Huamao Peng

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This study examined age differences in daily life events related to different types of social goals based on the socioemotional selectivity theory (SST), and determined whether the positivity effect existed in the context of social goals in older adults' daily lives. Over a course of 14 days, 49 older adults and 36 younger adults wrote about up to three(More)
To explore the roles of visual function and cognitive load in aging of inhibition, the present study adopted a 2 (visual perceptual stress: noise, nonnoise) × 2 (cognitive load: low, high) × 2 (age: young, old) mixed design. The Stroop task was adopted to measure inhibition. The task presentation was masked with Gaussian noise according to the visual(More)
The speech of older adults is commonly described as verbose and off-topic, which is thought to influence their social communication. This study investigated the role of inhibition in age-related off-topic verbosity (OTV). Inhibition consists of three functions: access, deletion, and restraint. The access function is responsible for preventing irrelevant(More)
Option framing effect is the phenomena that participants often accept more options when they are asked to delete undesired options from a full model (subtractive framing) than they do when they are instructed to add desired options to a base model (additive framing). Whether the same effect exists in different age groups is less well known. To explore the(More)
Framing effect studies indicate that individuals are risk averse for decisions framed as gains but risk-seeking for decisions framed as losses. Findings of age-related differences in susceptibility to framing are mixed. In the current study, we examined emotional arousal in two decision tasks (life saving vs. money gambling) to evaluate the effects of(More)
Data derived from 72 students in online English course showed that online self-efficacy was a moderating factor in relation between learning strategy and online performance. In high online self-efficacy group, online performance was predicted by learning strategy positively, which explained 23% of the performance variance. In low online self-efficacy group,(More)
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