skip to main content
10.1145/3434073.3444668acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
research-article
Open Access

Designerly Ways of Knowing in HRI: Broadening the Scope of Design-oriented HRI Through the Concept of Intermediate-level Knowledge

Published:08 March 2021Publication History

ABSTRACT

Interest in design methods and tools has been steadily growing in HRI. Yet, design is not acknowledged as a discipline with specific epistemology and methodology. Designerly HRI work is validated through user studies which, we argue, provide a limited account of the knowledge design produces. This paper aims to broaden current understanding of designerly HRI work and its contributions by unpacking what designerly knowledge is and how to produce it. Through a critical analysis of current HRI design literature, we identify a lack of work dedicated to understanding the conceptual implications of robotic artifacts. These, in fact, are implicit carriers of crucial HRI knowledge that can challenge established assumptions about how a robot should look, act, and be like. We conclude by discussing a set of practices desirable to legitimize designerly HRI work, and calling for further research addressing the conceptual implications designerly HRI work.

References

  1. David Sirkin, Nik Martelaro, Hamish Tennent, Mishel Johns, Brian Mok, Wendy Ju, Guy Hoffman, Heather Knight, Bilge Mutlu, and Leila Takayama. 2016. Design Skills for HRI. In the Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI '16). IEEE Press, 581--582. DOI: 10.1109/HRI.2016.7451866Google ScholarGoogle Scholar
  2. Holmquist and Forlizzi. 2014. Special Issue on Design in HRI: Past, Present, and Future. J. Hum-Robot Interact. 3, 1 (February 2014).Google ScholarGoogle Scholar
  3. Cross, Nigel. 1982. Designerly ways of knowing. Design studies 3, no. 4, p.p. 221--227. DOI: https://doi.org/10.1016/0142--694X(82)90040-0Google ScholarGoogle Scholar
  4. Bartneck, C., Belpaeme, T., Eyssel, F., Kanda, T., Keijsers, M., & Sabanovic, S. (2020). Human-Robot Interaction -- An Introduction. Cambridge: Cambridge University Press.Google ScholarGoogle Scholar
  5. Löwgren Jonas. 2013. Annotated portfolios and other forms of intermediate-level knowledge. interactions 20, 1 (January + February 2013), 30--34. DOI: https://doi.org/10.1145/2405716.2405725Google ScholarGoogle Scholar
  6. Barendregt Wolmet, Olof Torgersson, Eva Eriksson, and Peter Börjesson. 2017. Intermediate-Level Knowledge in Child-Computer Interaction: A Call for Action. In Proceedings of the 2017 Conference on Interaction Design and Children (IDC '17). Association for Computing Machinery, New York, NY, USA, 7--16. DOI: https://doi.org/10.1145/3078072.3079719Google ScholarGoogle Scholar
  7. Höök Kristina and Jonas Löwgren. 2012. Strong concepts: Intermediate-level knowledge in interaction design research. ACM Trans. Comput-Hum. Interact. 19, 3, Article 23 (October 2012), 18 pages. DOI: https://doi.org/10.1145/2362364.2362371Google ScholarGoogle Scholar
  8. Kirsh David. 2005. Metacognition, distributed cognition and visual design. Cognition, education, and communication technology, p.p. 147--180.Google ScholarGoogle Scholar
  9. Redström, Johan. 2017. Making design theory. MIT Press.Google ScholarGoogle Scholar
  10. Horvath, Imre. 2008. Differences between'research in design context'and'design inclusive research'in the domain of industrial design engineering. Journal of Design Research 7, no. 1, 61--83.Google ScholarGoogle ScholarCross RefCross Ref
  11. Dalsgaard, Peter. 2017. Instruments of inquiry: Understanding the nature and role of tools in design. International Journal of Design 11, no. 1.Google ScholarGoogle Scholar
  12. John Zimmerman, Jodi Forlizzi, and Shelley Evenson. 2007. Research through design as a method for interaction design research in HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '07). Association for Computing Machinery, New York, NY, USA, 493--502. DOI: https://doi.org/10.1145/1240624.1240704Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Gaver William. 2012. What should we expect from research through design? In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). Association for Computing Machinery, New York, NY, USA, 937--946. DOI: https://doi.org/10.1145/2207676.2208538Google ScholarGoogle Scholar
  14. Stappers Pieter Jan and Giaccardi Elisa. 2017. Research through Design. In the Encyclopedia of Human-Computer Interaction, 2nd Ed, Chapter 43, Interaction Design Foundation.Google ScholarGoogle Scholar
