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The UX of Interactive Machine Learning
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- Ghajargar, Maliheh, 1980- (author)
- Malmö universitet,Internet of Things and People (IOTAP),Institutionen för konst, kultur och kommunikation (K3)
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- Persson, Jan A. (author)
- Malmö universitet,Internet of Things and People (IOTAP),Institutionen för datavetenskap och medieteknik (DVMT)
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- Bardzell, Jeffrey (author)
- Pennsylvania State University
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- (creator_code:org_t)
- 2020-10-26
- 2020
- English.
- In: NordiCHI 2020, 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. - New York, USA : Association for Computing Machinery (ACM).
- Conference paper (peer-reviewed)
Abstract
Subject headings
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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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- HUMANIORA -- Konst -- Design (hsv//swe)
- HUMANITIES -- Arts -- Design (hsv//eng)
Keyword
- UX
- User Experience
- Machine Learning
- Artificial Intelligence
- Interaction Design
- Interaktionsdesign
- Interaktionsdesign
Publication and Content Type
- ref (subject category)
- kon (subject category)
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