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detailed instructions were given; participants were simply asked which picture they recognised from each pair. Section 1.3. Results Firstly, we examined the probabilities of selecting the old item in the preference test given that the item had been exposed one, three, or five times in training (see Figure 2.1). Cohen’s d will be reported as the effect size for all t tests. In none of the conditions were the ‘old’ items selected significantly more often than chance would predict [One: t(11) = 1.71, p = 0.12, d = 0.49; Three: t(11) = 0.81, p = 0.44, d = 0.23; Five: t(11) = 0.61, p = 0.55, d = 0.18]. We performed the same steps in analysing the recognition test. Items presented three times were selected about 7% more often than chance would predict (t(11) = 2.21, p < 0.05, d = 0.64). The selection of items presented five times was approaching statistical significance [t(11) = 2.01, p = 0.07, d = 0.58]. Items presented once were not selected more often than chance would predict [t(11) < 0.001, p = 1.00, d = 0]. Secondly, we conducted an ANOVA to compare the probabilities of selecting the old item when it had a positive, negative or neutral valence and when it was shown one, three or five times. For all ANOVA analyses Mauchly’s test of sphericity was conducted and in those cases where the assumptions were not met the Greenhouse-Geisser adjusted p values are reported. These will be indicated with degrees of freedom which contain decimal points. Cohen’s f will be reported as the effect size for all factors and interactions for the ANOVA’s. Tukey’s Honestly Significant Difference pairwise comparisons were conducted for all significant main effects revealed 53
y the ANOVA’s. These are only reported where significant. For brevity the ANOVA values in this chapter only are reported in tabular form (see Table 2.1). For the preference task, a 3 (emotion) x 3 (repetitions) repeated measures ANOVA found no significant effects for the main effects of emotion block or repetitions, nor for the interaction between emotion block and repetitions. For the recognition task, a 3 (emotion) x 3 (repetitions) repeated measures ANOVA found a significant main effect of emotion block, but not for repetitions or the interaction between emotion block*repetitions. Post hoc analyses revealed that significantly more ‘old’ photos were selected from the positive than neutral block (q = 4.15, p < 0.05). 54
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THE EMOTIONAL ENHANCEMENT OF MEMORY
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the memory effects. Surprisingly, t
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and motivation was waning. Most imp
Page 7 and 8: Meta-analysis: Experiments 6-10…
Page 9 and 10: negative, neutral or positive objec
Page 11 and 12: Figure 6.2. Summary of findings fro
Page 13 and 14: Table 3.5. Criteria for giving resp
Page 15 and 16: avoidance task ………………
Page 17 and 18: loved one could block their ability
Page 19 and 20: eport, physiological response and c
Page 21 and 22: Section 1.2. What effects do emotio
Page 23 and 24: due to external influences. In cont
Page 25 and 26: of naturally occurring emotions or
Page 27 and 28: ecause mood inductions generally re
Page 29 and 30: (e.g. Conway et al., 1994). Memory
Page 31 and 32: alternatives (Lockhart, 2000). The
Page 33 and 34: equired participants to distinguish
Page 35 and 36: een found when memory is assessed b
Page 37 and 38: peripheral elements of emotional an
Page 39 and 40: processing of the specific content
Page 41 and 42: failure to retrieve episodic memori
Page 43 and 44: effects on cognitive processes, eve
Page 45 and 46: ecollection and familiarity within
Page 47 and 48: emotional influence on memory. In t
Page 49 and 50: year (Dolcos et al., 2005). There a
Page 51 and 52: e suitable for investigating memory
Page 53 and 54: possible that having to distinguish
Page 55 and 56: of photographs of people, animals a
Page 57: Retrieval phase: Participants then
Page 62 and 63: Table 2.1: Experiments 1 and 2: Res
Page 64 and 65: In these experiments the influence
Page 66 and 67: We found evidence of recognition me
Page 68 and 69: For the recognition test, which was
Page 70 and 71: Section 5. Experiments 2A and 2B: P
Page 72 and 73: items that had been seen previously
Page 74 and 75: Section 7. Experiment 2E: Recogniti
Page 76 and 77: Table 2.2. Experiment 2: Results of
Page 78 and 79: For the ‘know’ responses the ma
Page 80 and 81: Section 8. Experiment 2 - General D
Page 82 and 83: Presentation of stimuli in blocked
Page 84 and 85: It is possible that the act of maki
Page 86 and 87: enhancement can be influenced by re
Page 88 and 89: levels of memory between the positi
Page 90 and 91: the performance of any subsequent t
Page 92 and 93: experiment to provide a set of targ
Page 94 and 95: Experimental stimuli were presented
Page 96 and 97: Recognition performance in all thre
Page 98 and 99: Analysis of RKG responses We analys
Page 100 and 101: Further signal detection analysis o
Page 102 and 103: stimuli, which corresponded with mo
Page 104 and 105: could be generalised to the real-wo
Page 106 and 107: paradigm was first introduced by Tu
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The nature of recognition memory an
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The relation between Remember/Know/
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We proposed that a Remember respons
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to either the RKN or SSN memory tas
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change in a dimension (e.g., a ligh
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were prompted to indicate by key pr
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When you think the picture was not
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conducted to further analyse the ma
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interactions in the ANOVAs were fou
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Table 3.9. Same/Similar/New task: N
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Orthogonal contrasts revealed that
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Table 3.11. Remember/Know/New task:
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suitable responses were not equable
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We found that more ‘remember’ r
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say that context is easier to remem
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Levine & Bluck, 2004; Storbeck & Cl
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Figure 4.1. Examples of pairs of ne
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Familiarity i) Word frequency and w
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were not sure if there was going to
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Table 4.1. Experiment 5: Proportion
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memory for positive stimuli. These
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whether visual specificity for posi
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Figure 4.3. Examples of stimuli. St
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0.59 (-1.65 to 2.55; 0.98) respecti
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Section 3.3. Results The data for t
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Figure 4.4. Mean average specific a
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The possibility of a response bias
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Section 4. Experiment 7: Biases in
