Back

Cross Modal Correspondence based MultisensoryIntegration: A pilot study showing how HAV cues can modulate the reaction time.

BANERJEE, S.

2024-03-27 animal behavior and cognition
10.1101/2024.03.21.586134 bioRxiv
Show abstract

We live in a multisensory world, where all our senses work together for giving us a fulfilling experience of the environment that we are in or during our use of immersive technologies. For gaining more insight into the temporal scale understanding of the integration phenomenon EEG based BCI can give us the understanding of the transient changes in the brain. In this study, we investigated the potential of incorporating haptics into crossmodal correspondence based research to induce MSI effect through either the active touch users feedback or crossmodal correspondences with visual and auditory modalities, such as Kiki Bouba effect. We designed two experiments: O_LIVisual stimuli were presented on a standard computer monitor, and auditory stimuli were delivered through computer dynamics. Participants responded using left or right hand by pressing either CapsLock or Enter buttons respectively. Visual cue consisted of a red circle displayed randomly either on the left or on the right side of the screen. Auditory cue was a brief high tone presented through left or right headphones for 500 ms. Text stimuli that appeared on the screen instructed participants to respond with their left or right hand. Before each trial there was a fixation central cross displayed for 500 ms. C_LIO_LIThis experiment was inspired by previous studies on Kiki-Bouba correspondence. Visual stimuli consisted of 4 shapes - circle, triangle, polygon with 6 vertices, and star - presented on a computer screen. Locations of the visual stimuli were randomized. Auditory stimuli were generated using the Online Tone Generator website (https://onlinetonegenerator.com/). 2 sets of sounds were used: the first set included sine, triangle, square, and sawtooth waveforms, each at a frequency of 500 Hz; the second set included sawtooth waveforms at frequencies of 50 Hz, 300 Hz, 600 Hz, and 2000 Hz (summarised in Table 2). C_LI O_TBL View this table: org.highwire.dtl.DTLVardef@4b63fdorg.highwire.dtl.DTLVardef@191b6cborg.highwire.dtl.DTLVardef@177e6f4org.highwire.dtl.DTLVardef@dba414org.highwire.dtl.DTLVardef@1f13b3c_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2:C_FLOATNO O_TABLECAPTIONVisual and auditory stimuli used in Experiment 2 C_TABLECAPTION C_TBL Results suggested that it is indeed possible to achieve this type of integration without relying on complex haptic devices. Introducing haptics into BCI technologies through feedback touch or crossmodal correspondances holds potential to improve the user experience and information transfer rate (ITR). Participants, as expected, showed the lowest reaction times in congruent sequential test and the highest - in incongruent HAV cues based test. This indicates the importance preference for sequential cue presentation over simultaneous one. The time was significantly higher in case of Incongruent Haptic cues.

Matching journals

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

1
IEEE Transactions on Neural Systems and Rehabilitation Engineering
40 papers in training set
Top 0.1%
25.8%
2
PLOS ONE
4510 papers in training set
Top 9%
18.8%
3
Sensors
39 papers in training set
Top 0.2%
6.4%
50% of probability mass above
4
Frontiers in Neuroscience
223 papers in training set
Top 0.5%
6.4%
5
Frontiers in Human Neuroscience
67 papers in training set
Top 0.2%
4.9%
6
Journal of Neural Engineering
197 papers in training set
Top 0.6%
4.3%
7
Scientific Reports
3102 papers in training set
Top 34%
3.7%
8
Journal of Neuroscience Methods
106 papers in training set
Top 0.7%
1.9%
9
Journal of Visualized Experiments
30 papers in training set
Top 0.3%
1.7%
10
F1000Research
79 papers in training set
Top 2%
1.3%
11
Heliyon
146 papers in training set
Top 3%
1.2%
12
Neuroscience Letters
28 papers in training set
Top 0.8%
1.0%
13
iScience
1063 papers in training set
Top 26%
0.9%
14
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 2%
0.9%
15
eneuro
389 papers in training set
Top 8%
0.9%
16
Journal of NeuroEngineering and Rehabilitation
28 papers in training set
Top 0.8%
0.9%
17
SoftwareX
15 papers in training set
Top 0.5%
0.7%
18
BMC Biology
248 papers in training set
Top 5%
0.7%
19
PLOS Computational Biology
1633 papers in training set
Top 26%
0.7%
20
IEEE Transactions on Biomedical Engineering
38 papers in training set
Top 1%
0.7%
21
Scientific Data
174 papers in training set
Top 3%
0.6%
22
Chaos, Solitons & Fractals
32 papers in training set
Top 2%
0.6%
23
NeuroImage
813 papers in training set
Top 6%
0.6%
24
Human Movement Science
13 papers in training set
Top 0.4%
0.6%
25
Open Research Europe
14 papers in training set
Top 0.3%
0.5%
26
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 2%
0.5%
27
PeerJ
261 papers in training set
Top 19%
0.5%
28
Imaging Neuroscience
242 papers in training set
Top 4%
0.5%