[1] SIMON H A. Motivational and emotional controls of cognition[J]. Psychological review, 1967, 74(1):29-39.
[2] FISHBEIN M, AJZEN I. Belief, attitude, intention and behavior:an introduction to theory and research[M]. Boston:Addison-Wesley, 1975.
[3] MELLON C A. Library anxiety:a grounded theory and its development[J]. College & research libraries, 1986, 47(2):160-165.
[4] KUHLTHAU C C. Inside the search process:information seeking from the user's perspective[J]. Journal of the American society for information science, 1991, 42(5):361-371.
[5] 李京津, 黄崑, 袁心, 等. 信息查询与检索领域中用户情感因素的界定与应用[J]. 图书情报工作, 2019, 63(7):63-71.
[6] CODOL J P. Cognitive approach to the feeling of identity[J]. Social science information, 1981, 20(1):111-136.
[7] SCHERER K R, SUMMERFIELD A B, WALLBOTT H G. Cross-national research on antecedents and components of emotion?:a progress report[J]. Social science information, 1983, 22(3):355-385.
[8] ELSTER J. Sadder but wiser-rationality and the emotions[J]. Social science information, 1985, 24(2):375-406.
[9] ZHANG C, ZENG D, LI J, et al. Sentiment analysis of Chinese documents:from sentence to document level[J]. Journal of the American Society for Information Science and Technology, 2009, 60(12):2474-2487.
[10] THELWALL M, BUCKLEY K, PALTOGLOU G, et al. Sentiment in short strength detection informal text[J]. Journal of the American Society for Information Science and Technology, 2010, 61(12):2544-2558.
[11] BEAUDRY A, PINSONNEAULT A. The other side of acceptance:studying the direct and indirect effects of emotions on information technology use[J]. MIS quarterly, 2010, 34(4):689-710.
[12] LOPATOVSKA I, ARAPAKIS I. Theories, methods and current research on emotions in library and information science, information retrieval and human-computer interaction[J]. Information processing & management, 2011, 47(4):575-592.
[13] SAIF H, HE Y, FERNANDEZ M, et al. Contextual semantics for sentiment analysis of Twitter[J]. Information processing & management, 2016, 52(1):5-19.
[14] SCHERER K R. What are emotions? And how can they be measured?[J]. Social science information, 2005, 44(4):695-729.
[15] SAVOLAINEN R. Emotions as motivators for information seeking:a conceptual analysis[J]. Library & information science research, 2014, 36(1):59-65.
[16] TENOPIR C, WANG P, ZHANG Y, et al. Academic users' interactions with sciencedirect in search tasks:affective and cognitive behaviors[J]. Information processing & management, 2008, 44(1):105-121.
[17] JIANG Z, BENBASAT I. Virtual product experience:effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping[J]. Journal of management information systems, 2004, 21(3):111-147.
[18] BAE Y, LEE H. Sentiment analysis of Twitter audiences:measuring the positive or negative influence of popular twitterers[J]. Journal of the American Society for Information Science and Technology, 2012, 63(12):2521-2535.
[19] GREGOR S, LIN A C H, GEDEON T, et al. Neuroscience and a nomological network for the understanding and assessment of emotions in information systems research[J]. Journal of management information systems, 2014, 30(4):13-48.
[20] WEBSTER J, MARTOCCHIO J J. Microcomputer playfulness?:development of a measure with workplace implications[J]. MIS quarterly, 1992, 16(2):201-226.
[21] THELWALL M, BUCKLEY K, PALTOGLOU G. Sentiment in Twitter events[J]. Journal of the American Society for Information Science and Technology, 2011, 62(2):406-418.
[22] STIEGLITZ S, DANG-XUAN L. Emotions and information diffusion in social media-sentiment of microblogs and sharing behavior[J]. Journal of management information systems, 2013, 29(4):217-248.
[23] XIA R, XU F, YU J, et al. Polarity shift detection, elimination and ensemble:a three-stage model for document-level sentiment analysis[J]. Information processing & management, 2016, 52(1):36-45.
[24] HE YULAN, ZHOU DEYU. Self-training from labeled features for sentiment analysis[J]. Information processing & management, 2011, 47(4):606-616.
[25] ANDERSON C L, AGARWAL R. The digitization of healthcare:boundary risks, emotion, and consumer willingness to disclose personal health information[J]. Information systems research, 2011, 22(3):469-490.
[26] ROBERT B. ZAJONC. Affect theory. approaches to emotion[M]. New Jersey:Lawrence Erlbaum Associates, 1984:239-246.
[27] KLEINGINNA P R, KLEINGINNA A M. A Categorized list of emotion definitions, with suggestions for a consensual definition[J]. Motivation and emotion, 1981, 5(4):345-379.
[28] POWER M, DALGLEISH T. Cognition and emotion:from order to disorder[M]. Hove:Psychology press, 1997.
