Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3568294.3580035acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
research-article

Creative AI for HRI Design Explorations

Published: 13 March 2023 Publication History

Abstract

Design fixation, a phenomenon describing designers' adherence to pre-existing ideas or concepts that constrain design outcomes, is particularly prevalent in human-robot interaction (HRI), for example, due to collectively held and stabilised imaginations of what a robot should look like or behave. In this paper, we explore the contribution of creative AI tools to overcome design fixation and enhance creative processes in HRI design. In a four weeks long design exploration, we used generative text-to-image models to ideate and visualise robotic artefacts and robot sociotechnical imaginaries. We exchanged results along with reflections through a digital postcard format. We demonstrate the usefulness of our approach to imagining novel robot concepts, surfacing existing assumptions and robot stereotypes, and situating robotic artefacts in context. We discuss the contribution to designerly HRI practices and conclude with lessons learnt for using creative AI tools as an emerging design practice in HRI research and beyond.

Supplementary Material

MP4 File (althri_hoggenmueller_et_al.mp4)
In this video, we present our paper on "Creative AI for HRI Design Explorations". We explored the use of generative text-to-image models to overcome design fixation and enhance creative processes in HRI design. In a four weeks long design exploration, we used generative text-to-image models to ideate and visualise robotic artefacts and robot sociotechnical imaginaries. We exchanged results along with reflections through a digital postcard format. We demonstrate the usefulness of our approach to imagining novel robot concepts, surfacing existing assumptions and robot stereotypes, and situating robotic artefacts in context. We discuss the contribution to designerly HRI practices and conclude with lessons learnt for using creative AI tools as an emerging design practice in HRI research and beyond.

