Behavioral Intention
Behavioral Intention - Related Videos
09:47
Children's Reliance on Artist Intentions When Identifying Pictures
0 Views •
2023
Source: Laboratories of Judith Danovitch and Nicholaus Noles—University of Louisville Children are not the best artists. Sometimes it’s easy to pick out the characteristic triangular head, whiskers, and tail of a cat, but children often describe elaborate scenarios that they depict as a beautifully unrecognizable mess. Thus, given children’s questionable artistic talent, how do they know what their drawings, and the drawings of others, represent? One way children identify pictures is by relying...
07:35
How Virtual Celebrity Characteristics Drive Purchase Intention: Testing the Stimulus-Organism-Response Framework with Structural Equation Modeling
0 Views •
2026
In the context of the virtual celebrity experience, content quality most strongly drives satisfaction; satisfaction, in turn, increases purchase intention indirectly via loyalty. Personalization strengthens the satisfaction-loyalty link, so firms should prioritize emotion-evoking, narrative-consistent virtual celebrity content and personalized loyalty programs.
11:14
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
0 Views •
Cited by 3 •
2015
This protocol presents a novel methodology for the neural decoding of intent from freely-behaving infants during unscripted social interaction with an actor. Neural activity is acquired using non-invasive high-density active scalp electroencephalography (EEG). Kinematic data is collected with inertial measurement units and supplemented with synchronized video recording.
12:18
Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station (INBEST)
0 Views •
Cited by 4 •
2015
Prolonged and comprehensive monitoring of mice in a home-cage environment provides a deeper understanding of aberrant behavior in murine models of brain diseases. This paper describes the Integrated Behavioral Station (INBEST) as the key component of contemporary behavioral analysis.
06:11
Nest Building Behavior as an Early Indicator of Behavioral Deficits in Mice
0 Views •
Cited by 69 •
2019
Here, we present a protocol to quantify nest building behavior in mice, which is known to be impaired in several neurological disorders and diseases. This protocol examines the utility of four materials and offers the opportunity to quantify the rater agreement in scoring, improving the validity and reliability of the assay.
FAQs
These factors provide complementary variables for interpreting a person’s willingness to perform an action. Together, they help engineering researchers examine whether intention is associated with personal evaluation, perceived social expectations, or the perceived ability to carry out the behavior. Separating these influences can reveal more specific barriers to technology use, safety compliance, or sustainable-system adoption.
Perceived usefulness and trust connect a technical system with the user’s decision about whether to accept it. A system may perform well technically, yet willingness to adopt it can remain limited if users do not recognize its value or lack confidence in it. Including these factors helps researchers investigate adoption barriers beyond technical performance alone.
Technical performance describes how well a product, system, or service functions, whereas intention measures whether people are likely to use it, follow it, or accept it. Examining both perspectives links engineering outcomes with user decision-making. This connection can show why a technically capable solution may still require changes to its design, delivery, or user experience.
Researchers commonly assess it with questionnaires that ask people about their willingness or likelihood of performing a specified action. They then model responses alongside factors such as attitudes, subjective norms, perceived behavioral control, perceived usefulness, and trust. This workflow produces structured evidence about likely user decisions and highlights which considerations may influence acceptance or compliance.
It can indicate whether users are likely to accept the technology and help identify barriers that could limit adoption. By relating intention to usefulness, trust, attitudes, social influences, or perceived control, engineers gain more targeted insight than technical evaluation alone provides. The findings can guide improvements to products, infrastructure, and services before or during implementation.
The same approach can examine willingness to follow safety procedures, use sustainable systems, or accept human-centered designs. These applications show whether an engineering solution aligns with user decision-making rather than focusing only on system performance. Results can help engineers recognize acceptance or compliance challenges and refine designs, services, or implementation strategies to address them.