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Corinna Peifer

3 papers in the library · 3 citations · publishing 2023-2026

Papers

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Open your eyes for others' worldviews: How mindfulness meditation at home shapes next-day perspective taking and employees' functioning.

Journal of Occupational Health Psychology April 1, 2026 Charlotte Hohnemann, Vera M Schweitzer, Fabienne Aust et al.

Can a brief meditation in the evening reshape our understanding of others at work during the next day, thereby enhancing the actor's performance and motivation? To address this question, we examine spillover effects of a brief meditation in the evening on next-day extra-role performance, in-role performance, and work engagement, considering perspective taking as explaining mechanism. Sixty-four...

Trajectories of mindfulness, flow experience, and stress during an online-based MBSR program: the moderating role of emotional exhaustion.

Frontiers in Psychology 2024 Charlotte Hohnemann, Florian Engel, Corinna Peifer et al. 3 citations

Despite numerous papers focusing on mindfulness at work, our knowledge about how flow experience and stress as indicators of optimal functioning and wellbeing at work evolve over time during the common mindfulness-based stress reduction (MBSR) program remains limited. Drawing from the transactional model of flow and stress, we argue that a build-up of mindfulness over the training duration not...

DOI: 10.3389/fpsyg.2024.1385372 (opens in new tab) Full text (opens in new tab) Change trajectories Emotional exhaustion Flow experience Mindfulness-based stress reduction +1

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data.

Computers in biology and medicine November 1, 2023 Muhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar et al.

Flow experience is a specific positive and affective state that occurs when humans are completely absorbed in an activity and forget everything else. This state can lead to high performance, well-being, and productivity at work. Few studies have been conducted to determine the human flow experience using physiological wearable sensor devices. Other studies rely on self-reported data. In this...

DOI: 10.1016/j.compbiomed.2023.107489 (opens in new tab) Full text (opens in new tab) Artificial neural network Deep learning Human flow experience Machine learning +4