References

[1]
Almohannad Albastaki, Marius Hoggenmüller, Frederic Anthony Robinson, and Luke Hespanhol. 2021. Augmenting Remote Interviews through Virtual Experience Prototypes. In Proceedings of the 32nd Australian Conference on Human-Computer Interaction (Sydney, NSW, Australia) (OzCHI '20). Association for Computing Machinery, New York, NY, USA, 78--86. https://doi.org/10.1145/3441000. 3441057
[2]
Patrícia Alves-Oliveira, Maria Luce Lupetti, Michal Luria, Diana Löffler, Mafalda Gamboa, Lea Albaugh, Waki Kamino, Anastasia K. Ostrowski, David Puljiz, Pedro Reynolds-Cuéllar, Marcus Scheunemann, Michael Suguitan, and Dan Lockton. 2021. Collection of Metaphors for Human-Robot Interaction. In Designing Interactive Systems Conference 2021 (Virtual Event, USA) (DIS '21). Association for Computing Machinery, New York, NY, USA, 1366--1379. https: //doi.org/10.1145/3461778.3462060
[3]
James Auger. 2014. Living with Robots: A Speculative Design Approach. J. Hum.-Robot Interact. 3, 1 (Feb. 2014), 20--42. https://doi.org/10.5898/JHRI.3.1.Auger
[4]
Shaowen Bardzell. 2010. Feminist HCI: Taking Stock and Outlining an Agenda for Design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI '10). Association for Computing Machinery, New York, NY, USA, 1301--1310. https://doi.org/10.1145/1753326.1753521
[5]
Ned Barker and Carey Jewitt. 2022. Future touch in industry: Exploring sociotechnical imaginaries of tactile (tele)robots. Futures 136 (2022), 102885. https://doi.org/10.1016/j.futures.2021.102885
[6]
Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, and S. Sabanovic. 2020. Human-Robot Interaction: An Introduction. https: //doi.org/10.1017/9781108676649
[7]
Jessica Bielski, Burak Mete, Viktor Eisenstadt, Christoph Langenhan, Frank Petzold, Andreas Dengel, and Klaus-Dieter Althoff. 2022. Chasing the White Rabbit-- A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board. ICCC,[Preprint], Pinhal de Marrocos: Association for Computational Creativity (2022).
[8]
Andreas Bischof, Eva Hornecker, Antonia Lina Krummheuer, and Matthias Rehm. 2022. Re-Configuring Human-Robot Interaction. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (Sapporo, Hokkaido, Japan) (HRI '22). IEEE Press, 1234--1236.
[9]
Laurens Boer and Harvey Bewley. 2018. Reconfiguring the Appearance and Expression of Social Robots by Acknowledging Their Otherness. In Proceedings of the 2018 Designing Interactive Systems Conference (Hong Kong, China) (DIS '18). Association for Computing Machinery, New York, NY, USA, 667--677. https: //doi.org/10.1145/3196709.3196743
[10]
Oliver Bown, Kazjon Grace, Liam Bray, and Dan Ventura. 2020. A Speculative Exploration of the Role of Dialogue in Human-ComputerCo-creation. In ICCC. 25--32.
[11]
G. Cascini, Y. Nagai, G. V. Georgiev, J. Zelaya, N. Becattini, J. F. Boujut, H. Casakin, N. Crilly, E. Dekoninck, J. Gero, A. Goel, G. Goldschmidt, M. Gonçalves, K. Grace, L. Hay, P. Le Masson, M. L. Maher, D. Marjanović, D. Motte, P. Papalambros, R. Sosa, Srinivasan V, M. ?torga, B. Tversky, B. Yannou, and A. Wodehouse. 2022. Perspectives on design creativity and innovation research: 10 years later. International Journal of Design Creativity and Innovation 10, 1 (2022), 1--30. https://doi.org/10.1080/21650349.2022.2021480 arXiv:https://doi.org/10.1080/21650349.2022.2021480
[12]
Stephen Cave and Kanta Dihal. 2020. The Whiteness of AI. Philosophy & Technology 33, 4 (01 Dec 2020), 685--703. https://doi.org/10.1007/s13347-020-00415-6
[13]
Alan Chamberlain, Mads Bødker, and Konstantinos Papangelis. 2017. Mapping Media and Meaning: Autoethnography as an Approach to Designing Personal Heritage Soundscapes. In Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences (London, United Kingdom) (AM '17). Association for Computing Machinery, New York, NY, USA, Article 32, 4 pages. https://doi.org/10.1145/3123514.3123536
[14]
EunJeong Cheon 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 (Chicago, IL, USA) (HRI '18). Association for Computing Machinery, New York, NY, USA, 388--397. https://doi.org/10.1145/3171221.3171244
[15]
