Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1789-1800 |
| Number of pages | 12 |
| Journal | Psychological Research |
| Volume | 84 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 4 May 2019 |
Keywords
- Adult
- Arm
- Avoidance Learning
- Female
- Food Preferences/psychology
- Humans
- Inhibition, Psychological
- Male
- Movement
- Young Adult
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In: Psychological Research, Vol. 84, No. 7, 04.05.2019, p. 1789-1800.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Measuring approach–avoidance tendencies towards food with touchscreen-based arm movements
AU - Meule, A.
AU - Richard, A.
AU - Lender, A.
AU - Dinic, R.
AU - Brockmeyer, T.
AU - Rinck, M.
AU - Blechert, J.
N1 - Cited By :22 Export Date: 14 December 2023 Correspondence Address: Meule, A.; Department of Psychology, Hellbrunner Straße 34, Austria; email: [email protected] Funding details: Horizon 2020 Framework Programme, H2020, 639445, ERC-StG-2014 639445 Funding details: European Research Council, ERC Funding text 1: Open access funding provided by Paris Lodron University of Salzburg. This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC-StG-2014 639445 NewEat). The authors would like to thank Elena Fischer, Gillian Kleveman, Doris Olbrich, Julian Ornig, Alexandra Peitl, Karin Scheibenpflug, Judith Schumilas, Magdalena Spitzbart, and Elisabeth Weingartner for collecting the data. Funding text 2: Open access funding provided by Paris Lodron University of Salzburg. This work was supported by the European Research Council (ERC) under the European Union?s Horizon 2020 research and innovation program (ERC-StG-2014 639445 NewEat). The authors would like to thank Elena Fischer, Gillian Kleveman, Doris Olbrich, Julian Ornig, Alexandra Peitl, Karin Scheibenpflug, Judith Schumilas, Magdalena Spitzbart, and Elisabeth Weingartner for collecting the data. References: Becker, D., Jostmann, N.B., Holland, R.W., Does approach bias modification really work in the eating domain? A commentary on Kakoschke et al. 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Figshare., , https://doi.org/10.6084/m9.figshare.5559175.v3, Parsons, S; Parsons, S., Kruijt, A.-W., Fox, E., Psychological Science needs a standard practice of reporting the reliability of cognitive behavioural measurements (2018) Psyarxiv; Paslakis, G., Kühn, S., Grunert, S., Erim, Y., Explicit and implicit approach vs avoidance tendencies towards high vs low calorie food cues in patients with obesity and active binge eating disorder (2017) Nutrients, 9 (10), pp. 1-16; Paslakis, G., Kühn, S., Schaubschläger, A., Schieber, K., Röder, K., Rauh, E., Erim, Y., Explicit and implicit approach vs. avoidance tendencies towards high vs. low calorie food cues in patients with anorexia nervosa and healthy controls (2016) Appetite, 107, pp. 171-179; Phaf, R.H., Mohr, S.E., Rotteveel, M., Wicherts, J.M., Approach, avoidance, and affect: a meta-analysis of approach-avoidance tendencies in manual reaction time tasks (2014) Frontiers in Psychology, 5 (378), pp. 1-16; Rinck, M., Becker, E.S., Approach and avoidance in fear of spiders (2007) Journal of Behavior Therapy and Experimental Psychiatry, 38, pp. 105-120; Rotteveel, M., Phaf, R.H., Automatic affective evaluation does not automatically predispose for arm flexion and extension (2004) Emotion, 4, pp. 156-172; Schoenmakers, T., Wiers, R.W., Field, M., Effects of a low dose of alcohol on cognitive biases and craving in heavy drinkers (2008) Psychopharmacology, 197, pp. 169-178; Schroeder, P.A., Lohmann, J., Butz, M.V., Plewnia, C., Behavioral bias for food reflected in hand movements: a preliminary study with healthy subjects (2016) Cyberpsychology, Behavior, and Social Networking, 19, pp. 120-126; Seibt, B., Neumann, R., Nussinson, R., Strack, F., Movement direction or change in distance? Self- and object-related approach–avoidance motions (2008) Journal