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| Mobile Experience Sampling Method: Facilitating Human Information Behavior Research in the Real Context |
| Hu Rong1, Tang Zhengui2, Zhao Yuxiang3, Zhu Qinghua2 |
1. School of Computer & Information Science, Southwest University, Chongqing 400715;
2. School of Information Management, Nanjing University, Nanjing 210023;
3. School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094; |
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Abstract In the era of mobile Internet, the contents and boundaries of the information worlds of individuals have experienced an unprecedented expansion. Information behavior is experiencing an evolution. From a methodological point-of-view, researchers in the field of information behavior now seek a breakthrough in the research paradigm and are attempting to realize the two-layer top-down transformation of thinking tools and practical tools. First, based on the theory of information worlds of individuals. This paper discusses the transformation of five thinking tools, namely, mobile thinking, daily thinking, context thinking, longitudinal thing, and the individual thinking tool. Second, the mobile experience sampling method (mESM) on the practical tool level is introduced. We then clarify the origin, development, and the characteristics of the method. Then, its strict execution framework is systematically analyzed, and the mESM innovations and the representative tools of mESM are explored, and its application in the study of user information behavior is discussed. Finally, we discuss the method tension, tool stickiness, the mESM’s multi-source data acquisition support capability in behavioral computing, and also the application domain, method value, and application challenge of mESM. Considering that mESM tools are scarce, we advocate that the researchers in the field of information behavior should focus on the localization of mESM tools, and strive to more effectively support and promote user information behavior exploration in mobile Internet environment.
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Received: 26 March 2018
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[1] 于良芝. “个人信息世界”——一个信息不平等概念的发现及阐释[J]. 中国图书馆学报, 2013, 39(1): 4-12.
[2] 胡蓉, 赵宇翔, 朱庆华. 移动互联环境下的跨屏行为研究综述[J]. 情报理论与实践, 2017, 40(3): 119-125.
[3] 托马斯·库恩, 伊安·哈金. 科学革命的结构[M]. 第四版. 金吾伦, 译. 北京: 北京大学出版社, 2012.
[4] 刘娟. 活动理论视角下的图情领域用户信息行为研究范式[J]. 图书情报知识, 2013(2): 88-96.
[5] 刘钢. 《科学革命的结构》导读[M]. 成都: 四川教育出版社, 2002.
[6] 何林. 论许茨对胡塞尔生活世界理论的继承与改造[J]. 哲学研究, 2010(11): 90-96.
[7] 郑庆杰. 生活世界与行动意义研究的可能性——对舒茨现象学社会学的一项考察[J]. 前沿, 2011(1): 157-161.
[8] 孙飞宇. 方法论与生活世界舒茨主体间性理论再讨论[J]. 社会, 2013, 33(1): 38-74.
[9] Wilson T D.Models in information behavior research[J]. Journal of Documentation, 1999, 55(3): 249-270.
[10] Kuhlthau C C.Inside the search process: Information seeking from the user’s perspective[J]. Journal of the Association for Information Science and Technology, 1991, 42(5): 361-371.
[11] Fisher K E, Naumer C M.Information grounds: Theoretical basis and empirical findings on information flow in social settings[M]// Spink A, Cole C (eds)., New Directions in Human Information Behavior. Netherlands: Springer, 2006, 6: 93-111.
[12] Chatman E A.Framing social life in theory and research[J]. New Review of Information Behaviour Research, 2000, 1(1): 3-17.
[13] Ingwersen P, Jӓrvelin K.The turn: Integration of information seeking and retrieval in context[M]. Netherlands: Springer, 2005.
[14] 段锦云, 陈文平. 基于动态评估的取样法:经验取样法[J]. 心理科学进展, 2012, 20(7): 1110-1120.
[15] 李文静, 郑全全. 日常经验研究: 一种独具特色的研究方法[J]. 心理科学进展, 2008, 16(1): 169-174.
[16] 张国富. 许茨社会世界意义结构探究[D]. 哈尔滨: 黑龙江大学, 2007.
[17] Schutt R, O’neil C.数据科学实战[M]. 冯凌, 译. 北京: 人民邮电出版社, 2015: 20.
[18] Pejovic V, Lathia N, Mascolo C, et al.Mobile-based experience sampling for behavior research[M]// Emotions and Personality in Personalized Services. Berlin: Springer International Publishing, 2015.
[19] Hektner J M, Schmidt J A, Csikszentmihalyi M.Experience sampling method: measuring the quality of everyday life[M]. California: SAGE Publications, 2006.
[20] Larson R, Csikszentmihalyi M.The experience sampling method[M]// Reis H T (Ed.). New Directions for Methodology of Social and Behavioral Sciences. San Francisco: Jossey-Bass, 1983, 15: 41-56.
