Back

Precision measurement of non-conscious avoidance reactions using 3D tracking: Validation across olfaction and vision

Thunell, E.; Dal Bo, E.; Norden, F.; Arshamian, A.; Michael, M.; Saluja, S.; Kjellstrom, H.; Tognetti, A.; Lundstrom, J. N.

2026-05-04 neuroscience
10.64898/2026.04.30.721883 bioRxiv
Show abstract

One of our sensory systems key functions is to detect threats in the environment. Sensory information eliciting negative emotions, such as fear or disgust, triggers instinctive avoidance reactions. This core survival mechanism is believed to be expressed as subtle non-conscious postural reactions, even when participants are instructed to stand still. Such avoidance behavior has mainly been studied using indirect measures that make participants aware of their posture (e.g. force-plate based methods) or measures that depend on explicit cognitive tasks, like moving a joystick to indicate an urge to approach or avoid the stimulus; experimental tasks with limited ecological validity and generalizability. Therefore, despite the importance of this basic survival strategy, its underlying mechanisms are still poorly understood. Here, we used a novel 3D-camera-based method allowing direct but implicit measures of postural reactions with high precision. Participants are aware that they are being filmed but, crucially, are not informed that distance measures are obtained. We assessed this ecologically valid measure of approach/avoidance responses in two different sensory modalities: olfaction and vision. Participants were standing upright while exposed to either olfactory or visual stimuli and verbally rating their perceived valence in each trial. In response to subjectively unpleasant odors and images, participants moved away from the stimulus source, as compared to pleasant stimuli. These results demonstrate a putative modality-independent early proxy for avoidance behavior in response to perceived negative valence. Considering its face validity and general applicability, this novel experimental method presents new possibilities for assessing non-conscious approach-avoidance responses in humans.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 0.1%
37.4%
2
PLOS ONE
4510 papers in training set
Top 15%
12.6%
3
eneuro
389 papers in training set
Top 1%
6.4%
50% of probability mass above
4
eLife
5422 papers in training set
Top 20%
4.3%
5
Journal of Experimental Biology
249 papers in training set
Top 0.8%
3.9%
6
Journal of Neuroscience Methods
106 papers in training set
Top 0.5%
2.7%
7
iScience
1063 papers in training set
Top 10%
2.1%
8
Behavior Research Methods
25 papers in training set
Top 0.1%
2.1%
9
Current Biology
596 papers in training set
Top 9%
1.7%
10
Nature Communications
4913 papers in training set
Top 57%
1.2%
11
PLOS Biology
408 papers in training set
Top 13%
1.2%
12
Communications Biology
886 papers in training set
Top 14%
1.2%
13
BMC Biology
248 papers in training set
Top 2%
1.2%
14
Sensors
39 papers in training set
Top 1%
1.2%
15
Chemical Senses
30 papers in training set
Top 0.1%
0.9%
16
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 6%
0.8%
17
Nature Human Behaviour
85 papers in training set
Top 4%
0.8%
18
Frontiers in Behavioral Neuroscience
46 papers in training set
Top 1.0%
0.8%
19
Biological Psychology
18 papers in training set
Top 0.1%
0.8%
20
Frontiers in Human Neuroscience
67 papers in training set
Top 3%
0.8%
21
Heliyon
146 papers in training set
Top 6%
0.8%
22
Experimental Physiology
19 papers in training set
Top 0.5%
0.7%
23
Science Advances
1098 papers in training set
Top 31%
0.7%
24
Ethology
18 papers in training set
Top 0.5%
0.7%
25
Integrative And Comparative Biology
15 papers in training set
Top 0.4%
0.7%
26
Frontiers in Psychology
49 papers in training set
Top 1%
0.6%
27
Physiology & Behavior
30 papers in training set
Top 0.5%
0.6%
28
Frontiers in Neuroscience
223 papers in training set
Top 9%
0.5%