Abstract
More and more adolescents today are suffering from various adolescent stress. Too much stress will bring a variety of physical and psychological problems including anxiety, depression, and even suicide to the growing youths, whose outlook on life and problem-solving ability are still immature enough. Traditional face-to-face stress detection and relief methods do not work, confronted with adolescents who are reluctant to express their negative emotions to the people in real life. In this paper, we present a adolescent-oriented intelligent chatting system called TeenChat, which acts as a virtual friend to listen, understand, comfort, encourage, and guide stressful adolescents to pour out their bad feelings, and thus releasing the stress. Our 1-month user study demonstrates TeenChat is effective on sensing and helping adolescents’ stress.
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References
Augello, A., Saccone, G., Gaglio, S., Pilato, G.: Humorist bot: bringing computational humour in a chat-bot system. In: International Conference on Complex, Intelligent and Software Intensive Systems. CISIS 2008, pp. 703–708. IEEE (2008)
Balahur, A., Hermida, J.M.: Affect detection from social contexts using commonsense knowledge representations. In: 2012 International Conference on Privacy, Security, Risk and Trust (PASSAT) and 2012 International Confernece on Social Computing (SocialCom), pp. 884–892. IEEE (2012)
Balahur, A., Hermida, J.M., Montoyo, A.: Detecting implicit expressions of sentiment in text based on commonsense knowledge. In: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, pp. 53–60. Association for Computational Linguistics (2011)
Brain, S.: Statistic brain (2013). http://www.statisticbrain.com/teen-suicide-statistics/
Burke, R.D., Hammond, K.J., Kulyukin, V., Lytinen, S.L., Tomuro, N., Schoenberg, S.: Question answering from frequently asked question files: Experiences with the faq finder system. AI magazine 18(2), 57 (1997)
Chai, J., Lin, J., Zadrozny, W., Ye, Y., Stys-Budzikowska, M., Horvath, V., Kambhatla, N., Wolf, C.: The role of a natural language conversational interface in online sales: A case study. International Journal of Speech Technology 4(3–4), 285–295 (2001)
Che, W., Li, Z., Liu, T.: LTP: a chinese language technology platform. In: Proc. of Coling, pp. 13–16 (2010)
Cohen, S., Kamarck, T., Mermelstein, R.: A global measure of perceived stress. Journal of Health and Social Behavior, 385–396 (1983)
Colten, M.E., Gore, S.: Adolescent stress: Causes and consequences. Transaction Publishers (1991)
Crutzen, R., Peters, G.-J.Y., Portugal, S.D., Fisser, E.M., Grolleman, J.J.: An artificially intelligent chat agent that answers adolescents’ questions related to sex, drugs, and alcohol: an exploratory study. Journal of Adolescent Health 48(5), 514–519 (2011)
Fu, X.: xiaohuangji (2010). http://www.xiaohuangji.com/
Goh, O.S., Fung, C.C.: Intelligent agent technology in e-commerce. In: Liu, J., Cheung, Y., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 10–17. Springer, Heidelberg (2003)
Hammen, C.: Stress and depression. Annu. Rev. Clin. Psychol. 1, 293–319 (2005)
Kasl, S.V.: Stress and health. Annual review of public health 5(1), 319–341 (1984)
Katz, B., Lin, J.J., Loreto, D., Hildebrandt, W., Bilotti, M.W., Felshin, S., Fernandes, A., Marton, G., Mora, F.: Integrating web-based and corpus-based techniques for question answering. In: TREC, pp. 426–435 (2003)
Kerly, A., Hall, P., Bull, S.: Bringing chatbots into education: Towards natural language negotiation of open learner models. Knowledge-Based Systems 20(2), 177–185 (2007)
Lab, M.A.: Start (2002). http://www.ai.mit.edu/projects/infolab/start.html
Latham, A., Crockett, K., McLean, D., Edmonds, B.: Adaptive tutoring in an intelligent conversational agent system. In: Nguyen, N.-T. (ed.) Transactions on Computational Collective Intelligence VIII. LNCS, vol. 7430, pp. 148–167. Springer, Heidelberg (2012)
Li, B., Liu, T., Qin, B., Li, S.: Chinese sentence similarity computing based on semantic dependency relationship analysis. Application Research of Computers 12, 15–17 (2003)
Lin, H., Jia, J., Guo, Q., Xue, Y., Huang, J., Cai, L., Feng, L.: Psychological stress detection from cross-media microblog data using deep sparse neural network
