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elevant for survival at the expense of those that are less relevant (Bocanegra & Zeelenberg, 2009). Perception and attention are closely linked, although the exact nature of this relationship has been a matter of considerable debate. It has been argued that emotional information can only be identified after the allocation of spatial attention (Calvo & Nummenmaa, 2007), but it has also been argued that emotional information can be identified before the allocation of spatial attention (Kern, Libkuman, & Otani, 2005). Section 1.2.3. Emotional information processing In addition to influencing initial perception, emotion has been shown to have an influence on the processing of information. Positive and negative emotions have been shown to differentially affect a person’s style of evaluating arguments; positive emotions tend to promote heuristic, creative and flexible modes of information processing, while negative emotions tend to promote a more analytic, data-driven mode of information processing (Levine & Pizarro, 2006). Bodenhausen, Kramer & Susser (1994) found that individuals who had been induced to feel happy rendered more stereotypic judgements than did those in a neutral mood, but that when motivation was sufficient they were able to overcome this influence of stereotypes on their judgements. This change in information processing style brought about by emotion has been shown to affect the judgements that people make in attributing the cause of a person’s behaviour. Forgas (1998) found that negative moods decreased the Fundamental Attribution Error, where people attribute the cause of a person’s behaviour to dispositional personal factors within the person’s control, even when there is strong evidence that the person’s behaviour was 17
due to external influences. In contrast, positive moods were found to increase this fundamental attribution error. Section 2. Which methodologies can be used to research emotions’ effects on memory? There are several methodological approaches which can be taken to the study of emotion and memory, and each has their own influence on the experimental design and potential findings. These are discussed below. Section 2.1. How can emotions be measured? There are several components of emotion and a wide variety of ways in which these can be measured. Emotions can be measured by examining subjective feelings of emotion, as well as physiological, behavioural and neural responses to emotion (Coan & Allen, 2007). Examples of the different measurements which could be taken when studying emotion include: i) Behavioural responses to emotion: Facial expressions are a critical way in which humans express their emotion and can be measured using human-observer-based coding systems, facial electromyography or using automated computer vision to analyse facial images (Cohn & Kanade, 2007). In extensive studies Ekman (e.g. 1992) has examined facial expressions in different cultures and concluded that they are universal, rather than culturally specific manifestations of emotion. ii) Physiological responses to emotion: A set of photographs that was developed to study emotion (International Affective Picture System, Lang, Bradley, & Cuthbert, 2001) and rated along two dimensions of valence and arousal was validated by measuring physiological 18
Page 1 and 2: THE EMOTIONAL ENHANCEMENT OF MEMORY
Page 3 and 4: the memory effects. Surprisingly, t
Page 5 and 6: 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: Section 1.2. What effects do emotio
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 and 58: Retrieval phase: Participants then
Page 59: y the ANOVA’s. These are only rep
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
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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
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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,
Page 294 and 295:
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
Page 308 and 309:
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
Page 334 and 335:
esponse F(1,17) = 1.95, Similar res
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