Hochschule für Angewandte Psychologie FHNW

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Gerade angezeigt 1 - 10 von 194
  • Kein Vorschaubild vorhanden
    Publikation
    Mehrdimensionale Skala zur Messung von Dankbarkeit (MCGM-G)
    (ZIS, 2021) Hudecek, Matthias; Blabst, Nicole; Morgen, Blaire; Lermer, Eva
    Die hier dokumentierte mehrdimensionale Skala zur Messung von Dankbarkeit (MCGM-G) ist die deutschsprachige Version des Multi-Component Gratitude Measure (MCGM). Der MCGM wurde als ein ganzheitlicher Ansatz zur Messung von Dankbarkeit von Morgan et al. (2017) entwickelt und umfasst emotionale, einstellungsbezogene und verhaltensbezogene Komponenten von Dankbarkeit. Die Validierung erfolgte mittels einer Online-Umfrage und umfasste die Daten von 508 Versuchspersonen. Der MCGM-G verfügt über eine gute interne Konsistenz und sowohl die Konstrukt- als auch die Kriteriumsvalidität konnten nachgewiesen werden. Darüber hinaus besteht partielle skalare Messinvarianz (d.h. kulturelle Invarianz) mit der englischsprachigen Version für fünf der sechs Faktoren. Zudem liegt vollständige Messinvarianz hinsichtlich des Geschlechts der TeilnehmerInnen für alle Dimensionen des MCGM-G vor.
    05 - Forschungs- oder Arbeitsbericht
  • Kein Vorschaubild vorhanden
    Publikation
    Eating green. Consumers’ willingness to adopt ecological food consumption behaviors
    (Elsevier, 12/2011) Tobler, Christina; Visschers, Vivianne; Siegrist, Michael
    Food consumption is associated with various environmental impacts, and consumers’ food choices therefore represent important environmental decisions. In a large-scale survey, we examined consumers’ beliefs about ecological food consumption and their willingness to adopt such behaviors. Additionally, we investigated in more detail how different motives and food-related attitudes influenced consumers’ willingness to reduce meat consumption and to buy seasonal fruits and vegetables. We found consumers believed avoiding excessive packaging had the strongest impact on the environment, whereas they rated purchasing organic food and reducing meat consumption as least environmentally beneficial. Similarly, respondents appeared to be most unwilling to reduce meat consumption and purchase organic food. Taste and environmental motives influenced consumers’ willingness to eat seasonal fruits and vegetables, whereas preparedness to reduce meat consumption was influenced by health and ethical motives. Women and respondents who preferred natural foods were more willing to adopt ecological food consumption patterns.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Kein Vorschaubild vorhanden
    Publikation
    Unsicherheit. Globale Herausforderungen psychologisch verstehen und bewältigen
    (Reinhardt, 2022) Lermer, Eva; Hudecek, Matthias
    Ob Covid-19-Pandemie, Fake Stories oder politische Erdbeben: Der Umgang mit Unsicherheit ist eine wesentliche Herausforderung im menschlichen Alltag. Obwohl viele beunruhigende Ereignisse der Vergangenheit (z. B. Sonnenfinsternis)erklärt werden konnten, verharren wir bei neuen Unsicherheitslagen in unseren alten Denk- und Verhaltensmustern. Diese sind geprägt durch Phänomene wie verzerrte Wahrnehmung oder (Selbst-)Überschätzung. Dieses Buch leistet einen Beitrag zum kompetenten Umgang mit Unsicherheit. Mithilfe von psychologischem Wissen werden Denkprozesse und Interaktionen besser verständlich gemacht, um künftig reflektierter (re-)agieren zu können. Das Buch ist ein Plädoyer für eine neue Aufklärung mit einem Appell an die individuelle Verantwortlichkeit, sich seines Verstandes zu bedienen.