Lin, J., Katz, B.: Question answering from the web using knowledge annotation and knowledge mining techniques. In: Proceedings of the twelfth international conference on Information and knowledge management, pp. 116–123. ACM (2003)
Liu, Y., Liu, M., Wang, X., Wang, L., Li, J.: Pal: a chatterbot system for answering domain-specific questions. In: ACL (Conference System Demonstrations), pp. 67–72. Citeseer (2013)
Lokman, A.S., Zain, J.M., Komputer, F.S., Perisian, K.: Designing a chatbot for diabetic patients. In: International Conference on Software Engineering & Computer Systems, ICSECS 2009
Microdoft: Encarta (2005). http://encarla.msn.com/
Moldovan, D.I., Rus, V.: Logic form transformation of wordnet and its applicability to question answering. In: Proceedings of the 39th Annual Meeting on Association for Computational Linguistics, pp. 402–409. Association for Computational Linguistics (2001)
Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Textual affect sensing for sociable and expressive online communication. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 218–229. Springer, Heidelberg (2007)
Olveres, J., Billinghurst, M., Savage, J., Holden, A.: Intelligent, expressive avatars. In: Proceedings of the First Workshop on Embodied Conversational Characters, pp. 47–55 (1998)
SIMSIMI: Simsimi (2009). http://www.simsimi.com/
Stewart, I.A., File, P.: Let’s chat: A conversational dialogue system for second language practice. Computer Assisted Language Learning 20(2), 97–116 (2007)
Subasic, P., Huettner, A.: Affect analysis of text using fuzzy semantic typing. IEEE Transactions on Fuzzy Systems 9(4), 483–496 (2001)
Tapeh, A.G., Rahgozar, M.: A knowledge-based question answering system for b2c ecommerce. Knowledge-Based Systems 21(8), 946–950 (2008)
Teng, Z., Ren, F., Kuroiwa, S.: Recognition of emotion with SVMs. In: Huang, D.-S., Li, K., Irwin, G.W. (eds.) ICIC 2006. LNCS (LNAI), vol. 4114, pp. 701–710. Springer, Heidelberg (2006)
Valitutti, A., Strapparava, C., Stock, O.: Developing affective lexical resources. PsychNology Journal 2(1), 61–83 (2004)
Wallace, R.: Alice (2009). http://www.alicebot.org
Wang, X., Khoo, E.T., Fu, C.R., Cheok, A.D., Nakatsu, R.: Confucius chat: promoting traditional chinese culture and enhancing intergenerational communication through a chat system. In: 2013 International Conference on Culture and Computing (Culture Computing), pp. 123–128. IEEE (2013)
Weizenbaum, J.: Elizaa computer program for the study of natural language communication between man and machine. Communications of the ACM 9(1), 36–45 (1966)
Wills, T.A., McNamara, G., Vaccaro, D.: Parental education related to adolescent stress-coping and substance use: development of a mediational model. Health Psychology 14(5), 464 (1995)
Wu, C.-H., Chuang, Z.-J., Lin, Y.-C.: Emotion recognition from text using semantic labels and separable mixture models. ACM transactions on Asian language information processing (TALIP) 5(2), 165–183 (2006)
Xue, Y., Li, Q., Jin, L., Feng, L., Clifton, D.A., Clifford, G.D.: Detecting adolescent psychological pressures from micro-blog. In: Zhang, Y., Yao, G., He, J., Wang, L., Smalheiser, N.R., Yin, X. (eds.) HIS 2014. LNCS, vol. 8423, pp. 83–94. Springer, Heidelberg (2014)
Yang, C., Lin, K.H., Chen, H.-H.: Emotion classification using web blog corpora. In: IEEE/WIC/ACM International Conference on Web Intelligence, pp. 275–278. IEEE (2007)
Zakos, J., Capper, L.: CLIVE – an artificially intelligent chat robot for conversational language practice. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds.) SETN 2008. LNCS (LNAI), vol. 5138, pp. 437–442. Springer, Heidelberg (2008)
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Huang, J. et al. (2015). TeenChat: A Chatterbot System for Sensing and Releasing Adolescents’ Stress. In: Yin, X., Ho, K., Zeng, D., Aickelin, U., Zhou, R., Wang, H. (eds) Health Information Science. HIS 2015. Lecture Notes in Computer Science(), vol 9085. Springer, Cham. https://doi.org/10.1007/978-3-319-19156-0_14
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DOI: https://doi.org/10.1007/978-3-319-19156-0_14
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