  15. Schon, Donald. 1983. The Reflective Practitioner, Taylor & Francis, London, Temple Smith.Google ScholarGoogle Scholar
  16. Giaccardi, Elisa, Chris Speed, Nazli Cila, and Melissa Caldwell. 2016. Things as co-ethnographers: Implications of a thing perspective for design and anthropology." Design Anthropological Futures 235.Google ScholarGoogle Scholar
  17. Koskinen, Ilpo, John Zimmerman, Thomas Binder, Johan Redstrom, and Stephan Wensveen. 2011. Design research through practice: From the lab, field, and showroom. Elsevier.Google ScholarGoogle Scholar
  18. Wensveen, Stephan, and Ben Matthews. 2015. Prototypes and prototyping in design research. The Routledge Companion to Design Research. Taylor & Francis.Google ScholarGoogle Scholar
  19. Pelle Ehn. 2008. Participation in design things. In Proceedings of the Tenth Anniversary Conference on Participatory Design 2008 (PDC '08). Indiana University, Indianapolis, IN, USA, p.p. 92--101.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Szafir, Daniel, Bilge Mutlu, and Terrence Fong. 2015. Communicating directionality in flying robots. In 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI'15), Portland, USA, p.p. 19--26. DOI: https://doi.org/10.1145/2696454.2696475Google ScholarGoogle Scholar
  21. McCallum, Louis, and Peter W. McOwan. 2015. Face the music and glance: How nonverbal behaviour aids human robot relationships based in music. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI'15), Portland, USA. p.p. 237--244. DOI: https://doi.org/10.1145/2696454.2696477Google ScholarGoogle Scholar
  22. Harrison Anthony M., Wendy M. Xu, and J. Gregory Trafton. 2018. User-Centered Robot Head Design: a Sensing Computing Interaction Platform for Robotics Research (SCIPRR). In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI '18). Chicago, USA, p.p. 215--223. DOI: https://doi.org/10.1145/3171221.3171283Google ScholarGoogle Scholar
  23. Gomez Randy, Deborah Szapiro, Kerl Galindo, and Keisuke Nakamura. 2018. Haru: Hardware Design of an Experimental Tabletop Robot Assistant. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI'18). Chicago, USA, p.p. 233--240. DOI: https://doi.org/10.1145/3171221.3171288Google ScholarGoogle Scholar
  24. Moharana Sanika, Alejandro E. Panduro, Hee Rin Lee, and Laurel D. Riek. 2019. Robots for joy, robots for sorrow: community based robot design for dementia caregivers. In Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19). Daegu, Republic of Korea, p.p. 458--467. DOI: 10.1109/HRI.2019.8673206Google ScholarGoogle Scholar
  25. Cheon EunJeong and Norman Makoto Su. 2018. Futuristic Autobiographies: Weaving Participant Narratives to Elicit Values around Robots. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI '18). Chicago, USA, p.p. 388--397. DOI: https://doi.org/10.1145/3171221.3171244Google ScholarGoogle Scholar
  26. Lee Hee Rin, EunJeong Cheon, Maartje de Graaf, Patrícia Alves-Oliveira, Cristina Zaga, and James Young. 2019. Robots for social good: exploring critical design for HRI. In Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI '19). Daegu, Republic of Korea, p.p. 681--682. DOI: 10.1109/HRI.2019.8673130Google ScholarGoogle Scholar
  27. Murray-Rust, D., and von Jungenfeld, R. 2017. Thinking through robotic imaginaries. 3rd Biennial Research through Design Conference, Edinburg, UK.Google ScholarGoogle Scholar
  28. Lupetti Maria Luce. 2017. Shybo--design of a research artefact for human-robot interaction studies. Journal of Science and Technology of the Arts, 9(1), 57--69. DOI: https://doi.org/10.7559/citarj.v9i1.303Google ScholarGoogle ScholarCross RefCross Ref
  29. Lee Wen-Ying and Malte Jung. 2020. Ludic-HRI: Designing Playful Experiences with Robots. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI'20). Cambridge, UK, p.p. 582--584. DOI: https://doi.org/10.1145/3371382.3377429Google ScholarGoogle Scholar
  30. Luria, M., Zimmerman, J., & Forlizzi, J. 2019. Championing Research Through Design in HRI. arXiv preprint arXiv:1908.07572.Google ScholarGoogle Scholar
