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The Power of Opening Encounters in HRI: How Initial Robotic Behavior Shapes the Interaction that Follows

Published:11 March 2024Publication History

ABSTRACT

Opening encounters are a fundamental component of every interaction. Psychology research highlights the valence of opening encounters as one of the main factors shaping the interaction that follows. We evaluated whether opening encounters would have a similarly powerful effect on human-robot interactions. Specifically, we tested how positive and negative opening encounters with a robot would impact the subsequent interaction. Participants interacted with a robot that performed gestures communicating different valences of opening encounters: Positive, Negative, or No opening encounter. To evaluate the impact on the subsequent interaction, we measured participants' willingness to comply with a help request presented by the robot and their perception of the robot. Our results indicated that most participants in the Positive opening encounter condition helped the robot and described a positive overall perception. An opposite pattern emerged in the other two conditions. Almost none of the participants helped the robot, and the perception of the robot was less positive. Our findings suggest that opening encounters with robots should be carefully considered due to their impact on the interaction that follows.

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References

  1. Stella E Anderson and Larry J Williams. 1996. Interpersonal, job, and individual factors related to helping processes at work. Journal of Applied Psychology 81, 3 (1996), 282.Google ScholarGoogle ScholarCross RefCross Ref
  2. Lucy Anderson-Bashan, Benny Megidish, Hadas Erel, Iddo Wald, Guy Hoffman, Oren Zuckerman, and Andrey Grishko. 2018. The greeting machine: an abstract robotic object for opening encounters. In 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 595--602.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. João Avelino, Leonel Garcia-Marques, Rodrigo Ventura, and Alexandre Bernardino. 2021. Break the ice: a survey on socially aware engagement for human--robot first encounters. International Journal of Social Robotics 13, 8 (2021), 1851--1877.Google ScholarGoogle ScholarCross RefCross Ref
  4. Nils Backhaus, Patricia H Rosen, Andrea Scheidig, Horst-Michael Gross, and Sascha Wischniewski. 2018. Somebody help me, please?!" interaction design framework for needy mobile service robots. In 2018 IEEE workshop on advanced robotics and its social impacts (ARSO). IEEE, 54--61.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Markus Bajones, Astrid Weiss, and Markus Vincze. 2017. Investigating the influence of culture on helping behavior towards service robots. In Proceedings of the companion of the 2017 ACM/IEEE international conference on human-robot interaction. 75--76.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Christoph Bartneck, Dana Kulic, Elizabeth Croft, and Susana Zoghbi. 2009. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International journal of social robotics 1, 1 (2009), 71--81.Google ScholarGoogle ScholarCross RefCross Ref
  7. Simone A Blackman, Bethany J Wilson, Alistair R Reed, and Paul D McGreevy. 2019. Reported acquisition practices of Australian dog owners. Animals 9, 12 (2019), 1157.Google ScholarGoogle ScholarCross RefCross Ref
  8. Richard E Boyatzis. 1998. Transforming qualitative information: Thematic analysis and code development. sage.Google ScholarGoogle Scholar
  9. Cynthia Breazeal and Brian Scassellati. 2000. Infant-like social interactions between a robot and a human caregiver. Adaptive Behavior 8, 1 (2000), 49--74.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. What Social Robots Can, Should Do J Seibt, et al. 2016. Making place for social norms in the design of human-robot interaction. What social robots can and should do: proceedings of Robophilosophy (2016), 303.Google ScholarGoogle Scholar
  11. Manuel Carvalho, João Avelino, Alexandre Bernardino, Rodrigo Ventura, and Plinio Moreno. 2021. Human-Robot greeting: Tracking human greeting mental states and acting accordingly. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 1935--1941.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Elizabeth Cha and Maja Mataric. 2016. Using nonverbal signals to request help during human-robot collaboration. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 5070--5076.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Victor G Cicirelli. 1983. Adult children's attachment and helping behavior to elderly parents: A path model. Journal of Marriage and the Family (1983), 815--825.Google ScholarGoogle Scholar