[21] Hormuth S E.The sampling of experiences in situ[J]. Journal of Personality, 1986, 54(1): 262-293.
[22] Csikszentmihalyi M, Larson R.Validity and reliability of the experience-sampling method[J]. Journal of Nervous and Mental Disease, 1987, 175(9): 526-536.
[23] Pribram K H.Interfacing complexity at the boundary between the natural and social sciences[M]// Khalil E L, Boulding K E (eds). Evolution, Order and Complexity. New York: Routledge, 1996: 40-60.
[24] Ebner-Priemer U W, Eid M, Kleindienst N, et al. Analytic strategies for understanding affective (in) stability and other dynamic processes in psychopathology[J]. Journal of Abnormal Psychology, 2009, 118(1): 195-202.
[25] Scollon C N, Kim-Prieto C, Diener E.Experience sampling: promises and pitfalls, strengths and weaknesses[J]. Journal of Happiness Studies, 2003, 4: 5-34.
[26] Swendsen J D, Tennen H, Carney M A, et al.Mood and alcohol consumption: an experience sampling test of the self-medication hypothesis[J]. Journal of Abnormal Psychology, 2000, 109: 198-204.
[27] Brandstätter H.Emotional responses to other persons in everyday life situations[J]. Journal of Personality and Social Psychology, 1983, 45(4): 871-883.
[28] Ebner-Priemer U W, Trull T J. Ambulatory assessment: an innovative and promising Approach for clinical psychology[J]. European Psychologist, 2009, 14: 109-119.
[29] 张银普, 骆南峰, 石伟. 经验取样法——一种收集“真实”数据的新方法[J]. 心理科学进展, 2016, 24(2): 305-316.
[30] Schwarz N.Why researchers should think “real time”: a cognitive Retionale[M]// Mehl M R, Conner T S (Eds.). Handbook of Research Methods for Studying Daily Life. New York: Guilford Press, 2012: 22-42.
[31] Larson R W.The significance of solitude in adolescents’ lives[D]. Chicago: University of Chicago, 1977.
[32] Mayers P L.Flow in adolescence and its relation to school experience[D]. Chicago: University of Chicago, 1978.
[33] Graef R P.Consistency in people’s everyday mood and cognitive responses: an analysis of people’s self-reports using a repeated measures design[D]. Chicago: University of Chicago, 1978.
[34] Consolvo S, Walker M.Using the experience sampling method to evaluate ubicomp applications[J]. IEEE Pervasive Computing, 2003, 2(2): 24-31.
[35] Kimhy D, Delespaul P, Corcoran C, et al.Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia[J]. Journal of Psychiatric Research, 2006, 40(3): 221-230.
[36] Côté S, Moscowitz D S.On the dynamic covariation between interpersonal behavior and affect: prediction from neuroticism, extraversion, and agreeableness[J]. Journal of Personally and Social Psychology, 1998, 75: 1032-1046.
[37] Fischer J E.Experience-sampling tools: a critical review[C]// Proceedings of MobileHCI’09, Bonn, Germany, 2009.
[38] Czerwinski M, Horvitz E, Wilhite S.A diary study of task switching and interruptions[C]// Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM Press, 2004: 175-182.
[39] Yue Z, Litt E, Cai C J, et al.Photographing information needs: The role of photos in experiences sampling method-style research[C]// Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM Press, 2014: 1545-1554.
[40] Csikszentmihalyi M, Hunter J.Happiness in everyday life: The uses of experience sampling[J]. Journal of Happiness Studies, 2003, 4: 185-199.
[41] Carstensen L L, Turan B, Scheibe S, et al.Emotional experience improves with age: Evidence based on over 10 years of experience sampling[J]. Psychology and Aging, 2011, 26(1): 21-33.
[42] Dimotakis N, Scott B A, Koopman J.An experience sampling investigation of workplace interactions, affective states, and employee well-being[J]. Journal of Organizational Behavior, 2010, 32: 572-588.
[43] Hogatth R M, Portell M, Cuxart A.What risks do people perceive in everyday life? a perspective gained from the experience sampling method (ESM)[J]. Risk Analysis, 2007, 27: 1427-1439.
[44] Steiger H, Gauvin L, Engelberg M J, et al.Mood- and restraint-based antecedents to binge episodes in bulimia nervosa: Possible influences of the serotonin system[J]. Psychological Medicine, 2005, 35: 1553-1562.
[45] Bales E, Sohn T, Setlur V.Planning, apps, and the high-end smartphone: exploring the landscape of modern crossdevice reaccess[C]// Proceedings of the International Conference on Pervasive Computing. Heidelberg: Springer, 2011: 1-18.
