Jennifer C. Lay
The Chinese University of Hong Kong
23 Papers
56 Citations
Jennifer C. Lay is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Solitude & Loneliness. The author has an hindex of 8, co-authored 19 publications. Previous affiliations of Jennifer C. Lay include University of Exeter & University of Calgary.
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Papers
Altruism and Prosocial Behavior
Jennifer C. Lay,Christiane A. Hoppmann +1 more
- 20 May 2015
TL;DR: In this paper, the authors examine motivators or antecedents of prosocial behavior, possible benefits or consequences for the helper, and how the underlying processes may differ across different phases of the adult lifespan.
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By myself and liking it? Predictors of distinct types of solitude experiences in daily life
TL;DR: This study provides a new framework for conceptualizing everyday solitude by identifying specific affect/thought patterns that characterize distinct solitude experience clusters, and it links these clusters with well-established individual differences.
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How We Experience Being Alone: Age Differences in Affective and Biological Correlates of Momentary Solitude
TL;DR: In this paper, the authors examined time-varying associations between momentary solitude, affect quality, and two hypothalamic-pituitary-adrenal axis activity markers [salivary cortisol; dehydroepiandrosterone sulfate (DHEAs)] to better understand the affective and biological correlates of momentary solitude across the adult life span.
Choosing Solitude: Age Differences in Situational and Affective Correlates of Solitude-Seeking in Midlife and Older Adulthood.
TL;DR: Findings suggest that compared to middle-aged adults, older adults are more likely to go to locations that match their desired social context, and also that solitude-seeking has more positive ramifications for older adults.
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Photogrammetric and lidar data integration using the centroid of a rectangular roof as a control point
Edson Aparecido Mitishita,Ayman Habib,Jorge Antonio Silva Centeno,Álvaro Muriel Lima Machado,Jennifer C. Lay,Carmen Wong +5 more
TL;DR: The centroid of a rectangular building roof derived using lidar data is equivalent to a single control point with 3D coordinates, and can therefore be used in traditional photogrammetric systems.
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