Embracing First-Person Perspectives in Soma-Based Design

Autor: Kristina Höök, Baptiste Caramiaux, Cumhur Erkut, Jodi Forlizzi, Nassrin Hajinejad, Michael Haller, Caroline C. M. Hummels, Katherine Isbister, Martin Jonsson, George Khut, Lian Loke, Danielle Lottridge, Patrizia Marti, Edward Melcer, Florian Floyd Müller, Marianne Graves Petersen, Thecla Schiphorst, Elena Márquez Segura, Anna Ståhl, Dag Svanæs, Jakob Tholander, Helena Tobiasson

Publikováno v: Informatics, Vol 5, Iss 1, p 8 (2018)

A set of prominent designers embarked on a research journey to explore aesthetics in movement-based design. Here we unpack one of the design sensitivities unique to our practice: a strong first person perspective—where the movements, somatics and a

Externí odkaz: https://doaj.org/article/124f6634c00f4f32936546ea98a0c692

High school students exploring machine learning and its societal implications:Opportunities and challenges

Autor: Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Maarten Van Mechelen, Arthur Hjort, Niels Olof Bouvin, Marianne Graves Petersen

Publikováno v: Kaspersen, M H, Bilstrup, K E K, Van Mechelen, M, Hjort, A, Bouvin, N O & Petersen, M G 2022, ' High school students exploring machine learning and its societal implications : Opportunities and challenges ', International Journal of Child-Computer Interaction, vol. 34, 100539 . https://doi.org/10.1016/j.ijcci.2022.100539

The increased use of AI and machine learning (ML) calls for a general AI literacy, in particular regarding understanding how ML works, the process behind creating ML models, and reflecting on its implications. Where existing learning tools focus on t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::434f9d38843c1d1faa3fea7cf90ee072
https://pure.au.dk/portal/da/publications/high-school-students-exploring-machine-learning-and-its-societal-implications(5be8b30a-a420-4229-9bcc-d0832d8b0548).html

The Best of Both Worlds: Designing a Tiered Hybrid Interface for Teaching Machine Learning in K-9 Education

Autor: Karl-Emil Kjær Bilstrup, Magnus HøHolt Kaspersen, Matilde Fjeldsø Larsen, Niels Olof Bouvin, Marianne Graves Petersen

Publikováno v: Bilstrup, K-E K, Kaspersen, M H, Larsen, M F, Bouvin, N O & Petersen, M G 2022, The Best of Both Worlds : Designing a Tiered Hybrid Interface for Teaching Machine Learning in K-9 Education . in Participative Computing for Sustainable Futures : Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI’22) ., 51, 12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022, Aarhus, Denmark, 08/10/2022 . https://doi.org/10.1145/3546155.3546156

We designed Machine Learning Machine 2.0, a tiered hybrid interface allowing learners to create simple machine learning (ML) models using a tangible user interface and further inspect and tinker with them using a graphical user interface. This design

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::096603e8897e807ce0161bc82f61317b
https://doi.org/10.1145/3546155.3546156

ProjectAR: Rapid Prototyping of Projection Mapping with Mobile Augmented Reality

Autor: Mille Skovhus Lunding, Germán Leiva, Jens Emil Grønbæk, Marianne Graves Petersen

Publikováno v: Lunding, M S, Leiva, G, Grønbæk, J E & Petersen, M G 2022, ' ProjectAR: Rapid Prototyping of Projection Mapping with Mobile Augmented Reality ', Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference, 03/10/2022-06/10/2022 . https://doi.org/10.1145/3547522.3547679
Aarhus University

Spatial Augmented Reality (AR) in the form of Projection Mapping is an interesting technology for several scenarios. However, there is a lack of rapid prototyping tools for Projection Mapping. We introduce ProjectAR, a rapid prototyping tool that com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57732d6ff9d8a2eb4519a2ddcf39150d
https://pure.au.dk/portal/da/publications/projectar-rapid-prototyping-of-projection-mapping-with-mobile-augmented-reality(16b7f4af-7dd6-4cb6-9489-bee35ae355ce).html

From Demo to Design in Teaching Machine Learning

Autor: Karl-Emi Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Enni, Marianne Graves Petersen

Publikováno v: Bilstrup, K E K, Kaspersen, M H, Assent, I, Enni, S & Petersen, M G 2022, From Demo to Design in Teaching Machine Learning . in Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 . Association for Computing Machinery, ACM International Conference Proceeding Series, pp. 2168-2178, 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022, Virtual, Online, Korea, Republic of, 21/06/2022 . https://doi.org/10.1145/3531146.3534634

The prevalence of artificial intelligence (AI) and machine learning (ML) technologies in digital ecosystems has led to a push for AI literacy, giving everybody, including K-12 students, the necessary knowledge and abilities to engage critically with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::396f2283be93e4e5444ca6f0fe42c9d0
https://pure.au.dk/portal/da/publications/from-demo-to-design-in-teaching-machine-learning(5c37065f-b167-4e11-a5ba-a729cfa82b19).html