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<title>ABIS Workshops</title>
<link href="http://dl.gi.de/handle/20.500.12116/4995" rel="alternate"/>
<subtitle/>
<id>http://dl.gi.de/handle/20.500.12116/4995</id>
<updated>2026-07-21T14:19:29Z</updated>
<dc:date>2026-07-21T14:19:29Z</dc:date>
<entry>
<title>Adaptive Workplace Learning Assistance</title>
<link href="http://dl.gi.de/handle/20.500.12116/32334" rel="alternate"/>
<author>
<name>Kravčík, Miloš</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/32334</id>
<updated>2020-04-27T09:35:44Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Adaptive Workplace Learning Assistance
Kravčík, Miloš
Augstein, Mirjam; Herder, Eelco; Wörndl, Wolfgang; Yigitbas, Enes
Workplace learning has been a part of our lives for a long time already. However, new technological opportunities can radically change not only formal, but also informal (unintentional) learning, which is typical for the workplace. Nowadays companies face a new challenge: the transition towards Industry 4.0. In this regard, information technology should support the whole spectrum of educational methodologies, including personalized guidance, collaborative learning, training of practical skills, as well as meta-cognitive scaffolding.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Explanations and User Control in Recommender Systems</title>
<link href="http://dl.gi.de/handle/20.500.12116/32333" rel="alternate"/>
<author>
<name>Jannach, Dietmar</name>
</author>
<author>
<name>Jugovac, Michael</name>
</author>
<author>
<name>Nunes, Ingrid</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/32333</id>
<updated>2020-04-27T09:35:44Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Explanations and User Control in Recommender Systems
Jannach, Dietmar; Jugovac, Michael; Nunes, Ingrid
Augstein, Mirjam; Herder, Eelco; Wörndl, Wolfgang; Yigitbas, Enes
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Personalizing the User Interface for People with Disabilities</title>
<link href="http://dl.gi.de/handle/20.500.12116/32332" rel="alternate"/>
<author>
<name>Abascal, Julio</name>
</author>
<author>
<name>Gardeazabal, Xabier</name>
</author>
<author>
<name>Pérez, Juan Eduardo</name>
</author>
<author>
<name>Valencia, Xabier</name>
</author>
<author>
<name>Arbelaitz, Olatz</name>
</author>
<author>
<name>Muguerza, Javier</name>
</author>
<author>
<name>Yera, Ainhoa</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/32332</id>
<updated>2020-04-27T09:35:44Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Personalizing the User Interface for People with Disabilities
Abascal, Julio; Gardeazabal, Xabier; Pérez, Juan Eduardo; Valencia, Xabier; Arbelaitz, Olatz; Muguerza, Javier; Yera, Ainhoa
Augstein, Mirjam; Herder, Eelco; Wörndl, Wolfgang; Yigitbas, Enes
Computer applications provide people with disabilities with unique opportunities for interpersonal communication, social interaction and active participation. However, rigid user interfaces often present accessibility barriers to people with physical, sensory or cognitive impairments. User interface personalization is crucial to overcome these barriers, enabling computer access to a considerable section of the population with disabilities. Adapting the user interface to people with disabilities requires taking into consideration their physical, sensory or cognitive abilities and restrictions and hence providing alternative access procedures according to their capacities. In the chapter 15, "Personalizing the User Interface for People with Disabilities" [1], we present methods and techniques that are being applied to research and practice on user interface personalization for people with disabilities. In addition, we discuss possible approaches for diverse application fields where personalization is required: accessibility to the web using transcoding, web mining for eGovernment, and human-robot interaction for people with severe motor restrictions.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception</title>
<link href="http://dl.gi.de/handle/20.500.12116/32329" rel="alternate"/>
<author>
<name>Atzmueller, Martin</name>
</author>
<author>
<name>Güven, Cicek</name>
</author>
<author>
<name>Masiala, Spyroula</name>
</author>
<author>
<name>Mackenbach, Rick</name>
</author>
<author>
<name>Shayan, Parisa</name>
</author>
<author>
<name>Liebregts, Werner</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/32329</id>
<updated>2020-04-27T09:35:43Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception
Atzmueller, Martin; Güven, Cicek; Masiala, Spyroula; Mackenbach, Rick; Shayan, Parisa; Liebregts, Werner
Augstein, Mirjam; Herder, Eelco; Wörndl, Wolfgang; Yigitbas, Enes
This paper investigates socio-spatial interaction networks for user modeling: We analyze preferences and perceptions of socio-proximity human interactions in relation to the observed interactions. The analysis is performed on a real-world dataset capturing interaction networks using wearable sensors coupled with self-report questionnaires about preferences and perception of those interactions.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
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