    02 - Monographie
  • Kein Vorschaubild vorhanden
    Publikation
    Consumers’ knowledge about climate change
    (Springer, 11.01.2012) Tobler, Christina; Visschers, Vivianne; Siegrist, Michael
    Several studies have unveiled various misconceptions about climate change that the public holds, for instance, confusion about climate change and ozone depletion. However, so far, there has been no uniform and standardized way to measure climate-related knowledge, which complicates comparisons between different countries or samples. To develop an extensive knowledge scale, we therefore examined the Swiss public’s understanding of climate change in a mail survey and related this scale to attitudes toward climate change. We thereby aimed to consider a broad range of climate-related knowledge, namely physical knowledge about CO2 and the greenhouse effect, knowledge about climate change and its causes, knowledge about the expected consequences of climate change, and action-related knowledge. The questionnaire included items of different degrees of difficulty, ranging from knowledge that is covered by newspapers to experts’ knowledge. Our findings indicate that people still hold several misconceptions, although people’s knowledge related to CO2 seems to have increased compared to previous studies. Of all knowledge subscales, knowledge about climate change and causes was most strongly related to attitudes toward climate change.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Kein Vorschaubild vorhanden
    Publikation
    12 - Patent
  • Kein Vorschaubild vorhanden
    Publikation
    Aggressives Verhalten von Kindern und Interventionen auf der elterlichen Paarebene
    (Vandenhoeck & Ruprecht, 2015) Lux, Ulrike; Hudecek, Matthias
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Kein Vorschaubild vorhanden
    Publikation
    Kommunikation in Zeiten gesellschaftlicher Spaltung
    (Dr. Otto Schmidt, 2020) Hudecek, Matthias; Fischer, Peter
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Kein Vorschaubild vorhanden
    Publikation
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Addressing climate change: Determinants of consumers' willingness to act and to support policy measures
    (Elsevier, 09/2012) Tobler, Christina; Visschers, Vivianne; Siegrist, Michael
    Consumers influence climate change through their consumption patterns and their support or dismissal of climate mitigation policy measures. Both climate-friendly actions and policy support comprise a broad range of options, which vary in manifold ways and, therefore, might be influenced by different factors. The aims of the study were, therefore, two-fold: first, we intended to find a meaningful way to classify different ways of addressing climate change. Second, we aimed to examine which determinants influence people's willingness to engage in these behaviors. We conducted a large-scale mail survey in Switzerland in which respondents rated, among other items, their willingness to act or support a range of possible actions and mitigations measures. A principal component analysis indicated that a distinction in terms of a behavior's directness as well as a differentiation according to perceived costs seem to be appropriate to classify climate-friendly actions. Multiple regression analyses showed that perceived costs and perceived climate benefit turned out to be the strongest predictors for willingness to act or to support climate policy measures. The strong influence of perceived climate benefit might reflect a strategy of reducing cognitive dissonance. As high-cost behaviors are more difficult to adopt, consumers may reduce dissonance by dismissing high-cost behaviors as not effective in terms of climate mitigation. Political affiliation proved to be another strong determinant of willingness to act or support. Participants on the right wing were less willing to show indirect climate-friendly behaviors, change their mobility behaviors, and to support any type of climate mitigation policy measures. Climate-friendly low-cost behaviors, however, were not influenced by political affiliation.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Kein Vorschaubild vorhanden
    Publikation
    Insights on the current state and future outlook of AI in health care: expert interview study
    (JMIR Publications, 2023) Hummelsberger, Pia; Koch, Timo K.; Rauh, Sabrina; Dorn, Julia; Lermer, Eva; Raue, Martina; Hudecek, Matthias; Schicho, Andreas; Colak, Errol; Ghassemi, Marzyeh; Gaube, Susanne
    Background Artificial intelligence (AI) is often promoted as a potential solution for many challenges health care systems face worldwide. However, its implementation in clinical practice lags behind its technological development. Objective This study aims to gain insights into the current state and prospects of AI technology from the stakeholders most directly involved in its adoption in the health care sector whose perspectives have received limited attention in research to date. Methods For this purpose, the perspectives of AI researchers and health care IT professionals in North America and Western Europe were collected and compared for profession-specific and regional differences. In this preregistered, mixed methods, cross-sectional study, 23 experts were interviewed using a semistructured guide. Data from the interviews were analyzed using deductive and inductive qualitative methods for the thematic analysis along with topic modeling to identify latent topics. Results Through our thematic analysis, four major categories emerged: (1) the current state of AI systems in health care, (2) the criteria and requirements for implementing AI systems in health care, (3) the challenges in implementing AI systems in health care, and (4) the prospects of the technology. Experts discussed the capabilities and limitations of current AI systems in health care in addition to their prevalence and regional differences. Several criteria and requirements deemed necessary for the successful implementation of AI systems were identified, including the technology’s performance and security, smooth system integration and human-AI interaction, costs, stakeholder involvement, and employee training. However, regulatory, logistical, and technical issues were identified as the most critical barriers to an effective technology implementation process. In the future, our experts predicted both various threats and many opportunities related to AI technology in the health care sector. Conclusions Our work provides new insights into the current state, criteria, challenges, and outlook for implementing AI technology in health care from the perspective of AI researchers and IT professionals in North America and Western Europe. For the full potential of AI-enabled technologies to be exploited and for them to contribute to solving current health care challenges, critical implementation criteria must be met, and all groups involved in the process must work together.
    01A - Beitrag in wissenschaftlicher Zeitschrift