Affective Body Movements (for Robots) Across Cultures

Humans are very good in expressing and interpreting emotions from a variety of different sources like voice, facial expression, or body movements. In this chapter, we concentrate on body movements and show that those are not only a source of affective information but might also have a different interpretation in different cultures. To cope with these multiple viewpoints in generating and interpreting body movements in robots, we suggest a methodological approach that takes the cultural background of the developer and the user into account during the development process. We exemplify this approach with a study on creating an affective knocking movement for a humanoid robot and give details about a co-creation experiment for collecting a cross-cultural database on affective body movements and about the probabilistic model derived from this data.

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

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

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

[4]  R. Laban,et al.  The mastery of movement , 1950 .

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

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

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

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

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

[10]  D. Sperber,et al.  Explaining Culture: A Naturalistic Approach , 1998 .

[11]  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.

[12]  Aaron Marcus,et al.  The Impact of Culture on the Design of Arabic Websites , 2009, HCI.

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

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

[15]  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 .

[16]  Ana Paiva,et al.  Games based learning for Exploring Cultural Conflict , 2011 .

[17]  P. Gallaher.  Individual differences in nonverbal behavior: Dimensions of style. , 1992 .

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

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

[20]  Matthias Rehm.  Developing Enculturated Agents: Pitfalls and Strategies , 2010 .

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

[22]  Matthias Rehm,et al.  Nonsymbolic Gestural Interaction for Ambient Intelligence , 2010, AmI 2010.

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

[24]  R. Park.  Race and culture , 1950 .

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

[26]  Richard McElreath,et al.  Dual-inheritance theory: The evolution of human cultural capacities and cultural evolution , 2007 .

[27]  S. Levinson,et al.  WEIRD languages have misled us, too , 2010, Behavioral and Brain Sciences.

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

[29]  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.

[30]  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).

[31]  E. Wenger.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[32]  P. Hinds,et al.  When in Rome: the role of culture & context in adherence to robot recommendations , 2010, HRI 2010.

[33]  Gert Jan Hofstede,et al.  Exploring Culture: Exercises, Stories and Synthetic Cultures , 2002 .

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

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

[36]  C. B. Colby.  The weirdest people in the world , 1973 .

[37]  G. Hofstede.  Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations , 2001 .

[38]  Milton J. Bennett.  A developmental approach to training for intercultural sensitivity , 1986 .

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

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

[41]  Etienne Wenger,et al.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

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