VICA, a visual counseling agent for emotional distress

We present VICA, a Visual Counseling Agent designed to create an engaging multimedia face-to-face interaction. VICA is a human-friendly agent equipped with high-performance voice conversation designed to help psychologically stressed users, to offload their emotional burden. Such users specifically include non-computer-savvy elderly persons or clients. Our agent builds replies exploiting interlocutor’s utterances expressing such as wishes, obstacles, emotions, etc. Statements asking for confirmation, details, emotional summary, or relations among such expressions are added to the utterances. We claim that VICA is suitable for positive counseling scenarios where multimedia specifically high-performance voice communication is instrumental for even the old or digital divided users to continue dialogue towards their self-awareness. To prove this claim, VICA’s effect is evaluated with respect to a previous text-based counseling agent CRECA and ELIZA including its successors. An experiment involving 14 subjects shows VICA effects as follows: (i) the dialogue continuation (CPS: Conversation-turns Per Session) of VICA for the older half (age > 40) substantially improved 53% to CRECA and 71% to ELIZA. (ii) VICA’s capability to foster peace of mind and other positive feelings was assessed with a very high score of 5 or 6 mostly, out of 7 stages of the Likert scale, again by the older. Compared on average, such capability of VICA for the older is 5.14 while CRECA (all subjects are young students, age < 25) is 4.50, ELIZA is 3.50, and the best of ELIZA’s successors for the older (> 25) is 4.41.

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

[2]  Harry Shum,et al.  From Eliza to XiaoIce: challenges and opportunities with social chatbots , 2018, Frontiers of Information Technology & Electronic Engineering.

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

[4]  Setsuo Tsuruta,et al.  Equipping a context respectful counseling agent with a human-like voice synthesizer , 2016, 2016 World Automation Congress (WAC).

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

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

[7]  A. Ivey,et al.  Basic attending skills , 2006 .

[8]  Pawel Dybala,et al.  A System for Affect Analysis of Utterances in Japanese Supported with Web Mining , 2009 .

[9]  Jordi Vallverdú,et al.  Can machines talk? Comparison of Eliza with modern dialogue systems , 2016, Comput. Hum. Behav..

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

[11]  Tim Ashwell,et al.  How accurately can the Google Web Speech API recognize and transcribe Japanese L2 English learners’ oral production? , 2017 .

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

[13]  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.

[14]  Albert Rizzo,et al.  Virtual Reality Standardized Patients for Clinical Training , 2016 .

[15]  D. Malaspina,et al.  Disparities in Health Care Utilization and Functional Limitations Among Adults With Serious Psychological Distress, 2006-2014. , 2017, Psychiatric services.

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

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

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

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

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

[21]  Ernesto Damiani,et al.  Full Controllable Face Detection System Architecture for Robotic Vision , 2007, 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System.

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

[23]  Kenneth Powell Richard Rogers: Complete Works , 2006 .

[24]  Joseph Weizenbaum,et al.  ELIZA—a computer program for the study of natural language communication between man and machine , 1966, CACM.

[25]  Kallirroi Georgila,et al.  SimSensei kiosk: a virtual human interviewer for healthcare decision support , 2014, AAMAS.

[26]  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.