  14. Joseph Daly, Ute Leonards, and Paul Bremner. 2020. Robots in need: How patterns of emotional behavior influence willingness to help. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. 174--176.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Joseph E Daly, Paul Bremner, and Ute Leonards. 2019. Robots in need: acquiring assistance with emotion. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 706--708.Google ScholarGoogle ScholarCross RefCross Ref
  16. Anna Dobrosovestnova, Isabel Schwaninger, and Astrid Weiss. 2022. With a little help of humans. an exploratory study of delivery robots stuck in snow. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 1023--1029.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Alessandro Duranti. 1997. Universal and Culture-Specific Properties of Greetings. Journal of Linguistic Anthropology 7, 1 (1997), 63--97.Google ScholarGoogle ScholarCross RefCross Ref
  18. Hadas Erel, Tzachi Shem Tov, Yoav Kessler, and Oren Zuckerman. 2019. Robots are always social: robotic movements are automatically interpreted as social cues. In Extended abstracts of the 2019 CHI conference on human factors in computing systems. 1--6.Google ScholarGoogle Scholar
  19. Hadas Erel, Denis Trayman, Chen Levy, Adi Manor, Mario Mikulincer, and Oren Zuckerman. 2022. Enhancing Emotional Support: The Effect of a Robotic Object on Human--Human Support Quality. International Journal of Social Robotics 14, 1 (2022), 257--276.Google ScholarGoogle ScholarCross RefCross Ref
  20. Abrar Fallatah, Bohkyung Chun, Sogol Balali, and Heather Knight. 2020. " Would You Please Buy Me a Coffee?" How Microcultures Impact People's Helpful Actions Toward Robots. In Proceedings of the 2020 ACM Designing Interactive Systems Conference. 939--950.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Raymond Firth. 1972. Verbal and bodily rituals of greeting and parting. The interpretation of ritual 1972 (1972), 1--38.Google ScholarGoogle Scholar
  22. Kerstin Fischer, Bianca Soto, Caroline Pantofaru, and Leila Takayama. 2014. Initiating interactions in order to get help: Effects of social framing on people's responses to robots' requests for assistance. In The 23rd IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 999--1005.Google ScholarGoogle ScholarCross RefCross Ref
  23. Kerstin Fischer, Stephen Yang, Brian Mok, Rohan Maheshwari, David Sirkin, and Wendy Ju. 2015. Initiating interactions and negotiating approach: a robotic trash can in the field. In 2015 AAAI Spring Symposium Series.Google ScholarGoogle Scholar
  24. Haruaki Fukuda, Masahiro Shiomi, Kayako Nakagawa, and Kazuhiro Ueda. 2012. 'Midas touch'in human-robot interaction: Evidence from event-related potentials during the ultimatum game. In Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction. 131--132.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Anne Galletta. 2013. Mastering the semi-structured interview and beyond: From research design to analysis and publication. Vol. 18. NYU Press.Google ScholarGoogle Scholar
  26. Raphaela Gehle, Karola Pitsch, Timo Dankert, and Sebastian Wrede. 2017. How to open an interaction between robot and museum visitor? Strategies to establish a focused encounter in HRI. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. 187--195.Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Erving Goffman. 1963. Behavior in public place. Glencoe: The Free Press, New York (1963).Google ScholarGoogle Scholar
  28. George B Graen and Terri A Scandura. 1987. Toward a psychology of dyadic organizing. Research in organizational behavior (1987).Google ScholarGoogle Scholar
  29. Adriana Hamacher, Nadia Bianchi-Berthouze, Anthony G Pipe, and Kerstin Eder. 2016. Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-robot interaction. In 2016 25th IEEE international symposium on robot and human interactive communication (RO-MAN). IEEE, 493--500.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Brandon Heenan, Saul Greenberg, Setareh Aghel-Manesh, and Ehud Sharlin. 2014. Designing social greetings in human-robot interaction. In Proceedings of the 2014 conference on Designing Interactive Systems. ACM, 855--864.Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Patrick Holthaus and Sven Wachsmuth. 2021. It was a pleasure meeting you: towards a holistic model of human--robot encounters. International Journal of Social Robotics 13 (2021), 1729--1745.Google ScholarGoogle ScholarCross RefCross Ref
