Emotion Word Processing: Sereno, Scott, Leuthold, & O’Donnell RTs, ERPs, and Eye Movements University of Glasgow Glasgow Language Processing.

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Presentation transcript:

Emotion Word Processing: Sereno, Scott, Leuthold, & O’Donnell RTs, ERPs, and Eye Movements University of Glasgow Glasgow Language Processing

Graham Scott

Emotion Words What are emotion words? –Express an emotional state (e.g., angry, happy) –Elicit an emotional state (e.g., snake, puppy) 2 traditional dimensions of emotion words –Arousal ≈ internal activation –Valence ≈ value or worth

valence arousal low (negative) high (positive) low highsexwarnun

Early Emotion Word Processing Lexical Decision (LD) / ERP experiment Eye Movement (EM) reading experiment Word frequency –High-frequency (HF) words are read more quickly than low-frequency (LF) words. –A word frequency effect (HF<LF) is used as a marker (index) of successful word recognition (lexical access).

Past Behavioural Experiments Stimuli negative vs. neutral words positive vs. neutral words emotional state words In general, stimuli are not well controlled for psycholinguistic variables such as word length and frequency.

Past Behavioural Experiments Task Manipulations lexical decision masking emotional decision priming recollection mood induction odd-ball paradigms lateralised presentation forced-choice tasks stimulus repetition self-referential judgments blocked presentation

Lexical Decision Emotion (Pos, Neg, Neut) x Frequency (HF, LF) 40 words of each type (240 total words) HF: Pos, Neg, Neut LF: Pos, Neg, Neut 240 length-matched non-words pronounceable pseudowords (blimble)

Lexical Decision Norms Arousal & Valence: ANEW (1000 words) Frequency: BNC (90 million written words) Randomised presentation – NO repetition, lateralised presentation, priming, masking, self- referential judgments, mood induction… 26 participants

Arousal Valence Freq Length (lo-hi, 1-9) (neg-pos, 1-9) (per mill) (char) LD: Stimulus Specifications (N=40) Pos LFPos Neut Neg Pos HFPos Neut Neg

rage venom detest hawk truck invest fame cheer elated destroy jealousy scissors ketchup admired ecstasy destroy jealousy scissors ketchup admired ecstasy suffocate leprosy pamphlet highway valentine treasure suffocate leprosy pamphlet highway valentine treasure shark slap rude muddy cane lump glory sexy lust ambulance torture lighthouse privacy millionaire miracle fire anger danger book hotel fabric joke brave pretty cancer divorce manner avenue travel birthday cancer divorce manner avenue travel birthday accident violent reserved village beautiful success accident violent reserved village beautiful success abuse fear burn bench bowl rock happy kiss gift suspicious panic concentrate glass excitement desire

LF: Pos=Neg < Neut HF: Pos < Neut=Neg

Measurement EMs = best on-line measure of visual word recognition in the context of normal reading ERPs = best real-time measure of brain activity associated with the perceptual and cognitive processing of words

(Sereno & Rayner, Trends in Cognitive Sciences, 2003)

Sereno, Rayner, & Posner (1998). NeuroReport. Sereno, Brewer, & O’Donnell (2003). Psych. Sci.

Past ERP Experiments Kanske & Kotz (2007) –Abstract & concrete Pos, Neg, Neut words –Lateralised presentation; stimulus repetition –Blocked: [Pos & Neut]; [Neg & Neut] –P2 ( ms) effects, but not with go/nogo LD Herbert et al. (2006) –Pleasant, unpleasant, and neutral adjectives –Task: emotionally evaluate and memorise words –Startle response induced on 1/3 of trials! –P2 ( ms) effects

ERP Experiment Same Materials/Design as in Lexical Decision Same 26 participants as in Lexical Decision Apparatus: BIOSEMI Active-Two amps 70 electrodes presentation controlled by ERTS N1 component: ms post-stimulus

N1 Topography ms

LF: Pos=Neg < Neut HF: Pos=Neut < Neg

Eye Movement Experiment No past EM emotion word experiments. Emot (Pos, Neg, Neut) x Freq (LF, HF) 15 words of each type → 90 expt sentences Measure fixation time on target words in neutral sentences via Dual Purkinje Eyetracker. 48 participants

Pos LFPos Neut Neg Pos HFPos Neut Neg Arousal Valence Freq Length (lo-hi, 1-9) (neg-pos, 1-9) (per mill) (char) EM: Stimulus Specifications (N=15)

Tom delivered the _____ with great care and attention. Phoebe discussed the _____ at great length with her friends. Michelle dreamt about the _____ every night for weeks. bombnewskiss spidercamelpuppy Lisa read about the _____ in her animal book. A sturdy creature, the _____ can survive in many habitats. The documentary on the _____ was very interesting. LF: HF:

Results: Fixation Time Measures Early –First fixation duration (FFD) –Single fixation duration (SFD) –Gaze duration (GD) Later –Next forward-going fixation after target (‘spillover’) –Total Fixation Time (TT) reject 6% skip10% 1 fix71% 2+ fix13%

LF: Pos=Neg < Neut HF: Pos < Neut=Neg

Conclusion We examined HF and LF Pos, Neg, Neut words across 3 measures: LexDec, ERP, and EM reading measures. Reponses were modulated by 3 factors: Frequency, Arousal, and Valence. First to show early lexical effects of emotion.

Lexical Decision LFHF Pos Neut Neg Single Fixation Duration LFHF Pos Neut Neg282286