Wei-Chi Chien and Marc Hassenzahl. 2020. Technology-Mediated Rela- tionship Maintenance in Romantic Long-Distance Relationships: An Autoethnographical Research through Design. Human--Computer Interaction 35, 3 (2020), 240--287. https://doi.org/10.1080/07370024.2017.1401927 arXiv:https://doi.org/10.1080/07370024.2017.1401927
[16]
Nazli Cila, Cristina Zaga, and Maria Luce Lupetti. 2021. Learning from Robotic Artefacts: A Quest for Strong Concepts in Human-Robot Interaction. In Designing Interactive Systems Conference 2021 (Virtual Event, USA) (DIS '21). Association for Computing Machinery, New York, NY, USA, 1356--1365. https://doi.org/10. 1145/3461778.3462095
[17]
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, and Mubarak Shah. 2022. Diffusion models in vision: A survey. arXiv preprint arXiv:2209.04747 (2022).
[18]
Nigel Cross. 1982. Designerly ways of knowing. Design Studies 3, 4 (1982), 221--227. https://doi.org/10.1016/0142-694X(82)90040-0 Special Issue Design Education.
[19]
Kerstin Dautenhahn. 2018. Some Brief Thoughts on the Past and Future of Human-Robot Interaction. J. Hum.-Robot Interact. 7, 1, Article 4 (may 2018), 3 pages. https://doi.org/10.1145/3209769
[20]
Laura Della Sciucca, Emanuele Balloni, Marco Mameli, Emanuele Frontoni, Primo Zingaretti, and Marina Paolanti. 2022. StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation. In International Conference on Image Analysis and Processing. Springer, 191--202.
[21]
Skyla Y. Dudek and James E. Young. 2022. Fluid Sex Robots: Looking to the 2LGBTQIA+ Community to Shape the Future of Sex Robots. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (Sapporo, Hokkaido, Japan) (HRI '22). IEEE Press, 746--749.
[22]
Anthony Dunne and Fiona Raby. 2007. Technological Dreams Series: No.1, Robots. http://dunneandraby.co.uk/content/projects/10/0, last accessed: June 2020.
[23]
Ylva Fernaeus, Sara Ljungblad, Mattias Jacobsson, and Alex Taylor. 2009. Where Third Wave HCI Meets HRI: Report from a Workshop on User-Centred Design of Robots. In Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction (La Jolla, California, USA) (HRI '09). Association for Computing Machinery, New York, NY, USA, 293--294. https://doi.org/10.1145/1514095.1514182
[24]
Fabio Antonio Figoli, Lucia Rampino, and Francesca Mattioli. 2022. AI in design idea development: A workshop on creativity and human-AI collaboration. In DRS2022 (Bilbao, Spain), D. Lockton, S. Lenzi, P. Hekkert, A. Oak, J. Sádaba, and P. Lloyd (Eds.). https://doi.org/10.21606/drs.2022.414
[25]
Mary Ellen Foster, Manuel Giuliani, and Ron Petrick. 2011--2018. PubRob.org - The Workshop & Tutorial Series on Public Space Human-Robot Interaction. https://pubrob.org, last accessed: January 2020.
[26]
Mikhaila Friske, Jordan Wirfs-Brock, and Laura Devendorf. 2020. Entangling the Roles of Maker and Interpreter in Interpersonal Data Narratives: Explorations in Yarn and Sound. In Proceedings of the 2020 ACM Designing Interactive Systems Conference (Eindhoven, Netherlands) (DIS '20). Association for Computing Machinery, New York, NY, USA, 297--310. https://doi.org/10.1145/3357236.3395442
[27]
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2022. An image is worth one word: Personalizing text-to-image generation using textual inversion. arXiv preprint arXiv:2208.01618 (2022).
[28]
Maliheh Ghajargar, Jeffrey Bardzell, and Love Lagerkvist. 2022. A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence. In 25th International Academic Mindtrek Conference (Tampere, Finland) (Academic Mindtrek 2022). Association for Computing Machinery, New York, NY, USA, 230--241. https://doi.org/10.1145/3569219.3569418
[29]
Elisa Giaccardi and Johan Redström. 2020. Technology and More-Than-Human Design. Design Issues 36, 4 (2020), 33--44. https://doi.org/10.1162/desi_a_00612
[30]
Phillip Gough, A. Baki Kocaballi, Khushnood Z. Naqshbandi, Karen Cochrane, Kristina Mah, Ajit G. Pillai, Yeliz Yorulmaz, Ainnoun Kornita Deny, and Naseem Ahmadpour. 2022. Co-Designing a Technology Probe with Experienced Designers. In Proceedings of the 33rd Australian Conference on Human-Computer Interaction (Melbourne, VIC, Australia) (OzCHI '21). Association for Computing Machinery, New York, NY, USA, 1--13. https://doi.org/10.1145/3520495.3520513
