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associative binding (Touryan et al, 2007). These findings suggest that the examination of associative memory binding may provide further insight into the effects of emotion on memory. In addition to examining associative memory in this chapter we will also examine a measure of implicit memory. With these type of tasks performance may indicate recognition in cases when participants may not necessarily be able to explicitly access this memory. The involvement of implicit memory mechanisms in emotions’ influence on memory is suggested by findings of a role for implicit memories in clinical disorders of emotion, such as depression (Barry, Naus, & Rehm, 2004). The critical link between memory and preference formation has been directly demonstrated by research investigating how preference for a neutral object is influenced by memory for an association between that neutral object and an emotional image (Ghuman & Bar, 2006). When participants explicitly remembered the affective associations they were found to prefer neutral shapes that had been associated with positive images. However, when they did not explicitly remember the affective associations they preferred neutral shapes that had been associated with negative images. Ghuman & Bar (2006) proposed that this preference in the absence of memory for items with a negative association is due to a mechanism which produces an inherent incentive to rapidly assess potential threats in the environment. In this chapter we will examine the influence of a previously embedded emotional or neutral object on preference for neutral backgrounds. This use of a preference judgement to assess levels of memory was also used in chapter 2 to assess whether exposure to stimuli affected preference judgements in a mere 185
exposure paradigm. In chapter 2 we found that prior exposure to stimuli had no influence on judgements of preference for negative, neutral or positive photographs from the IAPs database (Lang, Bradley, & Cuthbert, 2001). In this case, we concluded that due to the complex nature of these stimuli preference judgements were based on the meaning conveyed by the photographs and therefore this left no opportunity for the influence of prior exposure. In contrast in this chapter we will be examining preference judgements to neutral pictures which formed the background of the stimuli and therefore it should be less likely that preference is influenced by semantic judgements. Carry-over of emotion across stimuli One aspect of experimental design which relates to the emotion experienced by participants is the carry-over of emotion across stimuli. It is possible that when presenting emotional stimuli to participants there are effects which continue onwards after presentation of that particular stimulus (McKenna & Sharma, 2004; Waters, Sayette, & Wertz, 2003). One way in which these type of effects have been investigated is by using a variant of the Stroop (1935) task where participants must name the colour in which words are presented. In the emotional Stroop effect, emotional words are presented in different font colours and participants are asked to name the colour whilst ignoring the word. This is often slower for emotional than neutral words (for a review see Williams, Mathews, & MacLeod, 1996). One factor which has been investigated is the impact of stimuli order on the Stroop effect. Slower responses to certain types of words have been demonstrated in blocked groups of concern-related stimuli but these effects can 186
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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
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We found evidence of recognition me
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For the recognition test, which was
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Section 5. Experiments 2A and 2B: P
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items that had been seen previously
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Section 7. Experiment 2E: Recogniti
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Table 2.2. Experiment 2: Results of
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For the ‘know’ responses the ma
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Section 8. Experiment 2 - General D
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Presentation of stimuli in blocked
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It is possible that the act of maki
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enhancement can be influenced by re
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levels of memory between the positi
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the performance of any subsequent t
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experiment to provide a set of targ
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Experimental stimuli were presented
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Recognition performance in all thre
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Analysis of RKG responses We analys
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Further signal detection analysis o
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stimuli, which corresponded with mo
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could be generalised to the real-wo
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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
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
Page 166 and 167: esults will be found as for Experim
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Page 170 and 171: Table 4.3. Mean responses (SE) for
Page 172 and 173: greater recognition for the objects
Page 174 and 175: Table 4.4. Mean average (SE) number
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Page 178 and 179: difference between scenes with a ne
Page 180 and 181: of memory for positive objects was
Page 182 and 183: independent of attention, which is
Page 184 and 185: lack of a central-peripheral trade-
Page 186 and 187: to a detriment in memory for periph
Page 188 and 189: Alternative measures of memory: Ass
Page 192 and 193: greatly diminish or disappear with
Page 194 and 195: Factors unrelated to intrinsic emot
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Page 198 and 199: We predict that the pattern of memo
Page 200 and 201: ackground they had seen in the stud
Page 202 and 203: component (F(2,34) = 5.45, MSe = 0.
Page 204 and 205: Associative Memory In the associati
Page 206 and 207: The number of fixations made were a
Page 208 and 209: longer total gaze duration on the e
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Page 214 and 215: Section 3.1. Introduction Section 3
Page 216 and 217: were then shown, preceded by a 20 s
Page 218 and 219: 2.56, p < .001, partial eta 2 = .71
Page 220 and 221: (negative, neutral, positive) and s
Page 222 and 223: object in a scene. There was no sig
Page 224 and 225: eradication of any emotional enhanc
Page 226 and 227: possible that the emotional stimuli
Page 228 and 229: central-peripheral trade off in the
Page 230 and 231: Section 3.3. Results Results of the
Page 232 and 233: Planned contrasts revealed the impa
Page 234 and 235: component (object, background) inte
Page 236 and 237: ackground of the scene. There was n
Page 238 and 239: 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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