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Bob Kummerfeld
University of Sydney
Human–computer interactionPersonalizationComputer scienceMultimediaUser modeling
75Publications
16H-index
943Citations
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Publications 68
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As technology has become ubiquitous in learning contexts, there has been an explosion in the amount of learning data. This creates opportunities to draw on the decades of learner modelling research from Artificial Intelligence in Education and more recent research on Personal Informatics. We use these bodies of research to introduce a conceptual model for a Personal User Model for Life‐long, Life‐wide Learners (PUMLs). We use this to define a core set of system competency questions. A successful...
3 CitationsSource
#1Soojeong Yoo (USYD: University of Sydney)H-Index: 6
#2Jisu Jung (USYD: University of Sydney)H-Index: 1
Last. Judy Kay (USYD: University of Sydney)H-Index: 37
view all 5 authors...
Source
#1Judy KayH-Index: 37
#2Bob KummerfeldH-Index: 16
#1Judy KayH-Index: 37
#2Bob KummerfeldH-Index: 16
#1Amon Rapp (UNITO: University of Turin)H-Index: 12
#2Federica Cena (UNITO: University of Turin)H-Index: 14
Last. Rúben Gouveia (Madeira Interactive Technologies Institute)H-Index: 7
view all 9 authors...
Quantified Self (QS) field needs to start thinking of how situated needs may affect the use of self-tracking technologies. In this workshop we will focus on the idiosyncrasies of specific categories of users.
3 CitationsSource
#1Soojeong Yoo (USYD: University of Sydney)H-Index: 6
#2Tristan Heywood (USYD: University of Sydney)H-Index: 2
Last. Judy Kay (USYD: University of Sydney)H-Index: 37
view all 5 authors...
Virtual reality (VR) exergames have the potential to be a fun way to get exercise. People have different preferences and responses when it comes to both exercising an playing games, meaning that there are potential benefits from creating a user model for exergaming. This could support various forms of personalization, such as game recommenders, and personalization within a game. We define a VR exergame user model, VRex, that represents a user's exertion as well a their goals and preferences for ...
9 CitationsSource
#1Bob Kummerfeld (USYD: University of Sydney)H-Index: 16
#2Judy Kay (USYD: University of Sydney)H-Index: 37
The Internet-of-Things (IoT) consists of a large number of interconnected, low cost devices and the framework for managing them. While this provides the means for rich and ubiquitous personalized interaction, a key gap is the lack of support for user modeling to harness and manage personal data gathered from IoT. Our work fills this gap by creating the IoTum user modeling framework for Internet-of-Things applications. Our design goals were to make it easy for IoT application developers to use, t...
3 CitationsSource
Sep 12, 2016 in UbiComp (Ubiquitous Computing)
#1Amon Rapp (UNITO: University of Turin)H-Index: 12
#2Federica Cena (UNITO: University of Turin)H-Index: 14
Last. Rúben Gouveia (Madeira Interactive Technologies Institute)H-Index: 7
view all 10 authors...
Source
Sep 12, 2016 in UbiComp (Ubiquitous Computing)
#1Amon Rapp (UNITO: University of Turin)H-Index: 12
#2Federica Cena (UNITO: University of Turin)H-Index: 14
Last. Rúben Gouveia (Madeira Interactive Technologies Institute)H-Index: 7
view all 9 authors...
While the Quantified Self (QS) community is described in terms of "self-knowledge through numbers" people are increasingly demanding value and meaning. In this workshop we aim at refocusing the QS debate on the value of data for providing new services.
7 CitationsSource
#1Amon Rapp (UNITO: University of Turin)H-Index: 12
#2Federica Cena (UNITO: University of Turin)H-Index: 14
Last. E.A.W.H. van den Hoven (UTS: University of Technology, Sydney)H-Index: 1
view all 7 authors...
Quantified Self is rising new challenges for user modeling and personalization. In this workshop we aim at exploring the future of personalized services enabled by Quantified Self technologies
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