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Kurt Lewin laid the foundations for sensitivity training in a series of workshops he organised in 1946, using his field theory as the conceptual background. [1] His work then contributed to the founding of the National Training Laboratories in Bethel, Maine in 1947 – now part of the National Education Association – and to their development of training groups or T-groups.
All social engineering techniques are based on human nature of a human humanity decision-making known as cognitive biases. [5] [6]One example of social engineering is an individual who walks into a building and posts an official-looking announcement to the company bulletin that says the number for the help desk has changed.
The biopsychological theory of personality is a model of the general biological processes relevant for human psychology, behavior, and personality. The model, proposed by research psychologist Jeffrey Alan Gray in 1970, is well-supported by subsequent research and has general acceptance among professionals.
In psychology, a set is a group of expectations that shape experience by making people especially sensitive to specific kinds of information. A perceptual set, also called perceptual expectancy, is a predisposition to perceive things in a certain way. [1]
The concept of Environmental Sensitivity integrates multiple theories on how people respond to negative and positive experiences. These include the frameworks of Diathesis-stress model [4] and Vantage Sensitivity, [5] as well as the three leading theories on more general sensitivity: Differential Susceptibility, [6] [7] Biological Sensitivity to Context, [8] and Sensory processing sensitivity ...
Type D personality, a concept used in the field of medical psychology, is defined as the joint tendency towards negative affectivity (e.g. worry, irritability, gloom) and social inhibition (e.g. reticence and a lack of self-assurance). [1]
In anonymous survey settings, the subject is assured that their responses will not be linked to them, and they are not asked to divulge sensitive information directly to a surveyor. Anonymity can be established through self-administration of paper surveys returned by envelope, mail, or ballot boxes, or self-administration of electronic survey ...
Data sanitization involves the secure and permanent erasure of sensitive data from datasets and media to guarantee that no residual data can be recovered even through extensive forensic analysis. [1] Data sanitization has a wide range of applications but is mainly used for clearing out end-of-life electronic devices or for the sharing and use ...