Zhuying Li
ABSTRACT
A "creative city" can promote creativity among its citizens and provide them fulfilling lived experience. Such a concept has captivated city authorities worldwide, and motivated plenty of works to investigate how to make our cities more "creative". We argue that there is a need and an opportunity to design interactive technologies to push the creative city agenda. In this paper, we present WeMonet, a design prototype supporting citizens engaging in participatory street art creation via human-AI collaboration. Citizens' sketches are synthesized, enhanced to be more vivid through machine machine learning algorithms, and projected on a screen, forming a participatory artwork. WeMonet aims to promote citizens' engagement in creative practices and hence the city's creativity. More broadly speaking, we hope this work could inspire designers to consider the role of interaction design in the creative city agenda.
- Mara Balestrini. 2017. A city in common: explorations on sustained community engagement with bottom-up civic technologies. Ph.D. Dissertation. University College London.Google Scholar
- Susanne Bødker. 2006. When Second Wave HCI Meets Third Wave Challenges. In Proceedings of the 4th Nordic Conference on Human-computer Interaction: Changing Roles (NordiCHI '06). ACM, New York, NY, USA, 1--8. DOI: http://dx.doi.org/10.1145/1182475.1182476Google ScholarDigital Library
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101.Google Scholar
- Scott Carter, Elizabeth Churchill, Laurent Denoue, Jonathan Helfman, and Les Nelson. 2004. Digital graffiti: public annotation of multimedia content. In CHI'04 extended abstracts on Human factors in computing systems. ACM, 1207--1210.Google ScholarDigital Library
- Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A. Smith. 2018. Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. In 23rd International Conference on Intelligent User Interfaces (IUI '18). ACM, NY, NY, USA, 329--340. DOI: http://dx.doi.org/10.1145/3172944.3172983Google ScholarDigital Library
- Patrick Cohendet, David Grandadam, and Laurent Simon. 2010. The anatomy of the creative city. Industry and innovation 17, 1 (2010), 91--111.Google Scholar
- Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, and Philipp Ebel. 2019. The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems. In Hawaii International Conference on System Sciences (HICSS).Google Scholar
- Michael Delli Carpini. 2007. Civic engagement. American Psychological Association (2007).Google Scholar
- Kevin Dzobo, Sampson Adotey, Nicholas E. Thomford, and Witness Dzobo. 0. Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine. OMICS: A Journal of Integrative Biology 0, 0 (0), null. DOI: http://dx.doi.org/10.1089/omi.2019.0038Google ScholarCross Ref
- Gabriele Ferri, Nicolai B Hansen, Adam van Heerden, and Ben AM Schouten. 2018. Design Concepts for Empowerment through Urban Play. In DiGRA 2018.Google Scholar
- Mike Harding, Bran Knowles, Nigel Davies, and Mark Rouncefield. 2015. HCI, Civic Engagement & Trust. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 2833--2842. DOI: http://dx.doi.org/10.1145/2702123.2702255Google ScholarDigital Library
- G. Hoffman and G. Weinberg. 2010. Gesture-based human-robot Jazz improvisation. In 2010 IEEE International Conference on Robotics and Automation. 582--587. DOI: http://dx.doi.org/10.1109/ROBOT.2010.5509182Google ScholarCross Ref
- Noura Howell, Greg Niemeyer, and Kimiko Ryokai. 2019. Life-Affirming Biosensing in Public: Sounding Heartbeats on a Red Bench. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, NY, NY, USA, Article Paper 680, 16 pages. DOI: http://dx.doi.org/10.1145/3290605.3300910Google ScholarDigital Library
- Xun Huang and Serge Belongie. 2017. Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization. In Proceedings of the IEEE International Conference on Computer Vision. 1510--1519.Google ScholarCross Ref
- Pegah Karimi, Kazjon Grace, Mary Lou Maher, and Nicholas Davis. 2018. Evaluating creativity in computational co-creative systems. arXiv preprint arXiv:1807.09886 (2018).Google Scholar
- Charles Landry. 2012. The creative city: A toolkit for urban innovators. Routledge.Google Scholar
- Charles Landry and Franco Bianchini. 1995. The creative city (Vol. 12). Demos 13 (1995).Google Scholar
- Pedro Lucas and Carlos Martinho. 2017. Stay Awhile and Listen to 3Buddy, a Co-creative Level Design Support Tool.. In ICCC. 205--212.Google Scholar
- Jennifer Manuel, Geoff Vigar, Tom Bartindale, and Rob Comber. 2017. Participatory Media: Creating Spaces for Storytelling in Neighbourhood Planning. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 1688--1701.Google ScholarDigital Library
- Cameron McAuliffe. 2012. Graffiti or street art? Negotiating the moral geographies of the creative city. Journal of urban affairs 34, 2 (2012), 189--206.Google ScholarCross Ref
- Sangkeun Park, Emilia-Stefania Ilincai, Jeungmin Oh, Sujin Kwon, Rabeb Mizouni, and Uichin Lee. 2017. Facilitating Pervasive Community Policing on the Road with Mobile Roadwatch. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 3538--3550.Google ScholarDigital Library
- Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu. 2019. Semantic Image Synthesis with Spatially-Adaptive Normalization. In Conference on Computer Vision and Pattern Recognition.Google Scholar
- Betty Sargeant, Justin Dwyer, and Florian'Floyd' Mueller. 2018. The Storytelling Machine: A Playful Participatory Automated System Featuring Crowd-Sourced Story Content. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts. ACM, 285--294.Google ScholarDigital Library
- Rafael Schacter. 2014. The ugly truth: Street art, graffiti and the creative city. Art & the Public Sphere 3, 2 (2014), 161--176.Google ScholarCross Ref
- Ben Schouten, Gabriele Ferri, Michiel de Lange, and Karel Millenaar. 2017. Games as strong concepts for city-making. In Playable Cities. Springer, 23--45.Google Scholar
- TeamLab. 2016. Graffiti Nature - Mountains and Valleys. https://www.teamlab.art/w/valleys/. (2016). Accessed Jan 03, 2020.Google Scholar
- Maurizio Teli, Silvia Bordin, María Menéndez Blanco, Giusi Orabona, and Antonella De Angeli. 2015. Public design of digital commons in urban places: A case study. International Journal of Human-Computer Studies 81 (2015), 17--30.Google ScholarDigital Library
- Lidia Varbanova. 2007. Our creative cities online. The Creative City: Crossing Visions and New Realities in the Region (2007), 9.Google Scholar
- Wei Wang, Yuan Sun, and Saman Halgamuge. 2019. Improving MMD-GAN Training with Repulsive Loss Function. In International Conference on Learning Representations.Google Scholar
- Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy. 2018. ESRGAN: Enhanced super-resolution generative adversarial networks. In The European Conference on Computer Vision Workshops (ECCVW).Google Scholar
- Wikipedia. 2019a. Creative city. https://en.wikipedia.org/wiki/Creative_city. (2019). Accessed Dec 29, 2019.Google Scholar
- Wikipedia. 2019b. Street art in Melbourne. https://en.wikipedia.org/wiki/Street_art_in_ Melbourne#Public_and_government_responses. (2019). Accessed Dec 29, 2019.Google Scholar
- Sharon Zukin. 1995. The cultures of cities. Blackwell Oxford.Google Scholar
- Sharon Zukin and Laura Braslow. 2011. The life cycle of New York's creative districts: Reflections on the unanticipated consequences of unplanned cultural zones. City, Culture and Society 2, 3 (2011), 131--140.Google ScholarCross Ref
Index Terms
- Empowering a Creative City: Engage Citizens in Creating Street Art through Human-AI Collaboration
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