Logo des Repositoriums

Auflistung nach Schlagwort "recommendations"

1 - 4 von 4
  • Zeitschriftenartikel
    A design and evaluation framework for digital health interventions
    (it - Information Technology: Vol. 61, No. 5-6, 2019) Kowatsch, Tobias; Otto, Lena; Harperink, Samira; Cotti, Amanda; Schlieter, Hannes
    Digital health interventions (DHIs) have the potential to help the growing number of chronic disease patients better manage their everyday lives. However, guidelines for the systematic development of DHIs are still scarce. The current work has, therefore, the objective to propose a framework for the design and evaluation of DHIs (DEDHI). The DEDHI framework is meant to support both researchers and practitioners alike from early conceptual DHI models to large-scale implementations of DHIs in the healthcare market.
  • Zeitschriftenartikel
    Semantic Desktop for the End-UserSemantic Desktop für Anwender
    (i-com: Vol. 8, No. 3, 2009) Grimnes, Gunnar Aastrand; Adrian, Benjamin; Schwarz, Sven; Maus, Heiko; Schumacher, Kinga; Sauermann, Leo
    This article describes the Semantic Desktop. We give insights into the core services that aim to improve personal knowledge management on the desktop. We describe these core components of our Semantic Desktop system and give evaluation results. Results of a long-term study reveal effects of using the Semantic Desktop on personal knowledge work.
  • Konferenzbeitrag
    A Summary of ReVision: History-based Model Repair Recommendations
    (Software Engineering 2023, 2023) Ohrndorf, Manuel; Pietsch, Christopher; Kelter, Udo; Grunske, Lars; Kehrer, Timo
    This work reports recent research results on history-based model repair recommendations in Model-Driven Engineering (MDE), originally published in Reference [Oh21]. Models in MDE are primary development artifacts that are heavily edited in all software development stages and can become temporarily inconsistent during editing. Model repair tools can support developers by proposing a list of the most promising repairs. Such repair recommendations will only be accepted in practice if the generated proposals are plausible and understandable and the set as a whole is manageable. Our interactive repair tool ReVision [Oh18], aims at generating repair proposals for inconsistencies introduced by past incomplete edit steps. Such an incomplete edit step is either undone or extended to the full execution of a consistency-preserving edit operation. We evaluate our approach using histories of real-world models from popular open-source modeling projects. Our experimental results confirm our hypothesis that most of the inconsistencies can be resolved by complementing incomplete edits. In fact, 92.2% of the proposed complementations could be observed in the model history.
  • Konferenzbeitrag
    Tracing Covid-19 -- Older Adults' Attitudes Toward Digital Contact Tracing and How to Increase Their Participation
    (Mensch und Computer 2021 - Tagungsband, 2021) Wagner, Philipp; Winkler, Anna; Paraschivoiu, Irina; Meschtscherjakov, Alexander; Gärtner, Magdalena; Tscheligi, Manfred
    The COVID-19 pandemic poses major challenges for health care systems. Contact tracing apps are being used around the world to help track and break the chain of infection. We conducted a qualitative study with eight older adults (65+) to find out how their lives have been affected by the pandemic. One of the topics covered was the “Stopp Corona” app, a contact tracing app by the national Red Cross and participants’ attitude towards it. Despite the fact that most participants did not use the app, they expressed little concerns about the misuse of data as they have high trust in the Red Cross and the national government. Highlighting the societal benefit of contact tracing seems to be a major factor for uptake. Based on our results in comparison with recent studies on digital contact tracing, we suggest four recommendations that may support adoption of contact tracing apps by older adults.