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Participative leadership and workgroup commitment as multilevel resources for employee well-being: A cross-level examination.
No full textPaper VI - Correlation Length Bounds from Geometric Separation and Finite-Range Amplitude Control on Infinite Bounded-Degree Graphs
No full textApplied Cognitive Psychology - Master's Thesis
No full textSlávka Černická - Applied Cognitive Psychology Master's Thesis :
Ambiguity Tolerance, Semantic Distance and Aesthetic Appreciation: How Individual Differences Guide Appreciation of Art
Oxford OPM-MEG Example Data 2026
No full textOpenly sharable data collected from the Oxford OPM-MEG Lab at OHB
Paper VII - Spectral Decoupling and Resolvent Decay for Finite-Range Operators on Disconnected Metric Spaces
No full textKaup Thesis 2026
No full textHow Views of Marriage Shape Relationship Interdependence: Evidence from the United States and the Netherland
Receipt of care among older parents in China: More children, more child caregivers?
No full textAdult children are expected to care for their parents in China, but what are the opportunities to do so when family sizes decrease? Guided by the intergenerational solidarity theory, we hypothesize that older Chinese parents who have more children have more child caregivers. Parents’ place of residence (rural versus urban) is expected to influence this relationship. Older parents who have more daughters and more near or resident children are likely to have more child caregivers. Those who have at least one near or resident daughter-in-law are expected to have fewer child caregivers. Data are from the 2018 China Health and Retirement Longitudinal Study (aged 65-102, mean age 76; 806 widowed and 909 married respondents). We conducted negative binominal regression analyses stratified by marital status
SCEIMA: Social Coordination Evaluation through Integrated Model Analysis
No full textComputational models are increasingly used as interactive partners in studies of human coordination, yet it remains unclear whether observed differences in human behavior reflect properties of the models themselves, changes in human behavior elicited by such artificial partners, or both. We introduce SCEIMA (Social Coordination Evaluation through Integrated Model Analysis), a two-stage framework designed to disentangle human-specific, model-specific, and interaction-driven contributions to coordination in human–machine interaction paradigms. In the empirical stage, human participants perform a coordination task with both human partners and computational models, establishing reference human–human and human–model interaction patterns. In the analytical stage, the same models are paired with one another and optimized through simulations to reproduce empirical coordination metrics. Comparing human–human, human–model, and simulated model–model interactions reveals whether coordination differences arise from intrinsic model dynamics, from human adaptation to artificial partners, or from their interaction. SCEIMA treats computational models as contrastive instruments whose capacity to elicit and reproduce human behavior can be systematically evaluated. We illustrate the framework with two distinct case-studies, a sensorimotor synchronization task and a conversational turn-taking task, showing how distinct outcome patterns diagnose the sources of coordination differences. By providing a principled methodological framework for evaluating interactive computational models, SCEIMA improves interpretability in human–machine interaction research and informs the design of artificial agents that coordinate with humans more naturally and responsively