Topic
Behavioral pattern
About: Behavioral pattern is a research topic. Over the lifetime, 2157 publications have been published within this topic receiving 47842 citations. The topic is also known as: behavioral design pattern.
Papers published on a yearly basis
1 / 2
Papers
10 Oct 2018
TL;DR: The authors reviewed major meta-analyses of the attitude-behavior relation and found that general attitudes toward policies, people, institutions, and events correlate well with general behavioral patterns but not with specific behaviors.
Abstract: Work on general attitudes has drawn attention to the roles of attitude accessibility, controlled versus automatic information processing, and biases in information processing produced by automatically activated general attitudes towards objects. However, early failures to demonstrate strong attitude-behavior relations were shown to be attributable to incompatibility in the level of generality at which these variables were assessed. General attitudes toward policies, people, institutions, and events correlate well with general behavioral patterns but not with specific behaviors. Predicting specific actions requires a measure of attitude toward the behavior itself, as in the reasoned action approach, which takes specific behavior as its starting point and identifies intentions, attitudes, norms, and perceived behavioral control as important determinants. In addition to discussing those topics, this chapter reviews major meta-analyses of the attitude-behavior relation.
3,011 citations
Book•
1 Jan 1996TL;DR: Patterns.
Abstract: Patterns. Architectural Patterns. Design Patterns. Idioms. Pattern Systems. Patterns and Software Architecture. The Pattern Community. Where Will Patterns Go? Notations. Glossary. References. Index of Patterns.
2,988 citations
Posted Content•
TL;DR: In this paper, the authors examine how power influences human behavior and find that power is associated with positive affect, attention to rewards and to features of others that satisfy personal goals, automatic information processing and snap judgments, and disinhibited social behavior.
Abstract: This paper examines how power influences human behavior. We consider evidence from diverse literatures relating elevated power to approach and reduced power to inhibition. Specifically, power is associated with (a) positive affect, (b) attention to rewards and to features of others that satisfy personal goals, (c) automatic information processing and snap judgments, and (d) disinhibited social behavior. In contrast, reduced power is associated with (a) negative affect, (b) attention to threat and punishment, to others' interests, and to those features of the self that are relevant to others' goals, (c) controlled information processing and deliberative reasoning, and (d) inhibited social behavior. The potential moderators and consequences of these power-related behavioral patterns are discussed.
2,189 citations
TL;DR: It is demonstrated that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns that allow the prediction of individual-level outcomes such as job satisfaction.
Abstract: Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standard self-report survey data. We find that the information from these two data sources is overlapping but distinct. For example, self-reports of physical proximity deviate from mobile phone records depending on the recency and salience of the interactions. We also demonstrate that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns. These behavioral patterns, in turn, allow the prediction of individual-level outcomes such as job satisfaction.
2,092 citations
TL;DR: The central mathematical concepts of self-organization in nonequilibrium systems are used to show how a large number of empirically observed features of temporal patterns can be mapped onto simple low-dimensional dynamical laws that are derivable from lower levels of description.
Abstract: In the search for principles of pattern generation in complex biological systems, an operational approach is presented that embraces both theory and experiment. The central mathematical concepts of self-organization in nonequilibrium systems (including order parameter dynamics, stability, fluctuations, and time scales) are used to show how a large number of empirically observed features of temporal patterns can be mapped onto simple low-dimensional (stochastic, nonlinear) dynamical laws that are derivable from lower levels of description. The theoretical framework provides a language and a strategy, accompanied by new observables, that may afford an understanding of dynamic patterns at several scales of analysis (including behavioral patterns, neural networks, and individual neurons) and the linkage among them.
1,206 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 1 |
| 2025 | 8 |
| 2024 | 11 |
| 2023 | 31 |
| 2022 | 53 |
| 2021 | 124 |