[31]
Kazjon Grace, Mary Lou Maher, Douglas Fisher, and Katherine Brady. 2015. Data-intensive evaluation of design creativity using novelty, value, and surprise. International Journal of Design Creativity and Innovation 3, 3-4 (2015), 125-147. https://doi.org/10.1080/21650349.2014.943295arXiv:https://doi.org/10.1080/21650349.2014.943295
[32]
Marc Hassenzahl, Jan Borchers, Susanne Boll, Astrid Rosenthal-von der Pütten, and Volker Wulf. 2020. Otherware: How to Best Interact with Autonomous Systems. Interactions 28, 1 (dec 2020), 54--57. https://doi.org/10.1145/3436942
[33]
Marius Hoggenmueller, Luke Hespanhol, and Martin Tomitsch. 2020. Stop and Smell the Chalk Flowers: A Robotic Probe for Investigating Urban Interaction with Physicalised Displays. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10.1145/3313831.3376676
[34]
Marius Hoggenmüller, Wen-Ying Lee, Luke Hespanhol, Malte Jung, and Martin Tomitsch. 2021. Eliciting New Perspectives in RtD Studies through Annotated Portfolios: A Case Study of Robotic Artefacts. In Designing Interactive Systems Conference 2021 (Virtual Event, USA) (DIS '21). Association for Computing Machinery, New York, NY, USA, 1875--1886. https://doi.org/10.1145/3461778. 3462134
[35]
Rowan T Hughes, Liming Zhu, and Tomasz Bednarz. 2021. Generative Adversarial Networks--Enabled Human--Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends. Frontiers in artificial intelligence 4 (2021), 604234.
[36]
Rowan T. Hughes, Liming Zhu, and Tomasz Bednarz. 2021. Generative Adversarial Networks--Enabled Human--Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends. Frontiers in Artificial Intelligence 4 (2021). https: //doi.org/10.3389/frai.2021.604234
[37]
Angel Hsing-Chi Hwang. 2022. Too Late to Be Creative? AI-Empowered Tools in Creative Processes. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 38, 9 pages. https: //doi.org/10.1145/3491101.3503549
[38]
Francisco Ibarrola, Tomas Lawton, and Kazjon Grace. 2022. A Collaborative, Interactive and Context-Aware Drawing Agent for Co-Creative Design. https: //doi.org/10.48550/ARXIV.2209.12588
[39]
Daisuke Iizawa and Shunji Yamanaka. 2022. Face on a Globe: A Spherical Robot That Appears Lifelike Through Smooth Deformations and Autonomous Movement. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (Sapporo, Hokkaido, Japan) (HRI '22). IEEE Press, 502--510.
[40]
David G. Jansson and Steven M. Smith. 1991. Design fixation. Design Studies 12, 1 (1991), 3--11. https://doi.org/10.1016/0142-694X(91)90003-F
[41]
S. Jasanoff and S.H. Kim. 2015. Dreamscapes of Modernity: Sociotechnical Imaginaries and the Fabrication of Power. University of Chicago Press. https: //books.google.com.au/books?id=CbbdrQEACAAJ
[42]
Carey Jewitt, Sara Price, Kerstin Leder Mackley, Nikoleta Yiannoutsou, and Douglas Atkinson. 2020. Sociotechnical Imaginaries of Digital Touch. Springer International Publishing, Cham, 89--106. https://doi.org/10.1007/978-3-030-24564-1_6
[43]
Malte Jung and Pamela Hinds. 2018. Robots in the Wild: A Time for More Robust Theories of Human-Robot Interaction. J. Hum.-Robot Interact. 7, 1, Article 2 (may 2018), 5 pages. https://doi.org/10.1145/3208975
[44]
Vivian Liu and Lydia B Chilton. 2022. Design Guidelines for Prompt Engineering Text-to-Image Generative Models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 384, 23 pages. https://doi.org/10.1145/3491102.3501825
[45]
Vivian Liu, Han Qiao, and Lydia Chilton. 2022. Opal: Multimodal Image Generation for News Illustration. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST '22). Association for Computing Machinery, New York, NY, USA, Article 73, 17 pages. https://doi.org/10.1145/3526113.3545621
[46]
Diana Löffler, Judith Dörrenbächer, Julika Welge, and Marc Hassenzahl. 2020. Hybridity as Design Strategy for Service Robots to Become Domestic Products. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1--8. https://doi.org/10.1145/3334480.3382832
[47]
Junlan Lu and Magdalini Eirinaki. 2021. Can a machine win a Grammy? An evaluation of AI-generated song lyrics. In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 4896--4905.
