Universität Stuttgart

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    How does the COVID-19 pandemic affect the personal lives and care realities of people with a schizophrenia spectrum disorder? : a qualitative interview study
    (2023) Kaltenboeck, Alexander; Portela Millinger, Filipe; Stadtmann, Sarah; Schmid, Christine; Amering, Michaela; Vogl, Susanne; Fellinger, Matthäus
    Background:The COVID-19 pandemic constitutes one of the greatest recent public crises. This study explored its influence on the lives and care realities of people with a schizophrenia spectrum disorder (SSD). Methods: Between October 2020 and April 2021, semi-structured in-depth interviews were conducted with 30 volunteers with SSDs receiving inpatient or outpatient treatment in Vienna (Austria). Interviews were audio-recorded, transcribed verbatim and analysed thematically. Results: Three main themes were identified. First, ‘Pandemic life is deprived, lonely and surreal - though certain aspects can be perceived as positive’. Second, ‘Bio-psycho-social support systems were struck at their core by the pandemic and were left severely compromised’. Last, ‘There is a complex interplay between one’s prior experience of psychosis and the experience of the COVID-19 pandemic’. The pandemic situation affected interviewees in various ways. For many, it led to a drastic reduction in day-to-day and social activities and contributed to an atmosphere of strangeness and threat. Bio-psycho-social support providers frequently suspended their services and offered alternatives were not always helpful. Participants indicated that whilst having an SSD might render them vulnerable to the pandemic situation, prior experience with psychotic crises can also provide knowledge, skills and self-confidence which enable better coping. Some interviewees also perceived aspects of the pandemic situation as helpful for recovering from psychosis. Conclusion: Healthcare providers must acknowledge the perspectives and needs of people with SSDs in present and future public health crises to ensure proper clinical support.
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    Emotional reactions to climate change : a comparison across France, Germany, Norway, and the United Kingdom
    (2023) Böhm, Gisela; Pfister, Hans-Rüdiger; Doran, Rouven; Ogunbode, Charles A.; Poortinga, Wouter; Tvinnereim, Endre; Steentjes, Katharine; Mays, Claire; Bertoldo, Raquel; Sonnberger, Marco; Pidgeon, Nicholas
    We present a study of emotional reactions to climate change utilizing representative samples from France, Germany, Norway, and the United Kingdom (UK). Drawing on appraisal theories of emotion, we examine relations between appraisals, emotions, and behavioral intentions in the context of climate change. We compare the four countries concerning emotional differences and commonalities and relate our findings to pertinent models of cultural values. Five distinct emotions were measured: worry, hope, fear, outrage, and guilt. In addition, the survey asked respondents to appraise a set of climate-related statements, such as the causality of climate change, or the efficacy of mitigation efforts. Also, a set of climate-relevant actions, such as willingness to reduce energy consumption or support for climate policies, was assessed. Findings show that appraisals of human causation and moral concern were associated with worry and outrage, and appraisals of efficacy and technological solutions were associated with hope. Worry and outrage are associated with intentions to reduce one’s energy consumption, whereas hope and guilt are related to support for policies such as tax and price increases. A country comparison shows that French respondents score high on outrage and worry and tend to engage in individual behaviors to mitigate climate change, whereas Norwegian respondents score high on hope and show a tendency to support policies of cost increase. Generally, worry is the most and guilt the least intense emotion. Moral concerns and perceived collective efficacy of one’s country in addressing climate change are relatively strong in France, while beliefs in human causation and in negative impacts of climate change prevail in Germany, and confidence in technological solutions are prevalent in Norway. In sum, findings reveal typical patterns of emotional responses in the four countries and confirm systematic associations between emotions and appraisals as well as between emotions and behaviors. Relating these findings to models of cultural values reveals that Norway, endorsing secular and egalitarian values, is characterized by hope and confidence in technological solutions, whereas France and Germany, emphasizing relatively more hierarchical and traditional values, are rather characterized by fear, outrage, and support for behavioral restrictions imposed by climate change policies.
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    The effectiveness of cognitive behavioural therapy for social anxiety disorder in routine clinical practice
    (2022) Morina, Nexhmedin; Seidemann, Julienne; Andor, Tanja; Sondern, Lisa; Bürkner, Paul‐Christian; Drenckhan, Isabelle; Buhlmann, Ulrike
    Numerous randomized controlled trials have shown cognitive behaviour therapy (CBT) to be effective in treating social anxiety disorder (SAD). Yet, less is known about the effectiveness of CBT for SAD conducted by psychotherapists in training in routine clinical practice. In this study, 231 patients with SAD were treated with CBT under routine conditions and were examined at pre‐ and post‐treatment as well as at 6 and 12 months follow‐up. We applied self‐reports to assess symptoms of SAD (defined as primary outcome), depression and psychological distress (defined as secondary outcome). We conducted both completer and intent‐to‐treat analyses and also assessed the reliability of change with the reliable change index. Results revealed significant reductions in symptoms of SAD between pre‐ and post‐assessments, with effect sizes ranging from d = 0.9 to 1.2. Depending on the SAD specific questionnaire applied, 47.8% to 73.5% of the sample showed a reliable positive change, whereas 1.9% to 3.8% showed a reliable negative change. Depressive symptoms and psychological distress also decreased significantly from pre‐ to post‐assessment, with large effect sizes. Significant treatment gains regarding both primary and secondary outcomes were further observed at 6 and 12 months follow‐up. The current findings based on a large sample of patients suggest that psychotherapists in CBT training working under routine conditions can effectively treat symptoms of SAD, depression and psychological distress.
