Embodiment matters: toward culture-specific robotized counselling

In this paper, we propose adding the traditional Japanese nodding behavior to the repertoire of social movements to be used in the context of human–robot interaction. Our approach is motivated by the notion that in many cultures, trust-building can be boosted by small body gestures. We discuss the integration of a robot capable of such movements within CRECA, our context-respectful counseling agent. The frequent nodding called “unazuki” in Japan, often accompanying the “un-un” sound (meaning “I agree”) of Japanese onomatopoeia, underlines empathy and embodies unconditioned approval. We argue that “unazuki” creates more empathy and promotes longer conversation between the robotic counsellor and people. We set up an experiment involving ten subjects to verify these effects. Our quantitative evaluation is based on the classic metrics of utterance, adapted to support the Japanese language. Interactions featuring “unazuki” showed higher value of this metrics. Moreover, subjects assessed the counselling robot’s trustworthiness and kindness as “very high” (Likert scale: 5.5 versus 3—4.5) showing the effect of social gestures in promoting empathetic dialogue to general people including the younger generation. Our findings support the importance of social movements when using robotized agents as a therapeutic tool aimed at improving emotional state and social interactions, with unambiguous evidence that embodiment can have a positive impact that warrants further exploration. The 3D printable design of our robot supports creating culture-specific libraries of social movements, adapting the gestural repertoire to different human cultures.

[1]  Takanori Shibata,et al.  Living With Seal Robots—Its Sociopsychological and Physiological Influences on the Elderly at a Care House , 2007, IEEE Transactions on Robotics.

[2]  Setsuo Tsuruta,et al.  Highly enhanced context respectful counseling agent , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

[4]  F. Borgen,et al.  Counseling psychology. , 1984, Annual review of psychology.

[5]  Srikanth Machiraju,et al.  Azure Cognitive Services , 2018 .

[6]  Bettina M. Pause,et al.  Non-anthropomorphic robots as social entities on a neurophysiological level , 2016, Comput. Hum. Behav..

[7]  K. Pargament,et al.  Novel online training program improves spiritual competencies in mental health care. , 2020 .

[8]  Naoyuki Kubota,et al.  A novel multimodal communication framework using robot partner for aging population , 2015, Expert Syst. Appl..

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

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

[11]  Matthias Scheutz,et al.  Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human–Robot Interaction Research , 2020, International Journal of Social Robotics.

[12]  Markus H. Gross,et al.  Interactive design of 3D-printable robotic creatures , 2015, ACM Trans. Graph..

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

[14]  W. Buxton Human-Computer Interaction , 1988, Springer Berlin Heidelberg.

[15]  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.

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

[17]  Vijay V. Raghavan,et al.  Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines , 2017, Int. J. Semantic Web Inf. Syst..

[18]  Madeleine E. Pullman,et al.  Ability of Experience Design Elements to Elicit Emotions and Loyalty Behaviors , 2004, Decis. Sci..

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

[20]  Fiona Inglis,et al.  Delivery of Compassionate Mental Health Care in a Digital Technology–Driven Age: Scoping Review , 2020, Journal of medical Internet research.

[21]  H. Chad Lane,et al.  Virtual Humans for Learning , 2013, AI Mag..

[22]  Anton Leuski,et al.  The Effect of An Animated Virtual Character on Mobile Chat Interactions , 2015, HAI.

[23]  Naoyuki Kubota,et al.  Rehabilitation Support System Using Multimodal Interface Device for Aphasia Patients , 2016, ICIRA.

[24]  David Suendermann-Oeft,et al.  A Handsome Set of Metrics to Measure Utterance Classification Performance in Spoken Dialog Systems , 2009, SIGDIAL Conference.

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

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

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

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

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

[30]  Takayuki Osugi,et al.  Effects of Head Nodding and Shaking Motions on Perceptions of Likeability and Approachability , 2018, Perception.

[31]  Naonori Kodate,et al.  Measuring the impact of age, gender and dementia on communication‐robot interventions in residential care homes , 2020, Geriatrics & gerontology international.

[32]  Laura Vincze,et al.  Types of Nods. The Polysemy of a Social Signal , 2010, LREC.

[33]  Vanessa Evers,et al.  A Simple Nod of the Head: The Effect of Minimal Robot Movements on Children's Perception of a Low-Anthropomorphic Robot , 2017, CHI.

[34]  Kentarou Kurashige,et al.  Nodding behavioral context respectful counseling agent , 2016, 2016 World Automation Congress (WAC).

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