Context respectful counseling agent virtualized on the web

Recently, many workers are exposed to distressing situations. However, counselors supporting them lack in number overwhelmingly. To cope with this, a context-respectful counseling agent CRCA virtualized on the Web is proposed. It provides no solution. It paraphrases utterances of users namely clients including those of emotional words showing clients’ emotional changes and adds only context preserving and digging prompts such as “Say in detail” for problem clarification. This keeps clients’ trust to continue the dialogue for promoting their reflection towards self-awareness of solutions. Different from typical conventional counseling agents or chatter bots, CRCA needs no external information from the Web. Because of this and independent data access with clients, CRCAs are scalable so that they can be virtualized on the large scale Web as if there were human counselors in cloud environments, pretending to empathize with clients suffering from their competence, human relationship, etc. Consequently, many distressing persons can concurrently solve problems, supported responsively by WebCRCA namely CRCAs on the Web. Feasibility / effect of CRCA’s solution awareness support in career counseling examples, and real-time performance / scalability of CRCA on the large scale Web are evaluated.

[1]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[2]  J. O’dell,et al.  ELIZA as a "therapeutic" tool. , 1984, Journal of clinical psychology.

[3]  J. Weizenbaum From Computer Power and Human Reason From Judgment to Calculation , 2007 .

[4]  M. Volman,et al.  Scaffolding in Teacher–Student Interaction: A Decade of Research , 2010 .

[5]  Byeong-Ho Kang,et al.  Ubiquitous Computing Environment Threats and Defensive Measures , 2007 .

[6]  Yoshitaka Sakurai,et al.  Using contexts to supervise a collaborative process , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[7]  Avelino J. Gonzalez,et al.  Towards a Context-Based Dialog Management Layer for Expert Systems , 2009, 2009 International Conference on Information, Process, and Knowledge Management.

[8]  Varol Akman,et al.  Turing Test: 50 Years Later , 2000, Minds and Machines.

[9]  C. Talley,et al.  Career counseling. , 1984, American journal of hospital pharmacy.

[10]  Duane Brown Career Choice and Development , 1984 .

[11]  Gregory D. Abowd,et al.  Charting past, present, and future research in ubiquitous computing , 2000, TCHI.

[12]  Katherine Isbister,et al.  The Blind Men and the Elephant Revisited , 2004, From Brows to Trust.

[13]  Claude Sammut,et al.  Managing Context in a Conversational Agent , 2001, Electron. Trans. Artif. Intell..

[14]  Erkki Sutinen,et al.  The effectiveness of automatic text summarization in mobile learning contexts , 2013, Comput. Educ..

[15]  Catherine Pelachaud,et al.  From brows to trust: evaluating embodied conversational agents , 2004 .

[16]  Sangdo Han,et al.  Counseling Dialog System with 5W1H Extraction , 2013, SIGDIAL Conference.

[17]  Rod D. Roscoe,et al.  Promoting self-regulated learning skills in agent-based learning environments , 2009, ICCE 2009.

[18]  Matteo Turilli,et al.  Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges––An Evaluation of the 2008 Loebner Contest , 2008, Minds and Machines.

[19]  R. Bhaskaran,et al.  A dialogue system for career counseling , 2011, ICWET.

[20]  C. Rogers,et al.  Client-Centered Therapy , 1951 .

[21]  Avelino J. Gonzalez,et al.  Towards a method for evaluating naturalness in conversational dialog systems , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[22]  David R. Traum,et al.  What would you Ask a conversational Agent? Observations of Human-Agent Dialogues in a Museum Setting , 2008, LREC.

[23]  Michal E. Ptaszynski Emotion Awareness in Dialog Agents: Affect Analysis of Textual Input Utterance and its Application in Human-Computer Interaction , 2011 .

[24]  C. Rogers The necessary and sufficient conditions of therapeutic personality change. , 1992, Psychotherapy.

[25]  Setsuo Tsuruta,et al.  Context-based counselor agent for software development ecosystem , 2013, Computing.

[26]  Michael J. Lambert,et al.  The empirical case for the common factors in therapy: Quantitative findings. , 1999 .

[27]  Orlando De Pietro,et al.  Automatic update of AIML Knowledge Base in e-Learning environment , 2005 .

[28]  Stefan Kopp,et al.  A Conversational Agent as Museum Guide - Design and Evaluation of a Real-World Application , 2005, IVA.

[29]  J. Weizenbaum Computer Power And Human Reason: From Judgement To Calculation , 1978 .

[30]  Hao Yan,et al.  Coordination and context-dependence in the generation of embodied conversation , 2000, INLG.

[31]  Alistair Kennedy,et al.  Getting Emotional about News Summarization , 2012, Canadian Conference on AI.

[32]  Joseph Weizenbaum,et al.  and Machine , 1977 .

[33]  Gurpreet Singh Lehal,et al.  A Survey of Text Summarization Extractive Techniques , 2010 .