  31. Douglas K. Van Duyne, James Landay, and Jason I. Hong. 2002. The Design of Sites: Patterns, Principles, and Processes for Crafting a Customer-Centered Web Experience. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Gaver Bill and John Bowers. 2012. Annotated portfolios." Interactions 19, no. 4, 40--49.Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. 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 (HRI'15), Portland, USA p.p. 11--18. DOI: https://doi.org/10.1145/2696454.2696461Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Guy Hoffman, Oren Zuckerman, Gilad Hirschberger, Michal Luria, and Tal Shani Sherman. 2015. Design and Evaluation of a Peripheral Robotic Conversation Companion. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI'15). Portland, USA, 3--10. DOI: https://doi.org/10.1145/2696454.2696495Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Cesar Vandevelde and Jelle Saldien. 2016. An Open Platform for the Design of Social Robot Embodiments for Face-to-Face Communication. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI '16), Christchurch, New Zealand, p.p. 287--294. DOI: 10.1109/HRI.2016.7451764Google ScholarGoogle Scholar
  36. Arzu Guneysu Ozgur, Maximilian Jonas Wessel, Wafa Johal, Kshitij Sharma, Ayberk Özgür, Philippe Vuadens, Francesco Mondada, Friedhelm Christoph Hummel, and Pierre Dillenbourg. 2018. Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI '18). Chicago, USA, p.p. 241--250. DOI: https://doi.org/10.1145/3171221.3171262Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Meg Tonkin, Jonathan Vitale, Sarita Herse, Mary-Anne Williams, William Judge, and Xun Wang. 2018. Design Methodology for the UX of HRI: A Field Study of a Commercial Social Robot at an Airport. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI '18). Chicago, USA, p.p. 407--415. DOI: https://doi.org/10.1145/3171221.3171270Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Shiri Azenkot, Catherine Feng, and Maya Cakmak. 2016. Enabling Building Service Robots to Guide Blind People: A Participatory Design Approach. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI '16). Christchurch, New Zealand, p.p. 3--10. DOI: 10.1109/HRI.2016.7451727Google ScholarGoogle ScholarCross RefCross Ref
  39. Rea, D. J., and Young, J. E. 2019. Methods and effects of priming a teloperator's perception of robot capabilities. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19), Daegu, Republic of Korea, p.p. 739--741). DOI: 10.1109/HRI.2019.8673186Google ScholarGoogle Scholar
  40. Firestone, Justin W., Rubi Quiñones, and Brittany A. Duncan. 2019. Learning from Users: an Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19), Daegu, Republic of Korea, p.p. 163--171. DOI: 10.1109/HRI.2019.8673010Google ScholarGoogle Scholar
  41. Alisa Kalegina, Grace Schroeder, Aidan Allchin, Keara Berlin, and Maya Cakmak. 2018. Characterizing the Design Space of Rendered Robot Faces. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI'18). Chicago, USA, p.p. 96--104. DOI: https://doi.org/10.1145/3171221.3171286Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Martelaro, Nikolas, Victoria C. Nneji, Wendy Ju, and Pamela Hinds. 2016. Tell me more: Designing hri to encourage more trust, disclosure, and companionship. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI'16), Christchurch, New Zealand, p.p. 181--188. DOI: 10.1109/HRI.2016.7451750Google ScholarGoogle Scholar
  43. Peter Wang, Srinath Sibi, Brian Mok, and Wendy Ju. 2017. Marionette: Enabling On-Road Wizard-of-Oz Autonomous Driving Studies. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (HRI'17). Vienna, Austria, p.p. 234--243. DOI: https://doi.org/10.1145/2909824.3020256Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Lidwell William, Kritina Holden, and Jill Butler. 2010. Universal principles of design, revised and updated: 125 ways to enhance usability, influence perception, increase appeal, make better design decisions, and teach through design. Rockport Pub.Google ScholarGoogle Scholar
  45. Del Vleuten et al. 2015. The IoT Manifesto. Retrieved December 10, 2019, from: https://www.iotmanifesto.com/wp-content/themes/Manifesto/Manifesto.pdfGoogle ScholarGoogle Scholar
  46. Gurit E. Birnbaum, Moran Mizrahi, Guy Hoffman, Harry T. Reis, Eli J. Finkel, and Omri Sass. 2016. Machines as a Source of Consolation: Robot Responsiveness Increases Human Approach Behavior and Desire for Companionship. In the Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI '16). Christchurch, New Zealand, p.p. 165--171. DOI: 10.1109/HRI.2016.7451748Google ScholarGoogle ScholarCross RefCross Ref