[48]
Andrés Lucero. 2015. Using Affinity Diagrams to Evaluate Interactive Prototypes. In Human-Computer Interaction -- INTERACT 2015, Julio Abascal, Simone Barbosa, Mirko Fetter, Tom Gross, Philippe Palanque, and Marco Winckler (Eds.). Springer International Publishing, Cham, 231--248.
[49]
Andrés Lucero, Audrey Desjardins, Carman Neustaedter, Kristina Höök, Marc Hassenzahl, and Marta E. Cecchinato. 2019. A Sample of One: First-Person Research Methods in HCI. In Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion (San Diego, CA, USA) (DIS '19 Companion). Association for Computing Machinery, New York, NY, USA, 385--388. https://doi.org/10.1145/3301019.3319996
[50]
Maria Luce Lupetti, Cristina Zaga, and Nazli Cila. 2021. Designerly Ways of Knowing in HRI: Broadening the Scope of Design-Oriented HRI Through the Concept of Intermediate-Level Knowledge. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI '21). Association for Computing Machinery, New York, NY, USA, 389--398. https: //doi.org/10.1145/3434073.3444668
[51]
Giorgia Lupi and Stefanie Posavec. 2016. Dear Data. Princeton Architectural Press, Hudson, NY, United States.
[52]
Michal Luria, Judeth Oden Choi, Rachel Gita Karp, John Zimmerman, and Jodi Forlizzi. 2020. Robotic Futures: Learning about Personally-Owned Agents through Performance. Association for Computing Machinery, New York, NY, USA, 165--177. https://doi.org/10.1145/3357236.3395488
[53]
Michal Luria, Juliet Pusateri, Judeth Oden Choi, Reuben Aronson, Nur Yildirim, and Molly Wright Steenson. 2020. Medieval Robots: The Role of Historical Automata in the Design of Future Robots. In Companion Publication of the 2020 ACM Designing Interactive Systems Conference (Eindhoven, Netherlands) (DIS' 20 Companion). Association for Computing Machinery, New York, NY, USA, 191--195. https://doi.org/10.1145/3393914.3395890
[54]
Kristina Mah, Lian Loke, and Luke Hespanhol. 2021. Understanding Compassion Cultivation for Design: Towards an Autoethnography of Tonglen. In Proceedings of the 32nd Australian Conference on Human-Computer Interaction (Sydney, NSW, Australia) (OzCHI '20). Association for Computing Machinery, New York, NY, USA, 748--754. https://doi.org/10.1145/3441000.3441065
[55]
Diana P. Moreno, Luciënne T. Blessing, Maria C. Yang, Alberto A. Hernández, and Kristin L. Wood. 2016. Overcoming design fixation: Design by analogy studies and nonintuitive findings. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, 2 (2016), 185--199. https://doi.org/10.1017/S0890060416000068
[56]
Michael Muller, Lydia B Chilton, Anna Kantosalo, Charles Patrick Martin, and Greg Walsh. 2022. GenAICHI: Generative AI and HCI. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 110, 7 pages. https://doi.org/10.1145/3491101.3503719
[57]
H Na and W Kim. 2022. An Empirical Study on the Use of Generative Design on Product Design. Archives of (2022).
[58]
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022. Dreamfusion: Text-to-3d using 2d diffusion. arXiv preprint arXiv:2209.14988 (2022).
[59]
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022. Hierarchical Text-Conditional Image Generation with CLIP Latents. https: //doi.org/10.48550/ARXIV.2204.06125
[60]
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022. Hierarchical Text-Conditional Image Generation with CLIP Latents. https: //doi.org/10.48550/ARXIV.2204.06125
[61]
Lyle Regenwetter, Amin Heyrani Nobari, and Faez Ahmed. 2022. Deep generative models in engineering design: A review. Journal of Mechanical Design 144, 7 (2022), 071704.
[62]
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021. High-Resolution Image Synthesis with Latent Diffusion Models. CoRR abs/2112.10752 (2021). arXiv:2112.10752 https://arxiv.org/abs/2112.10752
[63]
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022. Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation. arXiv preprint arXiv:2208.12242 (2022).
[64]
Selma Sabanovic. 2010. Robots in Society, Society in Robots. International Journal of Social Robotics 2 (2010), 439--450.
[65]
