TABLE A1.
List of stimuli used in the experiment
| Pictures | Negative | Neutral |
|---|---|---|
| IAPS pictures (Lang et al., 2008) | 1,120 | 1,450 |
| 1,205 | 1,675 | |
| 1,275 | 1,910 | |
| 1,300 | 2,026 | |
| 1,304 | 2,038 | |
| 1,932 | 2,102 | |
| 2,095 | 2,308 | |
| 2,205 | 2,372 | |
| 2,276 | 2,377 | |
| 2,683 | 2,384 | |
| 2,688 | 2,390 | |
| 2,710 | 2,393 | |
| 2,800 | 2,396 | |
| 2,811 | 2,397 | |
| 2,981 | 2,400 | |
| 3,051 | 2,411 | |
| 3,103 | 2,435 | |
| 3,181 | 2,440 | |
| 3,185 | 2,484 | |
| 3,213 | 2,487 | |
| 3,230 | 2,495 | |
| 3,300 | 2,499 | |
| 3,301 | 2,513 | |
| 3,350 | 2,521 | |
| 3,550 | 2,525 | |
| 6,021 | 2,575 | |
| 6,311 | 2,579 | |
| 6,313 | 2,580 | |
| 6,415 | 2,594 | |
| 6,520 | 2,635 | |
| 6,821 | 2,745 | |
| 6,834 | 2,749 | |
| 7,380 | 2,840 | |
| 8,230 | 2,850 | |
| 8,485 | 5,471 | |
| 9,000 | 5,531 | |
| 9,006 | 7,009 | |
| 9,007 | 7,187 | |
| 9,040 | 7,476 | |
| 9,041 | 7,491 | |
| 9,043 | 7,512 | |
| 9,140 | 7,513 | |
| 9,265 | 7,550 | |
| 9,402 | 7,632 | |
| 9,421 | 8,241 | |
| 9,432 | 8,312 | |
| 9,433 | ||
| 9,480 | ||
| 9,560 | ||
| 9,584 | ||
| 9,611 | ||
| 9,630 | ||
| 9,800 | ||
| 9,810 | ||
| 9,909 | ||
| 9,940 | ||
| Own dataset |
Child soldier Burning house Moldy orange Moldy toast |
Wooden chair Empty dental practice People sitting at a table Car Church building Hiking shoes and socks Train Crowned crane Mallard duck Pot‐bellied pig Fox Toad Bird Person cooking a meal |
| Faces | Negative | Neutral |
| NimStim faces (Tottenham et al., 2009) | Female | Female |
| 01F_FE_O | 01F_NE_C | |
| 02F_FE_O | 02F_NE_C | |
| 03F_FE_O | 03F_NE_C | |
| 05F_FE_O | 05F_NE_C | |
| 06F_FE_O | 06F_NE_C | |
| 07F_FE_O | 07F_NE_C | |
| 08F_FE_O | 08F_NE_C | |
| 09F_FE_O | 09F_NE_C | |
| 10F_FE_O | 10F_NE_C | |
| 11F_FE_O | 11F_NE_C | |
| 17F_FE_O | 17F_NE_C | |
| 18F_FE_O | 18F_NE_C | |
| Male | Male | |
| 20M_FE_O | 20M_NE_C | |
| 21M_FE_O | 21M_NE_C | |
| 22M_FE_O | 22M_NE_C | |
| 23M_FE_O | 23M_NE_C | |
| 24M_FE_O | 24M_NE_C | |
| 25M_FE_O | 25M_NE_C | |
| 27M_FE_O | 27M_NE_C | |
| 28M_FE_O | 28M_NE_C | |
| 29M_FE_O | 29M_NE_C | |
| 30M_FE_O | 30M_NE_C | |
| 36M_FE_O | 36M_NE_C | |
| 37M_FE_O | 37M_NE_C | |
| FACES database (Ebner et al., 2010) | Female—Young age | Female—Young age |
| 010_y_f_f_b | 010_y_f_n_a | |
| 020_y_f_f_a | 020_y_f_n_a | |
| 022_y_f_f_a | 022_y_f_n_a | |
| 040_y_f_f_b | 040_y_f_n_a | |
| 048_y_f_f_b | 048_y_f_n_a | |
| 054_y_f_f_a | 054_y_f_n_a | |
| 098_y_f_f_a | 098_y_f_n_a | |
| 101_y_f_f_b | 101_y_f_n_a | |
| 106_y_f_f_b | 106_y_f_n_a | |
| 115_y_f_f_a | 115_y_f_n_a | |
| 163_y_f_f_b | 163_y_f_n_a | |
| 182_y_f_f_b | 182_y_f_n_a | |
| Male—Young age | Male—Young age | |
| 008_y_m_f_b | 008_y_m_n_a | |