  32. Helge Hüttenrauch and Kerstin Severinson Eklundh. 2003. To help or not to help a service robot. In Proceedings of the 12th IEEE International Workshop on Robot and Human Interactive Communication ROMAN'2003.Google ScholarGoogle ScholarCross RefCross Ref
  33. Takamasa Iio, Masahiro Shiomi, Kazuhiko Shinozawa, Takaaki Akimoto, Kat- sunori Shimohara, and Norihiro Hagita. 2011. Investigating entrainment of people's pointing gestures by robot's gestures using a WOz method. International Journal of Social Robotics 3 (2011), 405--414.Google ScholarGoogle ScholarCross RefCross Ref
  34. Wendy Ju and Leila Takayama. 2009. Approachability: How people interpret automatic door movement as gesture. International Journal of Design 3, 2 (2009).Google ScholarGoogle Scholar
  35. Malte F Jung, Dominic DiFranzo, Solace Shen, Brett Stoll, Houston Claure, and Austin Lawrence. 2020. Robot-assisted tower construction-a method to study the impact of a robot's allocation behavior on interpersonal dynamics and col- laboration in groups. ACM Transactions on Human-Robot Interaction (THRI) 10, 1 (2020), 1--23.Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Peter H Kahn, Nathan G Freier, Takayuki Kanda, Hiroshi Ishiguro, Jolina H Ruckert, Rachel L Severson, and Shaun K Kane. 2008. Design patterns for sociality in human-robot interaction. In Proceedings of the 3rd ACM/IEEE international conference on Human-robot interaction. 97--104.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Adam Kendon. 1990. Conducting interaction: Patterns of behavior in focused encounters. Vol. 7. CUP Archive.Google ScholarGoogle Scholar
  38. Mitsuhiko Kimoto, Yuuki Yasumatsu, and Michita Imai. 2022. Help-Estimator: Robot Requests for Help from Humans by Estimating a Person's Subjective Time. International Journal of Social Robotics (2022), 1--14.Google ScholarGoogle ScholarCross RefCross Ref
  39. Eleanor Knott, Aliya Hamid Rao, Kate Summers, and Chana Teeger. 2022. In- terviews in the social sciences. Nature Reviews Methods Primers 2, 1 (2022), 73.Google ScholarGoogle ScholarCross RefCross Ref
  40. Gabriella Lakatos, Márta Gácsi, Veronika Konok, Ildikó Brúder, Boróka Bereczky, Péter Korondi, and Ádám Miklósi. 2014. Emotion attribution to a non-humanoid robot in different social situations. PloS one 9, 12 (2014), e114207.Google ScholarGoogle ScholarCross RefCross Ref
  41. Adi Manor, Benny Megidish, Etay Todress, Mario Mikulincer, and Hadas Erel. 2022. A Non-Humanoid Robotic Object for Providing a Sense Of Security. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 1520--1527.Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Lawrence E Minnis, Doris Bitler Davis, and Kate E Loftis. 2022. Decision Factors Considered By Potential Dog Adopters During Shelter Visitation. Journal of Applied Animal Welfare Science (2022), 1--16.Google ScholarGoogle Scholar
  43. Amal Nanavati, Christoforos I Mavrogiannis, Kevin Weatherwax, Leila Takayama, Maya Cakmak, and Siddhartha S Srinivasa. 2021. Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning. In Robotics: Science and Systems.Google ScholarGoogle Scholar
  44. Nicolas E Neef, Sarah Zabel, Mathis Lauckner, and Siegmar Otto. 2023. What is appropriate? On the assessment of human-robot proxemics for casual encounters in closed environments. International Journal of Social Robotics (2023), 1--15.Google ScholarGoogle ScholarCross RefCross Ref
  45. Austin Lee Nichols and Jon K Maner. 2008. The good-subject effect: Investigating participant demand characteristics. The Journal of General Psychology 135, 2 (2008), 151--166.Google ScholarGoogle ScholarCross RefCross Ref
  46. G Nickell. 1998. The helping attitudes scale [Paper presentation]. In 106th Annual Convention of the American Psychological Association at San Francisco.Google ScholarGoogle Scholar