[29] THELWALL M, WILKINSON D, UPPAL S. Data mining emotion in social network communication:gender differences in Myspace[J]. Journal of the American Society for Information Science and Technology, 2010, 61(1):190-199.
[30] KRACKER J. Research anxiety and students' perceptions of research:an experiment. part 1.effect of teaching Kuhlthau's isp model[J]. Journal of the American Society for Information Science and Technology, 2002, 53(4):282-294.
[31] LOPATOVSKA I, COOL C. Online search:uncovering affective characteristics of information retrieval experience[C]//ALISE annual conference. Philadelphia:PA, 2008.
[32] STEIN M K, NEWELL S, WAGNER E L, et al. Coping with information technology:mixed emotions, vacillation, and nonconforming use patterns[J]. MIS quarterly, 2015, 39(2):367-392.
[33] WU C S, CHENG F F, YEN D C. The atmospheric factors of online storefront environment design:an empirical experiment in Taiwan[J]. Information & management, 2008, 45(7):493-498.
[34] HYLDEGÅRD J. Collaborative information behaviour-exploring Kuhlthau's information search process model in a group-based educational setting[J]. Information processing & management, 2006, 42(1):276-298.
[35] GUO Z, XIAO L, VAN TOORN C, et al. Promoting online learners' continuance intention:an integrated flow framework[J]. Information & management, 2016, 53(2):279-295.
[36] DENG L, POOLE M S. Affect in web interfaces:a study of the impacts of web page visual complexity and order[J]. MIS quarterly, 2010, 34(4):711-730.
[37] MEHRABIAN A, RUSSELL J A. An approach to environmental psychology[M]. Cambridge:MIT Press, 1974.
[38] KELTNER D, GROSS J J. Functional accounts of emotions[J]. Cognition & emotion, 1999, 13(5):467-480.
[39] HAN S, LERNER J S, KELTNER D. Feelings and consumer decision making:the appraisal-tendency framework[J]. Journal of consumer psychology, 2007, 17(3):158-168.
[40] ZAVATTARO S M, FRENCH P E, MOHANTY S D. A sentiment analysis of U.S local government tweets:the connection between tone and citizen involvement[J]. Government information quarterly, 2015, 32(3):333-341.
[41] GWIZDKA J, LOPATOVSKA I. The role of subjective factors in the information search process[J]. Journal of the American Society for Information Science and Technology, 2009, 60(12):2452-2464.
[42] HSIAO C H, CHANG J J, TANG K Y. Exploring the influential factors in continuance usage of mobile social apps:satisfaction, habit, and customer value perspectives[J]. Telematics and informatics, 2016, 33(2):342-355.
[43] LOPATOVSKA I. Toward a model of emotions and mood in the online information search process[J]. Journal of the Association for Information Science and Technology, 2014, 65(9):1775-1793.
[44] BALAJI M S, KHONG K W, CHONG A Y L. Determinants of negative word-of-mouth communication using social networking sites[J]. Information & management, 2016, 53(4):528-540.
[45] 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.
[46] NUNAMAKER J F, DERRICK D C, ELKINS A C, et al. Embodied conversational agent-based kiosk for automated interviewing[J]. Journal of management information systems, 2011, 28(1):17-48.
[47] KIM J, PARK E H, BASKERVILLE R L. A model of emotion and computer abuse[J]. Information & management, 2016, 53(1):91-108.
[48] DUKES D, ABRAMS K, ADOLPHS R, et al. The rise of affectivism[J]. Nature human behaviour, 2021, 5(7):816-820.
[49] WORRALL A, CAPPELLO A, OSOLEN R. The importance of socio-emotional considerations in online communities, social informatics, and information science[J]. Journal of the Association for Information Science and Technology, 2021, 72(10):1247-1260.
[50] LAUKKA P, BÄNZIGER T, ISRAELSSON A, et al. Investigating individual differences in emotion recognition ability using the ERAM test[J]. Acta psychologica, 2021, 220:103422.
[51] 鲍红琼, 张敏. 信息查询行为视角下元认知研究进展述评[J]. 图书馆, 2017(6):77-83.
[52] ZAHRA K, IMRAN M, OSTERMANN F O. Automatic identification of eyewitness messages on Twitter during disasters[J]. Information processing & management, 2020, 57(1):102107.
[53] KUMAR A, SRINIVASAN K, CHENG W-H, et al. Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data[J]. Information processing & management, 2020, 57(1):102141.
[54] ABUBAKAR A M, BEHRAVESH E, REZAPOURAGHDAM H, et al. Applying artificial intelligence technique to predict knowledge hiding behavior[J]. International journal of information management, 2019, 49:45-57.
[55] CHEN S Y, WANG J-H. Individual differences and personalized learning:a review and appraisal[J]. Universal access in the information society, 2021, 20(4):833-849.
[56] 姜婷婷, 陈佩龙, 许艳闰. 国外心流理论应用研究进展[J]. 信息资源管理学报, 2021, 11(5):4-16.