The phrase "attention decision" is not standard in written English and may cause confusion.
It could be used in contexts discussing decision-making processes that require careful consideration or focus, but it is not commonly recognized.
Example: "In high-stakes situations, an attention decision is crucial to ensure the best outcome."
Alternatives: "focused decision" or "careful choice".
Studies linking WM measures with cognition [10] in aging have tended to focus on frontal lobe functions (e.g. attention, decision making) and prominent white matter structures such as the corpus callosum, which are readily identified and measured.
The prefrontal cortex (PFC) is a brain structure involved in planning complex cognitive behaviors, personality, working memory, response inhibitory control, attention, decision making, and moderating social behavior (6, 7).
Other possible explanations include higher levels of unrecognised pathology in those with lower cognition (eg, retinal or optic nerve pathology not identifiable by slit lamp biomicroscopy) 25 26; a common underlying degenerative aetiology for vision and cognitive impairment 7 or an impact of cognition on attention, decision making and judgement skills required to read down a letter chart.
In short, it was stated: Consumers pay less attention Decision-making will become more complicated Consumers are under time pressure more than before Symbolic power of consumption will become more important Consumers seek for more convenience.
The event-related potential (ERP), P300, is involved in cognitive processing (Thakur et al. 2011), whereas the contingent negative variation (CNV) is another ERP that is speculated to show awareness, attention, decision-making, planning, and conation, as well as readiness for a motor response (Uysal et al. 2014).
To shed light on the field of uncertainty provides insights on where to focus attention, decisions and actions to shape the future development of transportation and mobility.
These zones handle things like attention, decision-making, self-regulation, and memory.
The Bayesian statistical modelling approach has been applied to individual and group cognitive data across multiple cognitive domains, including signal detection that is viewed as encompassing the processes of attention, decision-making and executive functioning [ 11, 12].
The Domains Memory, Attention, and Decision Process, and Optimism did not appear to have a large affect on decision-making.
The issues described above will affect decision-making, a construct that the TDF authors have classified into the " 10 - Memory, Attention, and Decision Processes" domain.
Each encounter required my attention, a decision and my civility at the least.