  47. Sichao Song and Seiji Yamada. 2017. Expressing Emotions through Color, Sound, and Vibration with an Appearance-Constrained Social Robot. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (HRI'17). Vienna, Austria, p.p. 2--11. DOI: https://doi.org/10.1145/2909824.3020239Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Jessica Rebecca Cauchard, Kevin Y. Zhai, Marco Spadafora, and James A. Landay. 2016. Emotion Encoding in Human-Drone Interaction. In the Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI '16) Christchurch, New Zealand, p.p. 263--270. DOI: 10.1109/HRI.2016.7451761Google ScholarGoogle Scholar
  49. Hu Yuhan and Guy Hoffman. 2019. Using Skin Texture Change to Design Emotion Expression in Social Robots. 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19), Daegu, Republic of Korea. DOI: 10.1109/HRI.2019.8673012Google ScholarGoogle Scholar
  50. Kahn, P. H., Freier, N. G., Kanda, T., Ishiguro, H., Ruckert, J. H., Severson, R. L., & Kane, S. K. 2008. Design patterns for sociality in human-robot interaction. In Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction (HRI'08), Amsterdam, The Netherlands, p.p. 97--104. DOI: https://doi.org/10.1145/1349822.1349836Google ScholarGoogle Scholar
  51. Nielsen Jakob. 2005. Ten usability heuristics.Google ScholarGoogle Scholar
  52. Jonathan Vitale, Meg Tonkin, Sarita Herse, Suman Ojha, Jesse Clark, Mary-Anne Williams, Xun Wang, and William Judge. 2018. Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, USA, p.p. 379--387. DOI: https://doi.org/10.1145/3171221.3171269Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Scholtz Jean C. 2002. Human-robot interactions: Creating synergistic cyber forces. In Multi-Robot Systems: From Swarms to Intelligent Automata, pp. 177--184.Google ScholarGoogle Scholar
  54. Weiss, Astrid, Regina Bernhaupt, and Manfred Tscheligi. 2011. The USUS evaluation framework for user-centered HRI. New Frontiers in Human--Robot Interaction 2, 89--110. DOI: https://doi.org/10.1075/ais.2.07weiGoogle ScholarGoogle ScholarCross RefCross Ref
  55. Dautenhahn, Kerstin, Bernard Ogden, and Tom Quick. 2002. From embodied to socially embedded agents--implications for interaction-aware robots. Cognitive Systems Research 3, no. 3, 397--428. DOI: https://doi.org/10.1016/S1389-0417(02)00050--5Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. Löwgren Jonas. 2006. Articulating the use qualities of digital designs. Aesthetic computing, 383--403.Google ScholarGoogle Scholar
  57. Löwgren Jonas. 2007. Pliability as an experiential quality: Exploring the aesthetics of interaction design. Artifact: Journal of Design Practice 1, no. 2, 85--95.Google ScholarGoogle Scholar
  58. Yusuke Kato, Takayuki Kanda, and Hiroshi Ishiguro. 2015. May I help you? Design of Human-like Polite Approaching Behavior. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI '15). ACM, New York, NY, USA, 35--42. DOI: https://doi.org/10.1145/2696454.2696463Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Bardzell, Jeffrey. 2011. Interaction criticism: An introduction to the practice. Interacting with computers, 23.6, p.p. 604--621. DOI: 10.1016/j.intcom.2011.07.001Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Bardzell Jeffrey. 2009. Interaction criticism and aesthetics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, USA, p.p. 2357--2366. DOI: https://doi.org/10.1145/1518701.1519063Google ScholarGoogle Scholar
  61. Paul Baxter, James Kennedy, Emmanuel Senft, Severin Lemaignan, and Tony Belpaeme. 2016. From Characterising Three Years of HRI to Methodology and Reporting Recommendations. In the Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI'16). Christchurch, New Zealand, p.p. 391--398. DOI: 10.1109/HRI.2016.7451777Google ScholarGoogle ScholarCross RefCross Ref
  62. Gabriele Trovato, Cesar Lucho, Alexander Huerta-Mercado, and Francisco Cuellar. 2018. Design Strategies for Representing the Divine in Robots. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI '18). Chicago, USA, p.p. 29--35. DOI: https://doi.org/10.1145/3173386.3173388Google ScholarGoogle Scholar
  63. Stolterman Erik and Mikael Wiberg. 2010. Concept-driven interaction design research. Human--Computer Interaction 25, no. 2, p.p. 95--118, Taylor & Francis. DOI: https://doi.org/10.1080/07370020903586696Google ScholarGoogle ScholarCross RefCross Ref
  64. Nelson, Harold G., and Erik Stolterman. 2003. "Design Judgement: Decision-Making in the ?Real'World." The Design Journal 6, no. 1, p.p. 23--31.Google ScholarGoogle ScholarCross RefCross Ref
