, 2021, 65(24): 61-70.
[3]	杨涔, 邵波. 移动端图书馆系统评价指标体系构建[J]. 图书情报工作, 2021, 65(12): 65-72.
[4]	陈娟, 邓胜利. 社会化问答平台用户体验动态演变机理研究[J]. 图书情报工作, 2020, 64(20): 106-116.
[5]	姜婷婷, 郭倩, 徐亚苹, 宋恩梅. 证据类型对在线健康信息标题选择的影响:眼动实验与启示[J]. 图书情报工作, 2020, 64(19): 61-70.
[6]	梁甜, 彭国超, 邢飞. 我国智慧城市APP应用现状及问题分析[J]. 图书情报工作, 2019, 63(8): 65-73.
[7]	钱蔚蔚, 冯稚颖. 关于图书馆信息服务功能性用户体验量化的实验研究[J]. 图书情报工作, 2019, 63(11): 52-65.
[8]	雷兵, 钟镇. B2C商城畅销电子图书的分布特征与在线评论解析——以京东为例[J]. 图书情报工作, 2018, 62(21): 53-61.
[9]	侯冠华, 董华, 刘颖, 范光瑞. 导航结构与认知负荷对老年读者数字图书馆用户体验影响的实证研究——以国家数字图书馆为例[J]. 图书情报工作, 2018, 62(13): 45-53.
[10]	魏群义, 李艺亭, 姚媛. 移动图书馆用户体验研究综述与展望[J]. 图书情报工作, 2018, 62(10): 126-135.
[11]	刘锦源, 曹树金. 心流理论视角下信息检索体验测量与分析[J]. 图书情报工作, 2017, 61(8): 67-73.
[12]	尹相权, 弓建华, 李书宁. 可寻性视角下高校移动图书馆WAP网站设计方法探析[J]. 图书情报工作, 2017, 61(7): 62-67.
[13]	王若佳, 李月琳. 基于用户体验的健康类搜索引擎可用性评估[J]. 图书情报工作, 2016, 60(7): 92-102.
[14]	徐孝娟, 赵宇翔, 朱庆华. 社交网站用户流失行为理论基础及影响因素探究[J]. 图书情报工作, 2016, 60(4): 134-141.
[15]	洪亮, 任秋圜, 梁树贤. 国内电子商务网站推荐系统信息服务质量比较研究——以淘宝、京东、亚马逊为例[J]. 图书情报工作, 2016, 60(23): 97-110.