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    Willingness to pay for digital wellbeing features on social network sites : a study with Arab and European samples
    (2024) Alshakhsi, Sameha; Babiker, Areej; Sindermann, Cornelia; Al-Thani, Dena; Montag, Christian; Ali, Raian
    In recent years, concerns over the potential negative impacts of social network sites (SNS) on users’ digital wellbeing are on the rise. These concerns have sparked a growing demand for SNS to introduce changes to their business model and offer features that prioritize users’ wellbeing, even if it means introducing fees to users. Still, it is questionable whether such a new model is welcomed by users and commercially valid. In this paper, we investigate (i) people’s willingness to pay (WTP) for digital wellbeing services designed to foster more autonomy, control, and personal growth in users and (ii) the influence of sociodemographic variables, personality, and social networks use disorder (SNUD) on WTP. Data were collected through an online survey with participants from two distinct cultural contexts, the European and Arabic. The samples comprised 262 participants from Europe (Males: 57.63%) and 251 from Arab countries (Males: 60.56%). The participants ranged in age from 18 to 66 years (MEurope = 29.16, SD = 8.42; MArab = 31.24, SD = 8.23). The results revealed that a notable proportion of participants were willing to pay for digital wellbeing services (Europe: 24%; Arab: 30%). Females in the European sample demonstrated a higher WTP for “Mental Health Issues Minimization” compared to males. In the Arab sample, males showed a higher WTP for “Safeguarding Data Privacy” than females. Multiple regression analyses revealed that SNUD and the need for cognition emerged as significant and positive predictors of WTP in both the European and Arab samples. Differences in the relations of personality traits and sociodemographic variables on WTP in each sample were noted. These insights contribute to our understanding of the factors shaping individuals’ preferences and valuation related to digital wellbeing services on SNS and highlight the importance of considering sociodemographic variables and personal factors as well as cultural contexts when planning and introducing them.
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    Are you sure? : prediction revision in automated decision‐making
    (2020) Burkart, Nadia; Robert, Sebastian; Huber, Marco F.
    With the rapid improvements in machine learning and deep learning, decisions made by automated decision support systems (DSS) will increase. Besides the accuracy of predictions, their explainability becomes more important. The algorithms can construct complex mathematical prediction models. This causes insecurity to the predictions. The insecurity rises the need for equipping the algorithms with explanations. To examine how users trust automated DSS, an experiment was conducted. Our research aim is to examine how participants supported by an DSS revise their initial prediction by four varying approaches (treatments) in a between‐subject design study. The four treatments differ in the degree of explainability to understand the predictions of the system. First we used an interpretable regression model, second a Random Forest (considered to be a black box [BB]), third the BB with a local explanation and last the BB with a global explanation. We noticed that all participants improved their predictions after receiving an advice whether it was a complete BB or an BB with an explanation. The major finding was that interpretable models were not incorporated more in the decision process than BB models or BB models with explanations.
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    Workload-dependent hemispheric asymmetries during the emotion-cognition interaction : a close-to-naturalistic fNIRS study
    (2023) Lingelbach, Katharina; Gado, Sabrina; Wirzberger, Maria; Vukelić, Mathias
    Introduction: We investigated brain activation patterns of interacting emotional distractions and cognitive processes in a close-to-naturalistic functional near-infrared spectroscopy (fNIRS) study. Methods: Eighteen participants engaged in a monitoring-control task, mimicking common air traffic controller requirements. The scenario entailed experiencing both low and high workload, while concurrently being exposed to emotional speech distractions of positive, negative, and neutral valence. Results: Our investigation identified hemispheric asymmetries in prefrontal cortex (PFC) activity during the presentation of negative and positive emotional speech distractions at different workload levels. Thereby, in particular, activation in the left inferior frontal gyrus (IFG) and orbitofrontal cortex (OFC) seems to play a crucial role. Brain activation patterns revealed a cross-over interaction indicating workload-dependent left hemispheric inhibition processes during negative distractions and high workload. For positive emotional distractions under low workload, we observed left-hemispheric PFC recruitment potentially associated with speech-related processes. Furthermore, we found a workload-independent negativity bias for neutral distractions, showing brain activation patterns similar to those of negative distractions. Discussion: In conclusion, lateralized hemispheric processing, regulating emotional speech distractions and integrating emotional and cognitive processes, is influenced by workload levels and stimulus characteristics. These findings advance our understanding of the factors modulating hemispheric asymmetries during the processing and inhibition of emotional distractions, as well as the interplay between emotion and cognition. Moreover, they emphasize the significance of exploring emotion-cognition interactions in more naturalistic settings to gain a deeper understanding of their implications in real-world application scenarios (e.g., working and learning environments).
