| Title |
Detecting and identifying offset gaze
|
|---|---|
| Published in |
Attention, Perception, & Psychophysics, June 2017
|
| DOI | 10.3758/s13414-017-1347-0 |
| Pubmed ID | |
| Authors |
Tarryn Balsdon, Colin W. G. Clifford |
| Abstract |
A number of experiments have demonstrated that observers can accurately identify stimuli that they fail to detect (Rollman and Nachmias, 1972; Harris and Fahle, 1995; Allik et al. 1982, 2014). Using a 2x2AFC double judgements procedure, we demonstrated an analogous pattern of performance in making judgements about the direction of eye gaze. Participants were shown two faces in succession: one with direct gaze and one with gaze offset to the left or right. We found that they could identify the direction of gaze offset (left/right) better than they could detect which face contained the offset gaze. A simple Thurstonian model, under which the detection judgement is shown to be more computationally complex, was found to explain the empirical data. A further experiment incorporated metacognitive ratings into the double judgements procedure to measure observers' metacognitive awareness (Meta-d') across the two judgements and to assess whether observers were aware of the evidence for offset gaze when detection performance was at and below threshold. Results suggest that metacognitive awareness is tied to performance, with approximately equal Meta-d' across the two judgements, when sensitivity is taken into account. These results show that both performance and metacognitive awareness rely not only on the strength of sensory evidence but also on the computational complexity of the decision, which determines the relative distance of that evidence from the decision axes. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 32% |
| Professor > Associate Professor | 3 | 16% |
| Researcher | 2 | 11% |
| Unspecified | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 47% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Social Sciences | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 June 2017.
All research outputs
#21,500,614
of 24,003,070 outputs
Outputs from Attention, Perception, & Psychophysics
#1,661
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Outputs of similar age
#280,384
of 320,754 outputs
Outputs of similar age from Attention, Perception, & Psychophysics
#33
of 47 outputs
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