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http://dx.doi.org/10.13088/jiis.2018.24.4.085

Identifying Social Relationships using Text Analysis for Social Chatbots  

Kim, Jeonghun (School of Management, Kyung Hee University)
Kwon, Ohbyung (School of Management, Kyung Hee University)
Publication Information
Journal of Intelligence and Information Systems / v.24, no.4, 2018 , pp. 85-110 More about this Journal
Abstract
A chatbot is an interactive assistant that utilizes many communication modes: voice, images, video, or text. It is an artificial intelligence-based application that responds to users' needs or solves problems during user-friendly conversation. However, the current version of the chatbot is focused on understanding and performing tasks requested by the user; its ability to generate personalized conversation suitable for relationship-building is limited. Recognizing the need to build a relationship and making suitable conversation is more important for social chatbots who require social skills similar to those of problem-solving chatbots like the intelligent personal assistant. The purpose of this study is to propose a text analysis method that evaluates relationships between chatbots and users based on content input by the user and adapted to the communication situation, enabling the chatbot to conduct suitable conversations. To evaluate the performance of this method, we examined learning and verified the results using actual SNS conversation records. The results of the analysis will aid in implementation of the social chatbot, as this method yields excellent results even when the private profile information of the user is excluded for privacy reasons.
Keywords
Social Chatbot; Relationship Awareness; Text Analysis; Privacy Protection;
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1 Yu, Z., X. Zhou, D. Zhang, G. Schiele, and C. Becker, "Understanding social relationship evolution by using real-world sensing data," World Wide Web, Vol.16, No.5-6(2013), 749-762.   DOI
2 Zhuang, H., J. Tang, W. Tang, T. Lou, A. Chin, and X. Wang, "Actively learning to infer social ties," Data Mining and Knowledge Discovery, Vol.25, No.2(2012), 270-297.   DOI
3 Al-Zubaide, H., and Issa, A. A, "Ontbot: Ontology based chatbot," Innovation in Information & Communication Technology (ISIICT), 2011 Fourth International Symposium on IEEE, (2011, November), 7-12.
4 Araujo, T., "Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions," Computers in Human Behavior, Vol.85(2018), 183-189.   DOI
5 Breazeal, C., "Regulation and entrainment in human-robot interaction," The International Journal of Robotics Research, Vol.21, Issue.10-11(2002), 883-902.   DOI
6 Cassell, J., J. Sullivan, S. Prevost and E. Churchill, "Embodied Conversational Agents," Cambridge,MA: MIT Press, 2000.
7 Cerekovic, A., Aran, O., and D.Gatica-Perez, "Rapport with virtual agents: What do human social cues and personality explain?,". IEEE Transactions on Affective Computing, Vol.8, Issue.3(2017), 382-395.   DOI
8 Choi, S. Song, Y., Kwon, O., "Analyzing contextual polarity of unstructured data for measuring subjective well-being," Journal of Intelligent Information Systems, Vol.22, No.1(2016), 83-105.   DOI
9 Colby K.M, "Human-Computer Conversation in A Cognitive Therapy Program" In: Wilks Y. (eds) Machine Conversations. The Springer International Series in Engineering and Computer Science, vol 511. Springer, Boston, MA,1999.
10 Choi, S., Jeon, J., Subrata, B., Kwon, O., "An efficient estimation of place brand image power based on text mining technology," Journal of Korea Intelligent Information Systems, Vol. 21, No.2(2015), 113-129.   DOI
11 Cui, M., Jin, Y. and Kwon, O., "A method of analyzing sentiment polarity of multilingual social media : A case of korean-chinese languages," Journal of Intelligent Information Systems, Vol.22, No.3(2016), 91-111.   DOI
12 Haslam, N. and A.P. Fiske" Relational models theory: a confirmatory factor analysis," Personal Relationships, Vol.6, No.2(1999), 241-250.   DOI
13 Diehl, C. P., Namata, G., and Getoor, L, Relationship identification for social network discovery, In AAAI ,Vol. 22, No. 1(2007, July), 546-552,.
14 Faratin, P., C.Sierra, and N. R.Jennings, "Negotiation decision functions for autonomous," agents. Robotics and Autonomous Systems, Vol.24, No.3-4(1998), 159-182.   DOI
15 Griol, D., J.Carbo, and J. M.Molina, "An automatic dialog simulation technique to develop and evaluate interactive conversational agents,". Applied Artificial Intelligence, Vol.27, No.9(2013), 759-780.   DOI
16 Hill, J., W. R.Ford, and I. G.Farreras, "Real conversations with artificial intelligence: A comparison between human-human online conversations and human-chatbot conversations," Computers in Human Behavior, Vol.49(2015), 245-250.   DOI
17 Kirkpatrick, L. A. and B. J. Ellis. An Evolutionary-Psychological Approach to Self-esteem: Multiple Domains and Multiple Functions, Blackwell handbook of social psychology, Interpersonal processes, 409-436, 2001.
18 Hung, V., M.Elvir, A.Gonzalez, and R.DeMara, "Towards a method for evaluating naturalness in conversational dialog systems," In Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on, (2009, October), 1236-1241.
