@article{PechuelDuetthorn2017, author = {Pechuel, R. and D{\"u}tthorn, N.}, title = {Authentic Scenario-Based Learning through a Serious Game - Digital Simulation of Real Work Situations for the Education of Health Care Professions}, series = {J. Johnston (Ed.) Proceedings of EdMedia 2017, Washington, DC: Association for the Advancement of Computing in Education (AACE)}, journal = {J. Johnston (Ed.) Proceedings of EdMedia 2017, Washington, DC: Association for the Advancement of Computing in Education (AACE)}, issn = {978-1-9397}, pages = {211 -- 216}, year = {2017}, language = {en} } @article{ChikhradzeKnechtMetzing2017, author = {Chikhradze, Nino and Knecht, Christiane and Metzing, Sabine}, title = {Young carers: growing up with chronic illness in the family - a systematic review 2007-2017.}, series = {Journal of Compassionate Health Care}, volume = {4}, journal = {Journal of Compassionate Health Care}, number = {12}, doi = {10.1186/s40639-017-0041-3}, pages = {1 -- 16}, year = {2017}, language = {en} } @article{FalksonKnechtHellmersetal.2017, author = {Falkson, Sandra and Knecht, Christiane and Hellmers, Claudia and Metzing, Sabine}, title = {The perspective of families with a child who is ventilator-dependent at home. A literature review.}, series = {Journal of Pediatric Nursing}, volume = {36}, journal = {Journal of Pediatric Nursing}, number = {September/Oktober}, doi = {10.1016/j.pedn.2017.06.021}, pages = {213 -- 224}, year = {2017}, language = {en} } @article{RohsHellriegelPrescher2017, author = {Rohs, M. and Hellriegel, J. and Prescher, T.}, title = {Learning with digital media in a German vocational education and training system}, series = {Bulletin in Institute of Technology and Vocational Education (Nagoya University)}, journal = {Bulletin in Institute of Technology and Vocational Education (Nagoya University)}, number = {Nr. 16}, issn = {1348-4893}, pages = {71 -- 79}, year = {2017}, language = {en} } @article{SchmidtMartin2017, author = {Schmidt, Jennifer and Martin, Alexandra}, title = {„Smile away your cravings" - Facial feedback modulates cue-induced food cravings}, series = {Appetite}, volume = {116}, journal = {Appetite}, issn = {0195-6663}, pages = {536 -- 543}, year = {2017}, language = {en} } @article{SchmidtKaergelOpwis2017, author = {Schmidt, Jennifer and K{\"a}rgel, Christian and Opwis, Mareile}, title = {Neurofeedback for substance use and overeating - Current applications and future directions}, series = {Current Addiction Reports}, volume = {4}, journal = {Current Addiction Reports}, number = {2}, issn = {2196-2952}, pages = {116 -- 131}, year = {2017}, language = {en} } @article{OpwisSchmidtMartinetal.2017, author = {Opwis, Mareile and Schmidt, Jennifer and Martin, Alexandra and Salewski, Christel}, title = {Gender differences in eating behavior and eating pathology: The mediating role of rumination}, series = {Appetite}, volume = {110}, journal = {Appetite}, issn = {0195-6663}, pages = {103 -- 107}, year = {2017}, language = {en} } @article{TeipelHeineHeinetal.2017, author = {Teipel, Stefan and Heine, Christina and Hein, Albert and Kr{\"u}ger, Frank and Kutschke, Andreas and Kernebeck, Sven and Halek, Margareta and Bader, Sebastian and Kirste, Thomas}, title = {Multidimensional assessment of challenging behaviors in advanced stages of dementia in nursing homes—The insideDEM framework}, series = {Alzheimer's \& Dementia: Diagnosis, Assessment \& Disease Monitoring}, volume = {8}, journal = {Alzheimer's \& Dementia: Diagnosis, Assessment \& Disease Monitoring}, issn = {2352-8729}, doi = {10.25974/fhms-17330}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-173308}, pages = {36 -- 44}, year = {2017}, abstract = {IntroductionAssessment of challenging behaviors in dementia is important for intervention selection. Here, we describe the technical and experimental setup and the feasibility of long-term multidimensional behavior assessment of people with dementia living in nursing homes.MethodsWe conducted 4 weeks of multimodal sensor assessment together with real-time observation of 17 residents with moderate to very severe dementia in two nursing care units. Nursing staff received extensive training on device handling and measurement procedures. Behavior of a subsample of eight participants was further recorded by videotaping during 4 weeks during day hours. Sensors were mounted on the participants' wrist and ankle and measured motion, rotation, as well as surrounding loudness level, light level, and air pressure.ResultsParticipants were in moderate to severe stages of dementia. Almost 100\% of participants exhibited relevant levels of challenging behaviors. Automated quality control detected 155 potential issues. But only 11\% of the recordings have been influenced by noncompliance of the participants. Qualitative debriefing of staff members suggested that implementation of the technology and observation platform in the routine procedures of the nursing home units was feasible and identified a range of user- and hardware-related implementation and handling challenges.DiscussionOur results indicate that high-quality behavior data from real-world environments can be made available for the development of intelligent assistive systems and that the problem of noncompliance seems to be manageable. Currently, we train machine-learning algorithms to detect episodes of challenging behaviors in the recorded sensor data.}, language = {en} }