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of an attentional encoding explanat
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esults will be found as for Experim
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of one second was displayed before
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Table 4.3. Mean responses (SE) for
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greater recognition for the objects
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Table 4.4. Mean average (SE) number
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eveal a significantly longer total
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difference between scenes with a ne
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of memory for positive objects was
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independent of attention, which is
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lack of a central-peripheral trade-
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to a detriment in memory for periph
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Alternative measures of memory: Ass
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associative binding (Touryan et al,
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greatly diminish or disappear with
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Factors unrelated to intrinsic emot
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faces or places (Puri & Wojciulik,
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We predict that the pattern of memo
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ackground they had seen in the stud
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component (F(2,34) = 5.45, MSe = 0.
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Associative Memory In the associati
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The number of fixations made were a
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longer total gaze duration on the e
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.54], nor on backgrounds of scenes
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the background when presented later
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Section 3.1. Introduction Section 3
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were then shown, preceded by a 20 s
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2.56, p < .001, partial eta 2 = .71
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(negative, neutral, positive) and s
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object in a scene. There was no sig
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eradication of any emotional enhanc
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possible that the emotional stimuli
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central-peripheral trade off in the
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Section 3.3. Results Results of the
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Planned contrasts revealed the impa
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component (object, background) inte
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ackground of the scene. There was n
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Section 3.4. Discussion There was e
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identify with eye movement recordin
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Table 5.7. Average ratings (standar
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emotional influence on the results
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Figure 5.7. Specific and general re
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ecognition of positive and negative
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Figure 5.9. Specific and General Re
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Section 5.3. Eye movement results T
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.01). Post-hoc Tukey’s HSD were u
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The number of fixations made on dif
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(F(1.79,5.37) = 7.12, MSe = 232535.
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emotional and neutral object [F(1,6
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Figure 5.16. Experiments 7 - 10: Av
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may be that the scenes were easier
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Chapter 6. Discussion In the final
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In chapter 4 I extended the experim
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Figure 6.3 Summary of findings from
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alternative measures of attention h
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distribution of visual attention re
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designing and conducting experiment
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contributed to the difficulty in cr
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whether these perceptual difference
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Richardson-Klavehn, 2005) with the
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High Threshold Theory (Macmillan &
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participant and the artificial prod
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References Adolphs, R. (2002). Reco
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Buchanan, T. W. (2007). Retrieval o
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Davidson, R. J. (1994). On emotion,
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Gardiner, J. M., Ramponi, C., & Ric
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James, W. (1884). What is an emotio
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Levine, L. J., & Bluck, S. (2004).
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components. Journal of Experimental
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Rowe, G., Hirsh, J. B., & Anderson,
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Talmi, D., Schimmack, U., Paterson,
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Zajonc, R. B. (1968). Attitudinal e
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Appendix 2.2. ANOVA Analyses for Ex
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Table 2.2.4. Experiment 1: Separate
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Appendix 3.2. Contamination of Retr
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Appendix 4.1 Analysis of Same, Simi
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Scene component* emotion* response
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Section 4.1.2 Analysis for Experime
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Emotion* Response type F(4,68) = 0.
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esponse F(1,17) = 0.25, New respons
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Scene component* Response type Tuke
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Same response Similar response New
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Effect ANOVA result Response type F
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Similar response New response Same
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Tukey’s post hocs: For objects Sa
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esponse F(1,17) = 1.95, Similar res
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