  47. Tatsuya Nomura, Takayuki Kanda, and Tomohiro Suzuki. 2006. Experimental investigation into influence of negative attitudes toward robots on human--robot interaction. Ai & Society 20, 2 (2006), 138--150.Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Jekaterina Novikova and Leon Watts. 2014. A design model of emotional body expressions in non-humanoid robots. In Proceedings of the second international conference on Human-agent interaction. 353--360.Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. RJG Opdenakker. 2006. Advantages and disadvantages of four interview techniques in qualitative research. In Forum Qualitative Sozialforschung= Forum: Qualitative Social Research, Vol. 7. Institut fur Klinische Sychologie and Gemein- desychologie, art--11.Google ScholarGoogle Scholar
  50. Maike Paetzel, Giulia Perugia, and Ginevra Castellano. 2020. The persistence of first impressions: The effect of repeated interactions on the perception of a social robot. In Proceedings of the 2020 ACM/IEEE international conference on human-robot interaction. 73--82.Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Karola Pitsch, Hideaki Kuzuoka, Yuya Suzuki, Luise Sussenbach, Paul Luff, and Christian Heath. 2009. The first five seconds": Contingent stepwise entry into an interaction as a means to secure sustained engagement in HRI. In RO-MAN 2009-The 18th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 985--991.Google ScholarGoogle ScholarCross RefCross Ref
  52. Aaron Powers and Sara Kiesler. 2006. The advisor robot: tracing people's mental model from a robot's physical attributes. In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. 218--225.Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Francesco Riccio, Andrea Vanzo, Valeria Mirabella, Tiziana Catarci, and Daniele Nardi. 2016. Enabling symbiotic autonomy in short-term interactions: A user study. In Social Robotics: 8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1--3, 2016 Proceedings 8. Springer, 796--807.Google ScholarGoogle ScholarCross RefCross Ref
  54. Ronald E Riggio and Howard S Friedman. 1986. Impression formation: The role of expressive behavior. Journal of personality and social psychology 50, 2 (1986), 421.Google ScholarGoogle ScholarCross RefCross Ref
  55. Ronald E Riggio, Howard S Friedman, and M Robin DiMatteo. 1981. Nonverbal greetings: Effects of the situation and personality. Personality and Social Psychology Bulletin 7, 4 (1981), 682--689.Google ScholarGoogle ScholarCross RefCross Ref
  56. Stephanie Rosenthal, Manuela Veloso, and Anind K Dey. 2012. Is someone in this office available to help me? Proactively seeking help from spatially-situated humans. Journal of Intelligent & Robotic Systems 66 (2012), 205--221.Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Matt J Rossano. 2012. The essential role of ritual in the transmission and reinforcement of social norms. Psychological Bulletin 138, 3 (2012), 529.Google ScholarGoogle ScholarCross RefCross Ref
  58. Satoru Satake, Takayuki Kanda, Dylan F Glas, Michita Imai, Hiroshi Ishiguro, and Norihiro Hagita. 2009. How to approach humans? Strategies for social robots to initiate interaction. In Proceedings of the 4th ACM/IEEE international conference on Human-robot interaction. 109--116.Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Shane Saunderson and Goldie Nejat. 2019. How robots influence humans: A survey of nonverbal communication in social human--robot interaction. International Journal of Social Robotics 11 (2019), 575--608.Google ScholarGoogle ScholarCross RefCross Ref
  60. Deborah Schiffrin. 1977. Opening encounters. American sociological review (1977), 679--691.Google ScholarGoogle Scholar
  61. Mohammad Shidujaman and Haipeng Mi. 2018. which country are you from?" a cross-cultural study on greeting interaction design for social robots. In Cross-Cultural Design. Methods, Tools, and Users: 10th International Conference, CCD 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15--20, 2018, Proceedings, Part I 10. Springer, 362--374.Google ScholarGoogle Scholar
  62. Candace Sidner and Christopher Lee. 2007. Attentional gestures in dialogues between people and robots. Engineering approaches to conversational informatics. Wiley and Sons (2007).Google ScholarGoogle Scholar
  63. David Sirkin, Brian Mok, Stephen Yang, and Wendy Ju. 2015. Mechanical ottoman: how robotic furniture offers and withdraws support. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction. 11--18.Google ScholarGoogle ScholarDigital LibraryDigital Library
  64. Anastacia Southland, Seana Dowling-Guyer, and Emily McCobb. 2019. Effect of visitor perspective on adoption decisions at one animal shelter. Journal of Applied Animal Welfare Science 22, 1 (2019), 1--12.Google ScholarGoogle ScholarCross RefCross Ref