19 Jamieson, L. "Intimacy transformed? A critical look at the 'pure relationship'," Sociology, Vol.33(1999), 477-494.
20 Jong, A. D., and K.De Ruyter, "Adaptive versus proactive behavior in service recovery: the role of self‐managing teams," Decision Sciences, Vol.35(2004), 457-491.   DOI
21 Koerner, A.F, "Models of relating - not relationship models: cognitive representations of relating across interpersonal relationship domains," Journal of Social and Personal Relationships, Vol.23(2006), 629-653.   DOI
22 Kuligowska, K, "Commercial chatbot: Performance evaluation, usability metrics, and quality standards of embodied conversational agents," Professionals Center for Business Research 2, 2015.
23 Kwon, O, "A two-step approach to building bilateral consensus between agents based on relationship learning theory," Expert Systems with Applications, Vol.36, No.9(2009), 11957-11965.   DOI
24 Kwon, O., and N. Lee, "A relationship‐aware methodology for context‐aware service selection," Expert Systems, Vol.28, No.4 (2011), 375-390.   DOI
25 Lindgaard,G, "The misapplication of engineering models to business decisions," INTERACT'03, Zurich, Switzerland, (2003), 367-374.
26 Hirschberg, J, and C. D.Manning,, "Advances in natural language processing," Science, Vol.349(2015), 261-266.   DOI
27 Oliver, R. L, Satisfaction: A Behavioral Perspective on the Consumer: A Behavioral Perspective on the Consumer. Routledge, 2014.
28 Lopez-Monroy, A. P., M.Montes-y-Gomez, H. J.Escalante, L.Villasenor-Pineda, and E.Stamatatos, "Discriminative subprofilespecific representations for author profiling in social media," Knowledge-Based Systems, Vol.89(2015), 134-147.   DOI
29 Madhu, D., Jain, C. N., Sebastain, E., Shaji, S., and A.Ajayakumar, "A novel approach for medical assistance using trained chatbot," In Inventive Communication and Computational Technologies (ICICCT), 2017 International Conference on, (2017, March), 243-246.
30 Nielsen, J, Usability heuristics, in Usability Engineering, Academic Press, 1994, 115-164.
31 Perera, C., A.Zaslavsky, P.Christen, and D.Georgakopoulos, Context aware computing for the internet of things: A survey, IEEE Communications Surveys & Tutorials, Vol.16, No.1(2014), 414-454.   DOI
32 Pham, D. D., G. B.Tran, and S. B. Pham,. "Author profiling for Vietnamese blogs," In Asian Language Processing, 2009. IALP'09. International Conference on, (2009, December), 190-194).
33 Reddy, T. R., B. V.Vardhan, and P. V.Reddy, "Profile specific Document Weighted approach using a New Term Weighting Measure for Author Profiling," International Journal of Intelligent Engineering & Systems, (2016), 136-146.
34 Reeves, B. and C. Nass, The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places, Cambridge: Cambridge University Press, 1996.
35 Sandbank, T., M.Shmueli-Scheuer, D.Konopnicki, , J.Herzig, J.Richards, and D.Piorkowski, "Detecting Egregious Conversations between Customers and Virtual Agents," arXiv preprint arXiv:1711.05780., 2017.
36 Stevenson, M, "Individual Profiling Using Text Analysis," University of Sheffield, Sheffield United Kingdom, 2016.
37 Seo, H., and Kwon, O. Mining Intellectual History Using Unstructured Data Analytics to Classify Thoughts for Digital Humanities. Journal of Intelligent Information Systems, Vol.24, No.1(2018), 141-166.
38 Shawar, B. A., and E.Atwell, "Different measurements metrics to evaluate a chatbot system," Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies, (2007, April), 89-96.
39 Shum, H. Y., X. D. He, and D. Li, From Eliza to XiaoIce: challenges and opportunities with social chatbots. Frontiers of Information Technology & Electronic Engineering, Vol.19, No.1(2018), 10-26.   DOI
40 Tan, L., and N.Wang, (2010, August). "Future internet: The internet of things," In Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on, Vol. 5 (2010, August), V5-376.
41 Villegas, M. P., M. J.Garciarena Ucelay, M. L.Errecalde, and L.Cagnina, "A Spanish text corpus for the author profiling task," XX Congreso Argentino de Ciencias de la Computacion, (Buenos Aires, 2014).
42 Wang, C., J. Han, Y. Jia, J.Tang, D. Zhang, Y. Yu, and J. Guo, "Mining advisor-advisee relationships from research publication networks," Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, (2010, July), 203-212.
43 Weizenbaum, J, "ELIZA-A computer program for the study of natural language communication between man and machine," Communications of the ACM. Vol. 10, No. 8(1966), 36-45.
44 Yu, C., N. Wang, L. T.Yang, , D. Yao, C. H.Hsu, and H. Jin "A semi-supervised social relationships inferred model based on mobile phone data," Future Generation Computer Systems, Vol.76(2017), 458-467.   DOI