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    Should I stay or should I go? : the impact of social networks on the choice to play for a national team in football
    (2021) Seiberth, Klaus; Thiel, Ansgar
    In the course of their careers, elite athletes are faced with crucial decisions. This applies particularly to adolescent athletes who additionally have to cope with a variety of age-related developmental tasks. For young top football players with a migrant background, this can be even more challenging as they often attract the interest of national associations. From a network-theoretical perspective, it can be considered likely that the decision to join a top national association is not taken independently of the players’ networks. This article addresses the role of network actors within the players’ decision-making process. Our analysis is guided by constructivist network theory and based on a qualitative research approach that used guided expert interviews as its core research tool. Ten interviews with German-born youth internationals with a migrant background were conducted. The present analysis reveals several network actors such as family, coaches and players’ agents involved in the ‘national team question’. Evidently, most relevant networks of players with a migrant background are sports-related. These networks turned out to be highly functionalized and leave only limited room for manoeuvring. At the same time, the interviews reveal ‘structural holes’ within the players’ networks and indicate a considerable need for the optimization of talent counselling.
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    Cognitive mechanisms driving (contact-induced) language change : introduction to the special issue
    (2024) Percillier, Michael; Schauwecker, Yela
    This special issue focuses on the interaction of the disciplines of historical linguistics and psycholinguistics to obtain new insights into which cognitive factors are potentially relevant for language change. The contributions address questions related to the cognitive mechanisms at play, their evidence in historical data, who the agents of change may be, which experimental methods can be implemented to investigate language change, and how language change can be theoretically modeled in terms of cognitive mechanisms. In this introductory article, we first outline our aims by describing the call for papers and the workshop which laid the foundation for this special issue. We then provide a state of the art on the integration of research on cognitive mechanisms and language change before introducing the contributions and listing which of the central questions they address.
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    Body dysmorphic disorder and self-esteem : a meta-analysis
    (2021) Kuck, Nora; Cafitz, Lara; Bürkner, Paul-Christian; Hoppen, Laura; Wilhelm, Sabine; Buhlmann, Ulrike
    Body dysmorphic disorder (BDD) is associated with low self-esteem. The aim of this meta-analysis was to examine the strength of the cross-sectional relationship between BDD symptom severity and global self-esteem in individuals with BDD, mentally healthy controls, community or student samples, and cosmetic surgery patients. Moreover, the role of depressive symptom severity in this relationship and other moderating factors were investigated. A keyword-based literature search was performed to identify studies in which BDD symptoms and global self-esteem were assessed. Random effects meta-analysis of Fisher’s z-transformed correlations and partial correlations controlling for the influence of depressive symptom severity was conducted. In addition to meta-analysis of the observed effects, we corrected the individual correlations for variance restrictions to address varying ranges of BDD symptom severity across samples. Twenty-five studies with a total of 6278 participants were included. A moderately negative relationship between BDD symptom severity and global self-esteem was found (r = -.42, CI = [-.48, -.35] for uncorrected correlations, r = -.45, CI = [-.51, -.39] for artifact-corrected correlations). A meta-analysis of partial correlations revealed that depressive symptom severity could partly account for the aforementioned relationship (pr = -.20, CI = [-.25, -.15] for uncorrected partial correlations, pr = -.23, CI = [-.28, -.17] for artifact-corrected partial correlations). The sample type (e.g., individuals with BDD, mentally healthy controls, or community samples) and diagnosis of BDD appeared to moderate the relationship only before artifact correction of effect sizes, whereas all moderators were non-significant in the meta-analysis of artifact-corrected correlations. The findings demonstrate that low self-esteem is an important hallmark of BDD beyond the influence of depressive symptoms. It appears that negative evaluation in BDD is not limited to appearance but also extends to other domains of the self. Altogether, our findings emphasize the importance of addressing self-esteem and corresponding core beliefs in prevention and treatment of BDD.
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    Decoding mental effort in a quasi-realistic scenario : a feasibility study on multimodal data fusion and classification
    (2023) Gado, Sabrina; Lingelbach, Katharina; Wirzberger, Maria; Vukelić, Mathias
    Humans’ performance varies due to the mental resources that are available to successfully pursue a task. To monitor users’ current cognitive resources in naturalistic scenarios, it is essential to not only measure demands induced by the task itself but also consider situational and environmental influences. We conducted a multimodal study with 18 participants (nine female, M = 25.9 with SD = 3.8 years). In this study, we recorded respiratory, ocular, cardiac, and brain activity using functional near-infrared spectroscopy (fNIRS) while participants performed an adapted version of the warship commander task with concurrent emotional speech distraction. We tested the feasibility of decoding the experienced mental effort with a multimodal machine learning architecture. The architecture comprised feature engineering, model optimisation, and model selection to combine multimodal measurements in a cross-subject classification. Our approach reduces possible overfitting and reliably distinguishes two different levels of mental effort. These findings contribute to the prediction of different states of mental effort and pave the way toward generalised state monitoring across individuals in realistic applications.