S. Sabanovic, M.P. Michalowski, and R. Simmons. 2006. Robots in the wild: observing human-robot social interaction outside the lab. In 9th IEEE International Workshop on Advanced Motion Control, 2006. 596--601. https://doi.org/10.1109/ AMC.2006.1631758
[66]
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al . 2022. Laion-5b: An open large-scale dataset for training next generation image-text models. arXiv preprint arXiv:2210.08402 (2022).
[67]
Lucas Nunes Sequeira, Bruno Moreschi, and Vinicius Ariel Arruda dos Santos. 2021. Which Human Faces Can an AI Generate? Lack of Diversity in This Person Does Not Exist. AoIR Selected Papers of Internet Research 2021 (Sep. 2021). https://doi.org/10.5210/spir.v2021i0.12240
[68]
Sofia Serholt, Sara Ljungblad, and Niamh Ni Bhroin. 2021. Introduction: special issue-critical robotics research. AI & SOCIETY (06 2021). https://doi.org/10. 1007/s00146-021-01224-x
[69]
Luca Simeone, Riccardo Mantelli, and Alfredo Adamo. 2022. Pushing divergence and promoting convergence in a speculative design process: Considerations on the role of AI as a co-creation partner. In DRS2022 (Bilbao, Spain), D. Lockton, S. Lenzi, P. Hekkert, A. Oak, J. Sádaba, and P. Lloyd (Eds.). https://doi.org/10.21606/drs.2022.197
[70]
Ut Na Sio, Kenneth Kotovsky, and Jonathan Cagan. 2015. Fixation or inspiration? A meta-analytic review of the role of examples on design processes. Design Studies 39 (2015), 70--99. https://doi.org/10.1016/j.destud.2015.04.004
[71]
Ramya Srinivasan and Kanji Uchino. 2021. Biases in Generative Art: A Causal Look from the Lens of Art History. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT '21). Association for Computing Machinery, New York, NY, USA, 41--51. https: //doi.org/10.1145/3442188.3445869
[72]
Ryan Steed and Aylin Caliskan. 2021. Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT '21). Association for Computing Machinery, New York, NY, USA, 701--713. https://doi.org/10.1145/3442188.3445932
[73]
Claire Stevenson, Iris Smal, Matthijs Baas, Raoul Grasman, and Han van der Maas. 2022. Putting GPT-3's Creativity to the (Alternative Uses) Test. arXiv preprint arXiv:2206.08932 (2022).
[74]
Calvin W. Taylor. 1988. Various approaches to and definitions of creativity. Cambridge University Press, New York, NY, US, 99--121.
[75]
Justin D. Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B. Chilton, David Bau, and Werner Geyer. 2022. HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. In 27th International Conference on Intelligent User Interfaces (Helsinki, Finland) (IUI '22 Companion). Association for Computing Machinery, New York, NY, USA, 4--6. https://doi.org/10.1145/3490100.3511166
[76]
Justin D Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B Chilton, David Bau, and Werner Geyer. 2022. HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. In 27th International Conference on Intelligent User Interfaces. 4--6.
[77]
Chung-Yi Weng, Brian Curless, and Ira Kemelmacher-Shlizerman. 2019. Photo Wake-Up: 3D Character Animation From a Single Photo. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5901--5910. https://doi.org/10.1109/CVPR.2019.00606
[78]
Katie Winkle, Gaspar Isaac Melsión, Donald McMillan, and Iolanda Leite. 2021. Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI '21 Companion). Association for Computing Machinery, New York, NY, USA, 29--37. https://doi.org/10.1145/3434074.3446910
[79]
Haian Xue and Pieter M.A. Desmet. 2019. Researcher introspection for experience-driven design research. Design Studies 63 (2019), 37--64. https://doi.org/10.1016/j.destud.2019.03.001
[80]
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang. 2022. Diffusion models: A comprehensive survey of methods and applications. arXiv preprint arXiv:2209.00796 (2022).
[81]
J.D. Zamfirescu-Pereira, David Sirkin, David Goedicke, Ray LC, Natalie Friedman, Ilan Mandel, Nikolas Martelaro, and Wendy Ju. 2021. Fake It to Make It: Exploratory Prototyping in HRI. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI '21 Companion). Association for Computing Machinery, New York, NY, USA, 19--28. https://doi.org/10.1145/3434074.3446909

