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The Vividness of Visual Imagery Questionnaire as a predictor of facial recognition memory performance

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After viewing 27 upright photographs of faces, 94 subjects took a forced-choice recognition memory test in which the pairs were shown either upright (N = 54) or inverted (N = 40), then completed Marks' (1973) Vividness of Visual Imagery Questionnaire (VVIQ). Although groups of 12 good and 12 poor visualizers representing the lower and upper 30 per cent of VVIQ scores were less accurate, slower to respond and less confident for inverted than upright faces, VVIQ status did not interact with the effect of inversion. However, good visualizers were more confident than poor visualizers, and VVIQ scores themselves were lower (indicating more vivid reports) in the upright than in the inverted condition. It was also found that VVIQ scores were lower for more than for less confident subjects, but only for those who were less accurate. These results contradict the hypothesis that the VVIQ reflects holistic processing, but support the hypothesis that it is contaminated by an instrument factor. It is suggested that studies with the VVIQ should be designed to avoid cueing effects of the criterion task, and that the VVIQ should be accompanied by a test of general processing capacity to identify subjects whose responses might be contaminated by confidence.
The Vividness of Visual Imagery Questionnaire as a predictor of facial recognition memory performance
McKelvie, Stuart J British Journal of Psychology; Feb 1, 1994; 85, 1; Periodicals Archive Online pg. 93
... Our dataset comprising 239 observations (one observation was excluded from the dataset as the participant did not complete the experiment) has a good gender balance, with 102 participants identifying as male at birth (43%) and 137 as female at birth (57%). 126 of the 239 participants are in the first age bracket (18)(19)(20)(21)(22)(23)(24), 70 in the second (25)(26)(27)(28)(29)(30)(31)(32)(33)(34), 28 in the third (35-44), 9 in the fourth (45-54), 4 in the fifth (55-64), and 1 in the sixth (65+); one participant preferred not to reveal their age. The average earnings were £2.63 (including a fixed participation fee of £1. ...
... from 16 to 80); further details are provided in the online appendix (accessible via OSF). Note, however, that our labels "low" and "high" are not to be interpreted qualitatively as "poor" and "good" 32 . We then pool the eyes-open and eyes-closed groups, so that we have a single sample for each gender (male and female) and each frame (non-visual and visual). ...
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Several of Kahneman and Tversky’s seminal works in the 1970s found evidence of the importance of framing in decision making under risk. They hypothesized that imaginability (visual imagery ability) may play an important role in the evaluation of subjective probabilities. However, the impact of visual imagery ability on choice under risk has not yet been explored. This is the main purpose of our study. In an online experiment, we collected participants’ visual imagery ability using the Vividness of Visual Imagery Questionnaire and their risk attitude using two choice-based risk elicitation tasks. Participants made their risk decisions either in an environment where risk was visualized (visual frame) or not (non-visual frame), and were randomly assigned to one of the two decision frames. Our results suggest that neither visual imagery ability nor decision frame has a substantial impact on risk attitude.
... For example, vividness resulted in better performance in discrimination tasks measuring visuospatial memory particularly when imagery was employed as a retrieval strategy (Berger & Gaunitz, 1979;Gur & Hilgard, 1975). The vividness of mental images also predicts facial recognition memory performance (McKelvie, 1994) and memory for pictures (Marks, 1973). To account for the results, Hanggi (1989) showed that vivid imagers tend to use visual coding strategies allowing them to store information contained in real-life pictures (see also Rodway et al., 2006) As an explanation for the behavioural findings, growing neural evidence indicates that visual imagery and visuospatial WM share common characteristics and rely on similar representations (Pearson, 2019;Pearson et al., 2015). ...
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... According to imagery studies, individuals differ widely in their ability to imagine vividly (Marks 1973a, b;McKelvie and Demers 1979;McKelvie 1994;Hatakeyama 1997;Amedi et al. 2005) and the most representative tool for measuring the ability to visualize imagery is Marks's (1973a, b) Vividness of Visual Imagery Questionnaire (VVIQ). This tool is designed to allow individuals to imagine multiple images in their minds and to record on a five-point scale how vivid the images are; image examples include "Imagine the sun rising on the horizon of the sea." ...
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... Good imagers (participants with a high VVIQ score) may be better able to picture the target face in their mind"s eye and thus be better at distinguishing the differences between the computer generated composite and their memory of the target face. Marks (1973) found that good imagers were more accurate in their recall of pictures than poor imagers; however McKelvie (1994) found no relationship between imaging ratings using VVIQ compared to the ability to identify faces. ...
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... I recollect the breakfast table, but do not see it." (Galton, 1880, pp 304-306) 1 Contemporary work on individual differences in visual imagery has continued to use survey instruments similar to those used by Galton, e.g., the Vividness of Visual Imagery Questionnaire; VVIQ (Marks, 1973) and the Object-Spatial Imagery Questionnaire; OSIQ (Blajenkova, Kozhevnikov, & Motes, 2006) confirming the existence of large and stable individual differences (Amedi, Malach, & Pascual-Leone, 2005;Hatakeyama, 1997;McKelvie, 1994;McKelvie & Demers, 1979;Zeman, Dewar, & Della Sala, 2015) and a growing understanding of their consequences for behavior and their neural bases (Cui, Jeter, Yang, Montague, & Eagleman, 2007;Keogh & Pearson, 2018). ...
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Marks (1973) and Gur & Hilgard (1975) have reported success in predicting performance in visual-memory tasks from scores in a questionnaire of self-rated vividness of imagery, i.e. the Vividness of Visual Imagery Questionnaire (VVIQ; Marks, 1973). The results obtained were attributed to the use of the VVIQ and pictures with a high degree of vividness in the memory task. These findings were disconfirmed in two experiments in which the VVIQ was used and vivid pictures were presented in the memory tasks. Subjects were to judge whether pairs of similar, successively presented pictures were identical or not. The results indicated that subjects rated as ‘good’ imagers did not perform differently from those rated as ‘poor’ imagers. The influences of demand characteristics in the previous experiments and differences in experimental procedures were referred to as possible causes of the observed inconsistencies in results. It is also suggested that questionnaires of self-rated visual imagery are ineffective as predictors of performance, since they only cover a limited aspect of imagery.