Abstract
Design usually relies on human ingenuity, but the past decade has seen the field’s toolbox expanding to Artificial Intelligence (AI) and its adjacent methods, making room for hybrid, algorithmic creations. This article aims to substantiate the concept of hybrid intelligence– that of natural and artificial intelligence—in the active co-creation of a visual identity, describing a case study of the Regional Center of Excellence for Robotic Technology (CRTA) which opened on 750 m2 in June 2021 within the University of Zagreb. The visual identity of the Center comprises three separately devised elements, each representative of the human-AI relationship and embedded in the institution’s logo. Firstly, the letter “C” (from the CRTA acronym) was created using a Gaussian Mixture Model (GMM) applied to (x, y) coordinates that the neurosurgical robot RONNA, CRTA’s flagship innovation, generated when hand-guided by a human operator. The second shape of the letter “C” was created by using the same (x, y) coordinates as inputs fed to a neural network whose goal was to output letters in a novel, AI-generated typography. A basic feedforward neural network with two hidden layers was chosen for the task. The final and third design element was a trajectory the robot RONNA makes when performing a brain biopsy. As CRTA embodies a state-of-the-art venue for robotics research, the hybrid intelligence approach was used to accentuate the importance of human-robot collaboration which is at the core of the newly opened Center, illustrating the potential of reciprocal and amicable relationship that humans could have with technology.
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Jerbić, B., Švaco, M., Chudy, D., Šekoranja, B., Šuligoj, F., Vidaković, J., Dlaka, D., Vitez, N., Župančić, I., Drobilo, L., Turković, M., Žgaljić, A., Kajtazi, M., Stiperski, I.: RONNA G4—Robotic Neuronavigation: A novel robotic navigation device for stereotactic neurosurgery. In: Handbook of Robotic and Image-Guided Surgery, 599–625 (2020). https://doi.org/10.1016/B978-0-12-814245-5.00035-9
Dlaka, D., et al.: Frameless stereotactic brain biopsy: a prospective study on robot-assisted brain biopsies performed on 32 patients by using the RONNA G4 system. Int. J. Medical Rob. Comput. Assist. Surg. 17(3), e2245 (2021). https://doi.org/10.1002/RCS.2245
Christie, S.: Is artificial intelligence set to become art’s next medium?. https://www.christies.com/features/a-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx (2018). Accessed 20 Jan 2022
Epstein, Z., Levine, S., Rand, D.G., Rahwan, I.: Who gets credit for AI-generated art?. IScience 23(9), 101515 (2020). https://doi.org/10.1016/J.ISCI.2020.101515
McCormack, J., Gifford, T., Hutchings, P.: Autonomy, Authenticity, Authorship and Intention in computer generated art. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11453 LNCS, 35–50 (2019). https://doi.org/10.1007/978-3-030-16667-0_3
Zokaites, B.: Roomba paintings: 2006. http://www.bobbyzokaites.com/roomba-paintings (2006). Accessed 20 Jan 2022
Aouf, R. S. for Dezeen.: Algorithm designs seven million different jars of Nutella. https://www.dezeen.com/2017/06/01/algorithm-seven-million-different-jars-nutella-packaging-design/ (2017). Accessed 20 Jan 2022
Benjamin Wilkins for Airbnb.: Sketching interfaces—generating code from low fidelity wireframes (2017). https://airbnb.design/sketching-interfaces/. Accessed 20 Jan 2022
Lexus Europe Newsroom (2018). https://newsroom.lexus.eu/driven-by-intuition-car-by-lexus-story-by-artificial-intelligence-camera-by-oscar-winning-director/. Accessed 20 Jan 2022
Sage, A., Agustsson, E., Timofte, R., Van Gool, L.: Logo synthesis and manipulation with clustered generative adversarial networks. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 5879–5888 (2017). https://doi.org/10.1109/CVPR.2018.00616
Jevbratt, L.: Interspecies collaboration—making art together with nonhuman animals. Presented at the Minding Animals Conference in Newcastle, Australia in July (2009). http://jevbratt.com/home_texts.html
Fischer, D.: Art Between Species: Two Case Studies of Animal’s Agency in Interspecies Art, pp. 67–92 (2020). Leiden University Centre for the Arts in Society. https://hdl.handle.net/1887/123086
Vidaković, J., Jerbić, B., Šekoranja, B., Švaco, M., Šuligoj, F.: Learning from demonstration based on a classification of task parameters and trajectory optimization. J. Intell. Rob. Syst. 99(2), 261–275 (2019). https://doi.org/10.1007/s10846-019-01101-2
Svozil, D., Kvasnička, V., Pospíchal, J.: Introduction to multi-layer feed-forward neural networks. Chemom. Intell. Lab. Syst. 39(1), 43–62 (1997). https://doi.org/10.1016/S0169-7439(97)00061-0
Hayou, S., Doucet, A., Rousseau, J.: On the impact of the activation function on deep neural networks training, pp. 2672–2680. PMLR (2019). https://proceedings.mlr.press/v97/hayou19a.html
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The authors would like to acknowledge the support of the European Union’s European Regional Development Fund which financed the project CRTA.
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Jerbić, B. et al. (2023). Hybrid Intelligence for Visual Identity Design: A Case Study. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-031-22216-0_44
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