Auflistung nach Schlagwort "Prevention"
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- KonferenzbeitragOvercoming the prevention dilemma ? Improving the accessibility of information on support services for families with a digital information platform(Proceedings of Mensch und Computer 2024, 2024) Hemmie, Thilo; Wessel, Daniel; Heine, MoreenTo help ensure children do not suffer when parents are overwhelmed, many countries, including Germany, offer child protective services and family support programs. In Germany, family centers on district-level provide preventative support services. However, the families most in need of their services often face the greatest barriers to accessing these, a situation known as the “prevention dilemma.” A human-centered design process was undertaken, involving family centers and target audiences, to identify and address these barriers. The resulting native app aims to improve accessibility to support services by providing essential information. The evaluation shows the app has a high usability, was well-received by the target audience, and has the potential to mitigate some of the access barriers. This study highlights the importance of accessible support measures for vulnerable families, contributing to improved child welfare.
- ZeitschriftenartikelPersonality Profiles that Put Users at Risk of Perceiving Technostress(Business & Information Systems Engineering: Vol. 63, No. 4, 2021) Pflügner, Katharina; Maier, Christian; Mattke, Jens; Weitzel, TimSome information systems research has considered that individual personality traits influence whether users feel stressed by information and communication technologies. Personality research suggests, however, that personality traits do not act individually, but interact interdependently to constitute a personality profile that guides individual perceptions and behavior. The study relies on the differential exposure-reactivity model to investigate which personality profiles of the Big Five personality traits predispose users to perceive techno-stressors. Using a questionnaire, data was collected from 221 users working in different organizations. That data was analyzed using fuzzy set Qualitative Comparative Analysis. Based on the results, six different personality profiles that predispose to perceive high techno-stressors are identified. By investigating personality traits in terms of profiles, it is shown that a high and a low level of a personality trait can influence the perception of techno-stressors. The results will allow users and practitioners to identify individuals who are at risk of perceiving techno-stressors based on their personality profile. The post-survey analysis offers starting points for the prevention of perceived techno-stressors and the related negative consequences for specific personality profiles.