Experimental designs for cross-cultural interactions: A case study on affective body movements for HRI

Culture is not the first aspect that comes to mind when discussing human robot interaction. But our cultural upbringing does to a large degree influence our patterns of behavior and interpretation. Thus, culture is present in the development of robotic systems right from the start, unconsciously influencing how robots look, what we envision with them to do, and how they are programmed to interact with the user. In this paper we argue that is is beneficial to make this unconscious influence explicit and take it into account during the development (and evaluation) of humanoid robots. To this end we present a principled approach of capturing various cultural influences during the development process of humanoid robots and exemplify this approach with a case study of affective body movements.

[1]  Pei-Luen Patrick Rau,et al.  When in Rome: The role of culture & context in adherence to robot recommendations , 2010, 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[2]  Andrea Kleinsmith,et al.  Recognizing Emotion from Postures: Cross-Cultural Differences in User Modeling , 2005, User Modeling.

[3]  H. Wallbott Bodily expression of emotion , 1998 .

[4]  Riichiro Mizoguchi,et al.  the Cultural Domain turing the Cultural Domain turing the Cultural Domain turing the Cultural Domain with with with with anananan Upper Ontology of Culture Upper Ontology of Culture Upper Ontology of Culture Upper Ontology of Culture , 2010 .

[5]  Emmanuel G. Blanchard,et al.  Infusing Cultural Awareness into Intelligent Tutoring Systems for a Globalized World , 2010, Advances in Intelligent Tutoring Systems.

[6]  Astrid Weiss,et al.  Knowing me knowing you: exploring effects of culture and context on perception of robot personality , 2012, ICIC '12.

[7]  Atsuo Takanishi,et al.  Design of the humanoid robot KOBIAN - preliminary analysis of facial and whole body emotion expression capabilities- , 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

[8]  Jens Allwood,et al.  Intercultural Communication , 2002, Crabtracks.

[9]  Elizabeth A. Crane,et al.  Methodology for Assessing Bodily Expression of Emotion , 2010 .

[10]  R. Bhagat Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations , 2002 .

[11]  Matthias Rehm,et al.  Gesture-based mobile training of intercultural behavior , 2012, Multimedia Systems.

[12]  Elisabeth André,et al.  Avatar culture: cross-cultural evaluations of avatar facial expressions , 2009, AI & SOCIETY.

[13]  Brett Stevens,et al.  Emotional body language displayed by artificial agents , 2012, TIIS.

[14]  Hillary Anger Elfenbein,et al.  When familiarity breeds accuracy: cultural exposure and facial emotion recognition. , 2003, Journal of personality and social psychology.

[15]  M. D. Meijer The contribution of general features of body movement to the attribution of emotions , 1989 .

[16]  Yukiko I. Nakano,et al.  Culture and Social Relationship as Factors of Affecting Communicative Non-Verbal Behaviors , 2010 .

[17]  Vanessa Evers,et al.  Relational vs. group self-construal: Untangling the role of national culture in HRI , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[18]  Masafumi Hashimoto,et al.  Remarks on designing of emotional movement for simple communication robot , 2010, 2010 IEEE International Conference on Industrial Technology.

[19]  Yukiko I. Nakano,et al.  Culturally Aware Agent Communication , 2012, Human-Computer Interaction: The Agency Perspective.

[20]  Radoslaw Niewiadomski,et al.  How a Virtual Agent Should Smile? - Morphological and Dynamic Characteristics of Virtual Agent's Smiles , 2010, IVA.

[21]  Tatsuya Nomura,et al.  Human evaluation of affective body motions expressed by a small-sized humanoid robot: Comparison between elder people and university students , 2009, RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication.

[22]  Lora Aroyo,et al.  Knowledge-Based Linguistic Annotation of Digital Cultural Heritage Collections , 2009, IEEE Intelligent Systems.

[23]  Hung-Hsuan Huang,et al.  From observation to simulation: generating culture-specific behavior for interactive systems , 2009, AI & SOCIETY.

[24]  Tomomasa Sato,et al.  Analysis of Impression of Robot Bodily Expression , 2002, J. Robotics Mechatronics.

[25]  Elisabeth André,et al.  Creation and Evaluation of emotion expression with body movement, sound and eye color for humanoid robots , 2011, 2011 RO-MAN.

[26]  Katharina Reinecke,et al.  Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces , 2011, TCHI.

[27]  Torkil Clemmensen,et al.  A Framework for Thinking about the Maturity of Cultural Usability , 2009 .

[28]  T. Dalgleish Basic Emotions , 2004 .

[29]  R. Laban The mastery of movement on the stage , 1950 .

[30]  Megumi Masuda,et al.  Motion rendering system for emotion expression of human form robots based on Laban movement analysis , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[31]  Yukiko I. Nakano,et al.  Some Pitfalls for Developing Enculturated Conversational Agents , 2009, HCI.

[32]  Taketoshi Mori,et al.  Quantitative Analysis of Impression of Robot Bodily Expression based on Laban Movement Theory , 2001 .