[46] Kane S K, Karlson A K, Meyers B R, et al.Exploring cross- device web use on PCs and mobile devices[C]// Proceedings of the IFIP Conference on Human-Computer Interaction. Berlin: Springer, 2009: 722-735.
[47] Karlson A K, Iqbal S T, Meyers B, et al.Mobile taskflow in context: a screenshot study of smartphone usage[C] //Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM Press, 2010: 2009-2018.
[48] Wang M, Liu S, Liao H, et al.Can’t get it out of my mind: employee rumination after customer mistreatment and negative mood in the next morning[J]. Journal of Applied Psychology, 2013, 98(6): 989-1004.
[49] Filstead W, Reich W, Parrella D, et al.Using electronic pagers to monitor the process of recovery in alcoholics and drug abusers[C]// Paper Presented at the 34th International Congress on Alcohol, Drug Abuse and Tobacco, 1985.
[50] Conner T S, Lehman B J.Getting started: Launching a study in daily life[M]// Mehl M R, Conner T S (Eds.). Handbook of Research Methods for Studying Daily Life. New York: Guilford Press, 2012: 89-107.
[51] Christensen T C, Barrett L F, Blissmoreau E, et al.A practical guide to experience-sampling procedures[J]. Journal of Happiness Studies, 2003, 4(1): 53-78.
[52] Hurlburt R T.Random sampling of cognitions and behavior[J]. Journal of Research in Personality, 1979, 13: 103-111.
[53] Hamaker E L, Nesselroade J R, Molenaar P C M. The integrated trait-state model[J]. Journal of Research in Personality, 2007, 41(2): 295-315.
[54] Beal D J.ESM 2.0: State of the art and future potential of experience sampling methods in organizational research[J]. Annual Review of Organizational Psychology and Organizational Behavior, 2015, 2(1): 383-407.
[55] Princeton Survey Research Associates International for the Pew Research Center’s Internet & American Life Project. SNS and facebook survey 2010[EB/OL]. [2018-09-10]. http://www.docin. com/p-540879146.html.
[56] Collier J.Photography in anthropology: a report on two experiments[J]. American Anthropologist, 2009, 59(5): 843-859.
[57] Fanning S.Visual methodologies: Photo-elicitation in the university classroom[C]// Proceedings of the 10th European Conference on Research Methodology for Business and Management Studies, 2011.
[58] Carter S, Mankoff J.When participants do the capturing: The role of media in diary studies[C]// Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM Press, 2005: 899-908.
[59] Gabridge T, Gaskell M, Stout A.Information seeking through students’ eyes: The MIT photo diary study[J]. College & Research Libraries, 2006, 69(6): 510-523.
[60] Intille S, Kukla C, Ma X Y.Eliciting user preferences using image-based experience sampling and reflection[C]// Proceedings of the Extended Abstracts on Human Factors in Computing Systems. New York: ACM Press, 2002: 738-739.
[61] ESP. [EB/OL]. [2017-06-10]. http://www.experience-sampling. org/.
[62] MyExerience. [EB/OL]. [2017-06-10]. http://myexperience. sourceforge.net/index.html.
[63] Ohmage. [EB/OL]. [2017-06-10]. http://ohmage.org/.
[64] OpenDataKit. [EB/OL].[2017-06-10]. https://opendatakit.org/.
[65] Paco. [EB/OL].[2017-06-10]. https://www.pacoApp.com/.
[66] LifeData. [EB/OL].[2017-06-10]. https://www.lifedatacorp.com/.
[67] Ilumivu. [EB/OL].[2017-06-10]. https://ilumivu.com/.
[68] MetricWire. [EB/OL]. [2017-06-10]. http://www.metricwire. com/.
[69] Movisens. [EB/OL].[2017-06-10]. https://xs.movisens.com/.
[70] Expimetrics. [EB/OL].[2017-06-10]. https://App.expimetrics. com/.
[71] Aware. [EB/OL]. [2017-06-10]. http://www.awareframework. com/.
[72] ESM capture. [EB/OL]. [2017-06-10]. http://esmcapture.com/.
[73] Piel Survey.[EB/OL]. [2017-06-10].https://pielsurvey.org/.
[74] 吴丹, 梁少博, 冉爱华. 大学生用户移动搜索策略研究[J]. 中国图书馆学报, 2016, 42(3): 55-73.
[75] 吕梦思. 不同心理弹性者的日常情绪特征[D]. 上海: 华东师范大学, 2015.
[76] Harrison G W, List J A.Field experiments[J]. Journal of Economic Literature, 2004, 42(4): 1009-1055.
[77] van Os J, Verhagen S, Marsman A, et al. The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice[J]. Depression and Anxiety, 2017, 34(6): 481-493. |
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