  65. Vasant Srinivasan and Leila Takayama. 2016. Help me please: Robot polite- ness strategies for soliciting help from humans. In Proceedings of the 2016 CHI conference on human factors in computing systems. 4945--4955.Google ScholarGoogle ScholarDigital LibraryDigital Library
  66. Cass R Sunstein. 1996. Social norms and social roles. Colum. L. Rev. 96 (1996), 903.Google ScholarGoogle ScholarCross RefCross Ref
  67. Dag Sverre Syrdal, Kheng Lee Koay, Michael L Walters, and Kerstin Dautenhahn. 2007. A personalized robot companion?-The role of individual differences on spatial preferences in HRI scenarios. In RO-MAN 2007-The 16th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 1143--1148.Google ScholarGoogle ScholarCross RefCross Ref
  68. Leila Takayama and Caroline Pantofaru. 2009. Influences on proxemic behaviors in human-robot interaction. In Intelligent robots and systems, 2009. IROS 2009. IEEE/RSJ international conference on. IEEE, 5495--5502.Google ScholarGoogle Scholar
  69. Judith W Tansky. 1993. Justice and organizational citizenship behavior: What is the relationship? Employee responsibilities and rights journal 6 (1993), 195--207.Google ScholarGoogle Scholar
  70. Hamish Tennent, Dylan Moore, and Wendy Ju. 2018. Character actor: Design and evaluation of expressive robot car seat motion. proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 1--23.Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Gabriele Trovato, Massimiliano Zecca, Martin Do, Ömer Terlemez, Masuko Ku- ramochi, Alexander Waibel, Tamim Asfour, and Atsuo Takanishi. 2015. A novel greeting selection system for a culture-adaptive humanoid robot. International Journal of Advanced Robotic Systems 12, 4 (2015), 34.Google ScholarGoogle ScholarCross RefCross Ref
  72. Gabriele Trovato, Massimiliano Zecca, Salvatore Sessa, Lorenzo Jamone, Jaap Ham, Kenji Hashimoto, and Atsuo Takanishi. 2013. Cross-cultural study on human-robot greeting interaction: acceptance and discomfort by Egyptians and Japanese. Paladyn, Journal of Behavioral Robotics 4, 2 (2013), 83--93.Google ScholarGoogle ScholarCross RefCross Ref
  73. Michael L Walters, Kerstin Dautenhahn, René Te Boekhorst, Kheng Lee Koay, Christina Kaouri, Sarah Woods, Chrystopher Nehaniv, David Lee, and Iain Werry. 2005. The influence of subjects' personality traits on personal spatial zones in a human-robot interaction experiment. In Robot and Human Interactive Communication, 2005. ROMAN 2005. IEEE International Workshop on. IEEE, 347--352.Google ScholarGoogle ScholarCross RefCross Ref
  74. Michael L Walters, Mohammedreza A Oskoei, Dag Sverre Syrdal, and Kerstin Dautenhahn. 2011. A long-term human-robot proxemic study. In 2011 RO-MAN. IEEE, 137--142.Google ScholarGoogle Scholar
  75. Astrid Weiss, Nicole Mirnig, Ulrike Bruckenberger, Ewald Strasser, Manfred Tscheligi, Barbara Kühnlenz, Dirk Wollherr, and Bartlomiej Stanczyk. 2015. The interactive urban robot: user-centered development and final field trial of a direction requesting robot. Paladyn, Journal of Behavioral Robotics 6, 1 (2015), 000010151520150005.Google ScholarGoogle ScholarCross RefCross Ref
  76. Emily Weiss, Katherine Miller, Heather Mohan-Gibbons, and Carla Vela. 2012. Why did you choose this pet?: Adopters and pet selection preferences in five animal shelters in the United States. Animals 2, 2 (2012), 144--159.Google ScholarGoogle ScholarCross RefCross Ref
  77. Jin Xu and Ayanna Howard. 2018. The impact of first impressions on human-robot trust during problem-solving scenarios. In 2018 27th IEEE international symposium on robot and human interactive communication (RO-MAN). IEEE, 435--441.Google ScholarGoogle ScholarDigital LibraryDigital Library
  78. Oren Zuckerman, Dina Walker, Andrey Grishko, Tal Moran, Chen Levy, Barak Lisak, Iddo Yehoshua Wald, and Hadas Erel. 2020. Companionship Is Not a Function: The Effect of a Novel Robotic Object on Healthy Older Adults' Feelings of" Being-Seen". In Proceedings of the 2020 CHI conference on human factors in computing systems. 1--14.Google ScholarGoogle ScholarDigital LibraryDigital Library

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      cover image ACM Conferences
      HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
      March 2024
      982 pages
      ISBN:9798400703225
      DOI:10.1145/3610977

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