Cited By

View all
  • (2024)AI as a Citizen: Eliciting Smart City Future Stories through Human-AI Collaborative Fiction WritingProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681744(330-335)Online publication date: 8-Oct-2024
  • (2024)Exploring the Supportive Role of Artificial Intelligence in Participatory Design: A Systematic ReviewProceedings of the Participatory Design Conference 2024: Exploratory Papers and Workshops - Volume 210.1145/3661455.3669868(37-44)Online publication date: 11-Aug-2024
  • (2024)Futuring Machines: An Interactive Framework for Participative Futuring Through Human-AI Collaborative Speculative Fiction WritingProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665904(1-7)Online publication date: 8-Jul-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
March 2023
612 pages
ISBN:9781450399708
DOI:10.1145/3568294
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2023

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. creative ai
  2. design research
  3. generative ai
  4. human-robot interaction
  5. ideation
  6. sociotechnical imaginaries
  7. text-to-image models

Qualifiers

  • Research-article

Conference

HRI '23
Sponsor:

Acceptance Rates

Overall Acceptance Rate 268 of 1,124 submissions, 24%

Upcoming Conference

HRI '25
ACM/IEEE International Conference on Human-Robot Interaction
March 4 - 6, 2025
Melbourne , VIC , Australia

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)277
  • Downloads (Last 6 weeks)40
Reflects downloads up to 19 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)AI as a Citizen: Eliciting Smart City Future Stories through Human-AI Collaborative Fiction WritingProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681744(330-335)Online publication date: 8-Oct-2024
  • (2024)Exploring the Supportive Role of Artificial Intelligence in Participatory Design: A Systematic ReviewProceedings of the Participatory Design Conference 2024: Exploratory Papers and Workshops - Volume 210.1145/3661455.3669868(37-44)Online publication date: 11-Aug-2024
  • (2024)Futuring Machines: An Interactive Framework for Participative Futuring Through Human-AI Collaborative Speculative Fiction WritingProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665904(1-7)Online publication date: 8-Jul-2024
  • (2024)The Effects of Generative AI on Design Fixation and Divergent ThinkingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642919(1-18)Online publication date: 11-May-2024
  • (2024)Shaping Relatable Robots: A Child-Centered Approach to Social PersonalizationCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3638374(127-129)Online publication date: 11-Mar-2024
  • (2024)Multilingual Cross-Modal Image Synthesis with Text-Guided Generative AI2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCICT62777.2024.00096(576-582)Online publication date: 19-Apr-2024
  • (2024)Integrating AIGC with design: dependence, application, and evolution - a systematic literature reviewJournal of Engineering Design10.1080/09544828.2024.2362587(1-39)Online publication date: 6-Jun-2024
  • (2024)Use Cases of Generative AI in Asset Management of RailwaysInternational Congress and Workshop on Industrial AI and eMaintenance 202310.1007/978-3-031-39619-9_2(15-29)Online publication date: 1-Jan-2024
  • (2023)Latent morphologies: Encoding architectural features and decoding their structure through artificial intelligenceInternational Journal of Architectural Computing10.1177/1478077123120945822:3(353-372)Online publication date: 30-Oct-2023
  • (2023)Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public EnvironmentsProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638440(701-705)Online publication date: 2-Dec-2023

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media