of Experimental Social Psychology, 44, pp. 713-720; Shen, H., Zhang, M., Krishna, A., Computer interfaces and the “direct-touch” effect: Can iPads increase the choice of hedonic food? (2016) Journal of Marketing Research, 53, pp. 745-758; Warschburger, P., Gmeiner, M., Morawietz, M., Rinck, M., Evaluation of an approach–avoidance training intervention for children and adolescents with obesity: A randomized placebo-controlled prospective trial (2018) European Eating Disorders Review, 26, pp. 472-482; Wiers, C.E., Kühn, S., Javadi, A.H., Korucuoglu, O., Wiers, R.W., Walter, H., Bermpohl, F., Automatic approach bias towards smoking cues is present in smokers but not in ex-smokers (2013) Psychopharmacology, 229, pp. 187-197; Wiers, C.E., Stelzel, C., Park, S.Q., Gawron, C.K., Ludwig, V.U., Gutwinski, S., Bermpohl, F., Neural correlates of alcohol-approach bias in alcohol addiction: the spirit is willing but the flesh is weak for spirits (2014) Neuropsychopharmacology, 39, pp. 688-697; Zech, H.G., (2015) The Mobile Approach–Avoidance Task, , Master’s thesis at Leiden University, Leiden
PY - 2019/5/4
Y1 - 2019/5/4
N2 - Most tasks for measuring automatic approach–avoidance tendencies do not resemble naturalistic approach–avoidance behaviors. Therefore, we developed a paradigm for the assessment of approach–avoidance tendencies towards palatable food, which is based on arm and hand movements on a touchscreen, thereby mimicking real-life grasping or warding movements. In Study 1 (n = 85), an approach bias towards chocolate-containing foods was found when participants reached towards the stimuli, but not when these stimuli had to be moved on the touchscreen. This approach bias towards food observed in grab movements was replicated in Study 2 (n = 60) and Study 3 (n = 94). Adding task features to disambiguate distance change through either corresponding image zooming (Study 2) or emphasized self-reference (Study 3) did not moderate this effect. Associations between approach bias scores and trait and state chocolate craving were inconsistent across studies. Future studies need to examine whether touchscreen-based approach–avoidance tasks reveal biases towards other stimuli in the appetitive or aversive valence domain and relate to relevant interindividual difference variables.
AB - Most tasks for measuring automatic approach–avoidance tendencies do not resemble naturalistic approach–avoidance behaviors. Therefore, we developed a paradigm for the assessment of approach–avoidance tendencies towards palatable food, which is based on arm and hand movements on a touchscreen, thereby mimicking real-life grasping or warding movements. In Study 1 (n = 85), an approach bias towards chocolate-containing foods was found when participants reached towards the stimuli, but not when these stimuli had to be moved on the touchscreen. This approach bias towards food observed in grab movements was replicated in Study 2 (n = 60) and Study 3 (n = 94). Adding task features to disambiguate distance change through either corresponding image zooming (Study 2) or emphasized self-reference (Study 3) did not moderate this effect. Associations between approach bias scores and trait and state chocolate craving were inconsistent across studies. Future studies need to examine whether touchscreen-based approach–avoidance tasks reveal biases towards other stimuli in the appetitive or aversive valence domain and relate to relevant interindividual difference variables.
KW - Adult
KW - Arm
KW - Avoidance Learning
KW - Female
KW - Food Preferences/psychology
KW - Humans
KW - Inhibition, Psychological
KW - Male
KW - Movement
KW - Young Adult
UR - https://www.mendeley.com/catalogue/43692658-93b2-35ff-8351-32ff7c571a31/
U2 - 10.1007/s00426-019-01195-1
DO - 10.1007/s00426-019-01195-1
M3 - Article
C2 - 31055649
SN - 0340-0727
VL - 84
SP - 1789
EP - 1800
JO - Psychological Research
JF - Psychological Research
IS - 7
ER -