Individual and age-specific perceptions of time by adults

2021 ◽  
Vol 42 (5) ◽  
pp. 4-16
Author(s):  
V. Lisenkova ◽  
◽  
N. Shpagonova

The paper presents an experimental research of individual, age and gender specifics of time perception by adults from 18 to 75 years old (750 people). The methodological techniques used are: estimation, measuring and reproduction of time intervals within one minute. It was shown that when perceiving equal in value time intervals the respondents reveal opposite individual tendencies, manifested either in over- or under-estimation of time intervals, or in their under- or over-measuring, or in the absence of any particular tendency. Age and gender differences in the perception of time by adults were revealed. An analysis of the obtained data showed the presence of continuous micro-age shifts within the age range of 18-75 years, which is characterized by a rather complex, contradictory structure in the development of features of time intervals perception. On the border of early and middle adulthood at age 26, there is a slight increase in the accuracy of time interval estimation and measurement. On the border of middle and late adulthood, at age 45, there is already a sharp decline in the accuracy of time perception. Whether these age periods can be called critical or transitional cannot be unequivocally stated. Experimental data show that we cannot regard adulthood as a stationary, fully stabilized state where nothing happens anymore or as a period of gradual unfolding of involutionary processes only.

2012 ◽  
Vol 24 (6) ◽  
pp. 895-901 ◽  
Author(s):  
Ehud Bodner ◽  
Yoav S. Bergman ◽  
Sara Cohen-Fridel

ABSTRACTBackground: Ageism, a form of prejudice in which one relates negatively to people due to their age, exists throughout life. However, no attempt has been made to compare ageist attitudes across the life cycle, from young adulthood to old age. Consequently, the current study examined age and gender differences in ageism throughout adulthood.Methods: 955 Israeli participants (age range: 18–98 years) were divided into three age-groups: young (18–39), middle-aged (40–67), and old (68–98), and were administered the Fraboni Scale of Ageism. Age and gender differences were examined both for the three groups and for subgroups within the older adult cohort.Results: Multivariate analysis of variance revealed that middle-aged participants were significantly more ageist than younger and older groups. Across all age groups, men exhibited more avoidance and stereotypical attitudes toward older adults than women. Among the old age group, participants aged 81–98 held more ageist stereotypes and reported more avoidance of older adults than those aged 68–73. Within the older adult cohort, gender was a significant predictor for ageist attitudes among those aged 68–73 and 81–98, but not for people aged 74–80.Conclusions: Ageism demonstrates a changing pattern across the life span. While gender differences remain stable, ageist attitudes toward growing old as we age ourselves are constantly changing. In order to gain a better understanding of ageism as a general and global phenomenon, we need to consider the role of such attitudes in different stages of life.


Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 835
Author(s):  
Ioannis Tsimperidis ◽  
Cagatay Yucel ◽  
Vasilios Katos

Keystroke dynamics are used to authenticate users, to reveal some of their inherent or acquired characteristics and to assess their mental and physical states. The most common features utilized are the time intervals that the keys remain pressed and the time intervals that are required to use two consecutive keys. This paper examines which of these features are the most important and how utilization of these features can lead to better classification results. To achieve this, an existing dataset consisting of 387 logfiles is used, five classifiers are exploited and users are classified by gender and age. The results, while demonstrating the application of these two characteristics jointly on classifiers with high accuracy, answer the question of which keystroke dynamics features are more appropriate for classification with common classifiers.


Author(s):  
Daniele Mercatelli ◽  
Elisabetta Pedace ◽  
Pierangelo Veltri ◽  
Federico M. Giorgi ◽  
Pietro Hiram Guzzi

2019 ◽  
Vol 63 (4) ◽  
pp. 689-712
Author(s):  
K. Rothermich ◽  
O. Caivano ◽  
L.J. Knoll ◽  
V. Talwar

Interpreting other people’s intentions during communication represents a remarkable challenge for children. Although many studies have examined children’s understanding of, for example, sarcasm, less is known about their interpretation. Using realistic audiovisual scenes, we invited 124 children between 8 and 12 years old to watch video clips of young adults using different speaker intentions. After watching each video clip, children answered questions about the characters and their beliefs, and the perceived friendliness of the speaker. Children’s responses reveal age and gender differences in the ability to interpret speaker belief and social intentions, especially for scenarios conveying teasing and prosocial lies. We found that the ability to infer speaker belief of prosocial lies and to interpret social intentions increases with age. Our results suggest that children at the age of 8 years already show adult-like abilities to understand literal statements, whereas the ability to infer specific social intentions, such as teasing and prosocial lies, is still developing between the age of 8 and 12 years. Moreover, girls performed better in classifying prosocial lies and sarcasm as insincere than boys. The outcomes expand our understanding of how children observe speaker intentions and suggest further research into the development of teasing and prosocial lie interpretation.


1998 ◽  
Vol 511 (2) ◽  
pp. 533-548 ◽  
Author(s):  
Normand Leblanc ◽  
Denis Chartier ◽  
Hugues Gosselin ◽  
Jean-Lucien Rouleau

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