| 013_y_m_f_a | 013_y_m_n_a | |
| 041_y_m_f_b | 041_y_m_n_a | |
| 057_y_m_f_a | 057_y_m_n_a | |
| 066_y_m_f_a | 066_y_m_n_a | |
| 072_y_m_f_a | 072_y_m_n_a | |
| 089_y_m_f_a | 089_y_m_n_a | |
| 109_y_m_f_b | 109_y_m_n_a | |
| 114_y_m_f_a | 114_y_m_n_a | |
| 123_y_m_f_a | 123_y_m_n_a | |
| 167_y_m_f_a | 167_y_m_n_a | |
| 170_y_m_f_b | 170_y_m_n_a | |
| Female—Middle age | Female—Middle age | |
| 006_m_f_f_b | 006_m_f_n_a | |
| 011_m_f_f_b | 011_m_f_n_b | |
| 019_m_f_f_a | 019_m_f_n_b | |
| 029_m_f_f_a | 029_m_f_n_a | |
| 035_m_f_f_b | 035_m_f_n_a | |
| 050_m_f_f_a | 050_m_f_n_b | |
| 052_m_f_f_b | 052_m_f_n_a | |
| 061_m_f_f_a | 061_m_f_n_a | |
| 064_m_f_f_b | 064_m_f_n_b | |
| 073_m_f_f_a | 073_m_f_n_b | |
| 080_m_f_f_b | 080_m_f_n_a | |
| 084_m_f_f_b | 084_m_f_n_b | |
| Male—Middle age | Male—Middle age | |
| 007_m_m_f_a | 007_m_m_n_a | |
| 014_m_m_f_a | 014_m_m_n_a | |
| 026_m_m_f_a | 026_m_m_n_b | |
| 032_m_m_f_b | 032_m_m_n_a | |
| 038_m_m_f_b | 038_m_m_n_a | |
| 045_m_m_f_a | 045_m_m_n_b | |
| 056_m_m_f_a | 056_m_m_n_a | |
| 058_m_m_f_b | 058_m_m_n_a | |
| 068_m_m_f_b | 068_m_m_n_b | |
| 070_m_m_f_a | 070_m_m_n_b | |
| 077_m_m_f_b | 077_m_m_n_b | |
| 082_m_m_f_a | 082_m_m_n_b | |
| Female—Old age | Female—Old age | |
| 005_o_f_f_a | 005_o_f_n_b | |
| 012_o_f_f_b | 012_o_f_n_b | |
| 021_o_f_f_b | 021_o_f_n_a | |
| 024_o_f_f_b | 024_o_f_n_a | |
| 036_o_f_f_b | 036_o_f_n_a | |
| 044_o_f_f_a | 044_o_f_n_a | |
| 047_o_f_f_a | 047_o_f_n_a | |
| 055_o_f_f_b | 055_o_f_n_b | |
| 060_o_f_f_a | 060_o_f_n_a | |
| 067_o_f_f_a | 067_o_f_n_b | |
| 075_o_f_f_a | 075_o_f_n_a | |
| 079_o_f_f_b | 079_o_f_n_b | |
| Male—Old age | Male—Old age | |
| 004_o_m_f_a | 004_o_m_n_b | |
| 015_o_m_f_b | 015_o_m_n_a | |
| 018_o_m_f_b | 018_o_m_n_a | |
| 027_o_m_f_b | 027_o_m_n_a | |
| 039_o_m_f_b | 039_o_m_n_b | |
| 042_o_m_f_a | 042_o_m_n_a | |
| 046_o_m_f_a | 046_o_m_n_a | |
| 053_o_m_f_a | 053_o_m_n_b | |
| 059_o_m_f_a | 059_o_m_n_b | |
| 065_o_m_f_a | 065_o_m_n_b | |
| 074_o_m_f_b | 074_o_m_n_b | |
| 076_o_m_f_a | 076_o_m_n_b | |
| KDEF (Lundqvist et al., 1998) | Female | Female |
| AF01AFS | AF01NES | |
| AF06AFS | AF06NES | |
| AF07AFS | AF07NES | |
| AF11AFS | AF11NES | |
| AF13AFS | AF13NES | |
| AF14AFS | AF14NES | |
| AF15AFS | AF15NES | |
| AF16AFS | AF16NES | |
| AF18AFS | AF18NES | |
| AF19AFS | AF19NES | |
| AF30AFS | AF30NES | |
| AF31AFS | AF31NES | |
| Male | Male | |
| AM01AFS | AM01NES | |
| AM02AFS | AM02NES | |
| AM04AFS | AM04NES | |
| AM05AFS | AM05NES | |
| AM06AFS | AM06NES | |
| AM07AFS | AM07NES | |
| AM08AFS | AM08NES | |
| AM10AFS | AM10NES | |
| AM11AFS | AM11NES | |
| AM13AFS | AM13NES | |
| AM22AFS | AM22NES | |
| AM23AFS | AM23NES | |
