This essays aims are to compare and contrast early VS late selection models of attention and attentional control. Specifically, its focus will be on some of the theories and research put forward within this field of study, that using computer analogy terms have provided models to explain attention. Following a chronological structure a review of some of the most influential theories of selective attention will be compared those of Broadbent (1958) Treisman (1964) and Deutsh & Deutsh (1970). It will be considered how well these models describe the mental processes involved in auditory attention and aid our understandings of how we can selectively attend to information within our environments.

Before we begin to examine some of the
This is also an early selection model.

Both of these theories share similarities since Triesman is a revised version of Broadbent’s single filter model. Their both early selection models, and many of the key assumptions that Broadbent made Treisman agreed with and used similar computer architecture in her model.
Since, her model retains this early filter which works on physical features of the message only.
However, in Broadbent model he views information coming in to the filter as a “winner takes all” approach; unattended information isn’t allowed through and processed. Yet his theory doesn’t account for research findings from Moray (1959) who noticed that occasionally information directed to a person unattended ear the (non-shadowed message during shadowing ) (i.e.) hearing someone mention your name, relative to physical characteristics of information.
Can interfere with the other ear that a person has selected as the one channel of information their using to pay attention to other information. Driver, J (2001). Later research by Underwood (1977) also questioned Broadbent study’s findings, since he viewed the participants used in the research where unfamiliar with shadowing and may have found this a difficult task and demanding. Underwood (1977) study findings showed “that participants trained in shadowing can detect