Search: id:"swepub:oai:DiVA.org:mau-24079" >
The UX of Interacti...
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Ghajargar, Maliheh,1980-Malmö universitet,Internet of Things and People (IOTAP),Institutionen för konst, kultur och kommunikation (K3)
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The UX of Interactive Machine Learning
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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2020-10-26
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New York, USA :Association for Computing Machinery (ACM),2020
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:mau-24079
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https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-24079URI
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https://doi.org/10.1145/3419249.3421236DOI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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Machine Learning (ML) has been a prominent area of research within Artificial Intelligence (AI). ML uses mathematical models to recognize patterns in large and complex data sets to aid decision making in different application areas, such as image and speech recognition, consumer recommendations, fraud detection and more. ML systems typically go through a training period in which the system encounters and learns about the data; further, this training often requires some degree of human intervention. Interactive machine learning (IML) refers to ML applications that depend on continuous user interaction. From an HCI perspective, how humans interact with and experience ML models in training is the main focus of this workshop proposal. In this workshop we focus on the user experience (UX) of Interactive Machine Learning, a topic with implications not only for usability but also for the long-term success of the IML systems themselves.
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Added entries (persons, corporate bodies, meetings, titles ...)
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Persson, Jan A.Malmö universitet,Internet of Things and People (IOTAP),Institutionen för datavetenskap och medieteknik (DVMT)(Swepub:mau)ksjape
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Bardzell, JeffreyPennsylvania State University
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Holmberg, LarsMalmö universitet,Institutionen för datavetenskap och medieteknik (DVMT),Internet of Things and People (IOTAP)(Swepub:mau)k3lara
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Tegen, AgnesMalmö universitet,Institutionen för datavetenskap och medieteknik (DVMT),Internet of Things and People (IOTAP)(Swepub:mau)ah5946
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Malmö universitetInternet of Things and People (IOTAP)
(creator_code:org_t)
Related titles
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In:NordiCHI 2020, 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping SocietyNew York, USA : Association for Computing Machinery (ACM)
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