| Words | Negative | Neutral |
| Own dataset | Angst (fear) | Papier (paper) |
| Blut (blood) | Spiegel (mirror) | |
| Opfer (victim) | Objekt (object) | |
| Teufel (devil) | Sicht (view) | |
| Leiden (suffering) | Eigenschaft (characteristic) | |
| Hunger (hunger) | Flasche (bottle) | |
| Kälte (cold) | Information (information) | |
| Elend (misery) | Kasten (box) | |
| Katastrophe (catastrophe) | Post (post) | |
| Untergang (doom) | Ufer (shore) | |
| Wunde (wound) | Symbol (symbol) | |
| Selbstmord (suicide) | Bewohner (inhabitant) | |
| Verrat (betrayal) | Flugzeug (aircraft) | |
| Explosion (explosion) | Faktor (factor) | |
| Eifersucht (jealousy) | Vorhang (curtain) | |
| Fluch (curse) | Computer (computer) | |
| Ekel (disgust) | Getreide (grain) | |
| Diebstahl (robbery) | Plastik (plastic) | |
| Panik (panic) | Merkmal (feature) | |
| Henker (executioner) | Kurve (curve) | |
| Folter (torture) | Siedlung (settlement) | |
| Wahn (delusion) | Geschirr (dishes) | |
| Sklaverei (slavery) | Batterie (battery) | |
| Ungerechtigkeit (injustice) | Reifen (tire) | |
| Diktator (dictator) | Rasen (lawn) | |
| Hetze (rabble‐rousing) | Bleistift (pencil) | |
| Hilflosigkeit (helplessness) | Unterlage (base) | |
| Brutalität (brutality) | Detail (detail) | |
| Seuche (epidemic) | Ruder (rudder) | |
| Narbe (scar) | Gerüst (scaffold) | |
| Rassismus (racism) | Reflex (reflex) | |
| Vergewaltigung (rape) | Tablett (tray) | |
| Kerker (dungeon) | Beleg (receipt) | |
| Nazi (Nazi) | Quadrat (square) | |
| Lügner (liar) | Regal (shelf) | |
| Spritze (syringe) | Motorrad (motorcycle) | |
| Demütigung (humiliation) | Klingel (bell) | |
| Isolation (isolation) | Ziegel (brick) | |
| Bestie (beast) | Mikroskop (microscope) | |
| Hungersnot (famine) | Votum (vote) | |
| Durchfall (diarrhea) | Truhe (chest) | |
| Kreuzigung (crucifixion) | Aktentasche (briefcase) | |
| Eiter (ous) | Biegung (bend) | |
| Blamage (disgrace) | Tastatur (keyboard) | |
| Beklemmung (anxiety) | Fahrkarte (ticket) | |
| Alptraum (nightmare) | Natrium (natrium) | |
| Habgier (greed) | Kran (crane) | |
| Geisel (hostage) | Partikel (particle) | |
| Verstümmelung (mutilation) | Stellvertretung (representation) | |
| Perversion (perversion) | Brause (sherbet) | |
| Erpresser (blackmailer) | Automat (automat) | |
| Geschwür (ulcer) | Bügeleisen (flat iron) | |
| Heroin (heroin) | Turban (turban) | |
| Tumor (tumor) | Kastanie (chestnut) | |
| Warze (wart) | Kanister (canister) | |
| Ekzem (eczema) | Hausschuhe (slippers) | |
| Lepra (leprosy) | Pronomen (pronoun) | |
| Lungenkrebs (lung cancer) | Rolltreppe (escalator) | |
| Pisse (piss) | Armbeuge (arm bend) | |
| Fixer (junkie) | Kleiderbügel (clothes hanger) |