  65. Lacey, Cherie, and Catherine Caudwell. 2019. Cuteness as a "Dark Pattern'in Home Robots. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19), Daegu, Republic of Korea, pp. 374--381. IEEE, 2019. DOI: 10.1109/HRI.2019.8673274Google ScholarGoogle Scholar
  66. James Pierce. 2014. On the presentation and production of design research artifacts in HCI. In Proceedings of the 2014 conference on Designing interactive systems (DIS'14). Vancouver, Canada, p.p. 735--744. DOI: https://doi.org/10.1145/2598510.2598525Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. John Zimmerman, Jodi Forlizzi, and Shelley Evenson. 2007. Research through design as a method for interaction design research in HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '07). San Jose, USA, p.p. 493--502. DOI: https://doi.org/10.1145/1240624.1240704Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. Goodrich, Michael A., and Alan C. Schultz. 2008. Human-robot interaction: a survey. Now Publishers Inc.Google ScholarGoogle Scholar
  69. William Gaver. 2012. What should we expect from research through design? In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'12). Austin, USA, p.p. 937--946. DOI: https://doi.org/10.1145/2207676.2208538Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. Anderson-Bashan, Lucy, 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 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Nanjing and Tai'an, China, p.p. 595--602. DOI: 10.1109/ROMAN.2018.8525516Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Tennent H., S. Shen and M. Jung. 2019. Micbot: A Peripheral Robotic Object to Shape Conversational Dynamics and Team Performance. In Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19), Daegu, Republic of Korea, p.p. 133--142. DOI: 10.1109/HRI.2019.8673013Google ScholarGoogle Scholar
  72. Ayberk Özgür, Wafa Johal, Francesco Mondada, and Pierre Dillenbourg. 2017. Haptic-Enabled Handheld Mobile Robots: Design and Analysis. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI'17). Denver, USA, p.p. 2449--2461. DOI: https://doi.org/10.1145/3025453.3025994Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Hu, Yuhan, and Guy Hoffman. 2019. Using skin texture change to design emotion expression in social robots. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI'19), Daegu, Republic of Korea, p.p. 2--10. DOI: 10.1109/HRI.2019.8673012Google ScholarGoogle Scholar
  74. Selma. 2010. Robots in society, society in robots. International Journal of Social Robotics, 2 (4), p.p. 439--450. DOI: https://doi.org/10.1007/s12369-010-0066--7Google ScholarGoogle Scholar
  75. Bertelsen, O. W., and Pold, S. 2004. Criticism as an approach to interface aesthetics. In Proceedings of the third Nordic conference on Human-computer interaction, Tampere, Finland, p.p. 23--32. DOI: https://doi.org/10.1145/1028014.1028018Google ScholarGoogle Scholar
  76. Bowers John. 2012. The logic of annotated portfolios: communicating the value of 'research through design'. In Proceedings of the Designing Interactive Systems Conference (DIS'12), New Castle, UK, p.p. 68--77. DOI: https://doi.org/10.1145/2317956.2317968Google ScholarGoogle Scholar
  77. Hoggenmueller, M., Lee, W. Y., Hespanhol, L., Tomitsch, M., & Jung, M. 2020. Beyond the Robotic Artefact: Capturing Designerly HRI Knowledge through Annotated Portfolios. 1st First international workshop on Designerly HRI Knowledge. Held in conjunction with the 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN'20).Google ScholarGoogle Scholar
  78. Luciani, D. T., Lindvall, M., and Löwgren, J. 2018. Machine learning as a design material: a curated collection of exemplars for visual interaction. DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018.Google ScholarGoogle Scholar

Index Terms

  1. Designerly Ways of Knowing in HRI: Broadening the Scope of Design-oriented HRI Through the Concept of Intermediate-level Knowledge

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
        March 2021
        425 pages
        ISBN:9781450382892
        DOI:10.1145/3434073
        • General Chairs:
        • Cindy Bethel,
        • Ana Paiva,
        • Program Chairs:
        • Elizabeth Broadbent,
        • David Feil-Seifer,
        • Daniel Szafir

        Copyright © 2021 Owner/Author

        This work is licensed under a Creative Commons Attribution International 4.0 License.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 March 2021

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate242of1,000submissions,24%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader