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change in a dimension (e.g., a light green pine tree versus a dark green pine tree) and a rating of 1 indicated a substantial change (e.g., a red apple versus a green apple). Average ratings of how these dimensions changed between the items in a pair were comparable between the different emotional groups. The item means (with standard deviations in parentheses) for negative and neutral object pairs were: for colour .45 (.34), and .70 (.32); for orientation .62 (.35) and .61 (.35); for shape .44 (.29) and .41 (.26); and for size .22 (.24) and .17 (.22) respectively. iii) Size. There were 405 photographs of objects (1 item from each pair) rated for size by one University of <strong>Nottingham</strong> student (Female, 20 years). Forty-five percent of all the experimental stimuli were judged to fit into a shoebox in real life. This was similar across groups of negative (34 items) and neutral (48 items) stimuli. Familiarity i) Word frequency and word familiarity. Word frequency and word familiarity (Wilson, 1988) for the 270 verbal labels of the object pairs were comparable between the negative and neutral groups of stimuli. The average ratings (standard deviations in parentheses) for negative and neutral stimuli were for written word frequency 59.30 (102.65) and 57.02 (195.38) and for word familiarity 388.15 (245.43) and 417.05 (236.10) respectively. ii) Familiarity of object. There were 405 photographs of objects (1 item from each pair) rated for familiarity on a scale of 1 (highly unfamiliar) to 10 (highly familiar) by one 111
University of <strong>Nottingham</strong> student. Mean average item ratings (with standard deviations in parentheses) were comparable for negative and neutral objects and were 4.51 (2.46) and 4.13 (3.81) respectively. Procedure Study. Participants were presented with 152 nameable, colour photographs of objects (76 negative, 76 neutral). Items were presented for 500 ms with a variable inter-stimulus interval of between 6 and 14 seconds, which was randomly determined for each item. Participants were presented with a photograph, then had to make a task decision during the inter-stimulus interval whilst a central fixation cross was displayed. In this task participants had to indicate by key press (1 = Yes, 0 = No) whether in the real world the object would fit inside a shoebox. A real shoebox was placed next to participants throughout the experiment for reference. This was the task used by Kensinger et al. (2006) and ensured that, with the short presentation times of stimuli, participants did encode and process each object. The order of items was pseudorandomised so that no more than four items of one emotion were presented sequentially. Test. After an interval of at least two days participants completed a surprise recognition test. Participants allocated to the SSN task were presented with three types of stimuli: same, photographs of objects that were exactly the same as those at study; similar, objects shared same verbal label but were not identical to those at study; and new, objects that had not previously been presented. Each object was presented centrally on the screen and participants 112
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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
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Meta-analysis: Experiments 6-10…
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negative, neutral or positive objec
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Figure 6.2. Summary of findings fro
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Table 3.5. Criteria for giving resp
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avoidance task ………………
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loved one could block their ability
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eport, physiological response and c
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Section 1.2. What effects do emotio
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due to external influences. In cont
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of naturally occurring emotions or
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ecause mood inductions generally re
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(e.g. Conway et al., 1994). Memory
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alternatives (Lockhart, 2000). The
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equired participants to distinguish
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een found when memory is assessed b
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peripheral elements of emotional an
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processing of the specific content
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failure to retrieve episodic memori
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effects on cognitive processes, eve
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ecollection and familiarity within
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emotional influence on memory. In t
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year (Dolcos et al., 2005). There a
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e suitable for investigating memory
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possible that having to distinguish
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of photographs of people, animals a
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Retrieval phase: Participants then
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y the ANOVA’s. These are only rep
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Table 2.1: Experiments 1 and 2: Res
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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
Page 108 and 109: The nature of recognition memory an
Page 110 and 111: The relation between Remember/Know/
Page 112 and 113: We proposed that a Remember respons
Page 114 and 115: to either the RKN or SSN memory tas
Page 118 and 119: were prompted to indicate by key pr
Page 120 and 121: When you think the picture was not
Page 122 and 123: conducted to further analyse the ma
Page 124 and 125: interactions in the ANOVAs were fou
Page 126 and 127: Table 3.9. Same/Similar/New task: N
Page 128 and 129: Orthogonal contrasts revealed that
Page 130 and 131: Table 3.11. Remember/Know/New task:
Page 132 and 133: suitable responses were not equable
Page 134 and 135: We found that more ‘remember’ r
Page 136 and 137: say that context is easier to remem
Page 138 and 139: Levine & Bluck, 2004; Storbeck & Cl
Page 140 and 141: Figure 4.1. Examples of pairs of ne
Page 142 and 143: Familiarity i) Word frequency and w
Page 144 and 145: were not sure if there was going to
Page 146 and 147: Table 4.1. Experiment 5: Proportion
Page 148 and 149: memory for positive stimuli. These
Page 150 and 151: whether visual specificity for posi
Page 152 and 153: Figure 4.3. Examples of stimuli. St
Page 154 and 155: 0.59 (-1.65 to 2.55; 0.98) respecti
Page 156 and 157: Section 3.3. Results The data for t
Page 158 and 159: Figure 4.4. Mean average specific a
Page 160 and 161: The possibility of a response bias
Page 162 and 163: Section 4. Experiment 7: Biases in
Page 164 and 165: 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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