Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.09.09.748749

Perceptual integration of multisensory haptic, visual, and auditory feedback for roughness discrimination in augmented reality

Abstract

Understanding how our different senses interact to shape our perception is essential to design realistic and immersive virtual and augmented reality (VR/AR) experiences. The present study investigated how roughness perception can be modulated through haptic, visual, and auditory cues in AR using a vibrotactile wristband. Participants compared virtual textures varying in vibration frequency/amplitude, visual grain size, and friction sound. Results revealed strong linear relationships between stimulus parameters and perceived roughness, with haptic frequency and visual cues driving the highest discrimination performance. Adding non-informative sensory feedback reduced perceptual sensitivity, acting as noise. Individual differences emerged: participants who rated haptic as the easiest modality showed greater sensitivity to haptic variations, while visual-reliant participants performed better with visual cues. We conclude that roughness in AR can be systematically manipulated, but is vulnerable to perceptual interference from irrelevant inputs, where our work provides actionable insights for implementing optimized and adaptive AR/VR interfaces.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bonnet, S., Ericsson, R., Zhurakovskaia, I., Daumas, H., Ackerley, R.. 2026-09-15. Perceptual integration of multisensory haptic, visual, and auditory feedback for roughness discrimination in augmented reality. https://doi.org/10.64898/2026.09.09.748749

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Functional validation of allele-specific LMNB1 silencing in patient-derived astrocytes as a therapeutic option for Autosomal Dominant Leukodystrophy

Adult-onset Autosomal Dominant Leukodystrophy (ADLD) is a rare fatal leukodystrophy caused by increased LMNB1 gene dosage, most commonly resulting from duplication of the LMNB1 locus. Because ADLD is a gene dosage disorder, selective reduction of pathological LMNB1 expression represents a rational therapeutic strategy. Although allele-specific RNA interference has previously been shown to lower LMNB1 levels in patient-derived fibroblasts and directly reprogrammed neurons, its therapeutic effects have not been evaluated in disease-relevant human glial cells or using functional efficacy endpoints. Here, we established human induced pluripotent stem cell-derived astrocytes from ADLD patients as a human glial model in which to validate allele-specific LMNB1 silencing across molecular, cellular, and functional readouts. ADLD astrocytes recapitulated increased LMNB1 expression and characteristic nuclear abnormalities and displayed transcriptional alterations affecting extracellular matrix organization, calcium homeostasis, metabolism and RNA processing. Functionally, these cells also exhibited functional phenotypes suitable for therapeutic evaluation: astrocyte-conditioned medium impaired the viability of both murine and human oligodendroglial cultures, while conditioned-medium and direct astrocyte-seeding paradigms revealed impaired post-lesion myelin recovery in lysolecithin-treated cerebellar organotypic slices. Allele-specific LMNB1 silencing restored physiological LMNB1 levels, corrected nuclear abnormalities, attenuated astrocyte-mediated oligodendroglial toxicity, improved post-lesion myelin recovery, and was associated with selective transcriptional programs associated with extracellular support and cholesterol metabolism. Together, these findings provide molecular, cellular, and functional validation of allele-specific LMNB1 dosage correction in patient-derived human astrocytes and offer key support for LMNB1-lowering strategies in disease-relevant human glial cells.

neuroscience↗

Structural and functional MRI signatures of Gambling Disorder: a case-control study

Gambling disorder (GD) is a behavioural addiction that may help identify addiction-related neural features without the direct neurobiological effects of a primary substance of dependence. We examined regional grey matter volume (GMV) and resting-state functional connectivity (rsFC) in the same well-characterised sample. Eighteen men with GD and 21 matched healthy controls underwent high-resolution structural and resting-state functional MRI. GMV was quantified across 214 cortical and subcortical regions, and seed-based rsFC analyses focused on striatal subdivisions and mesocorticolimbic regions. Group differences were evaluated using permutation testing and cluster-corrected mixed-effects modelling. GD was associated with lower GMV in the ventromedial prefrontal cortex, orbitofrontal regions and other cortical and subcortical areas, alongside higher GMV in a subset of limbic and default-mode regions. Participants with GD also showed lower connectivity between the limbic striatum and the hippocampus, thalamus and putamen. In exploratory analyses, somatomotor connectivity was positively associated with gambling severity (Problem Gambling Severity Index: Spearman's rho = 0.71, p = 0.003, false-discovery-rate-adjusted q = 0.016). Structural and functional findings overlapped spatially in regions associated with valuation, memory, reward and habit formation, but regional GMV did not mediate group differences in rsFC. These findings are broadly consistent with corticostriatal models of GD and identify candidate circuit-level differences for independent replication. Larger, more diverse and longitudinal samples are required to establish their reproducibility, temporal direction and clinical relevance.

neuroscience↗

Acute Temporal Dynamics of Brain Injury Plasma Biomarkers following Controlled Football Heading

Footballers are routinely exposed to repeated non-concussive head impacts with (soccer) heading, the acute neurobiological consequences of which remain poorly characterised. Current evidence for acute changes in biofluid markers following heading is tempered by design limitations including inadequate impact exposure monitoring, uncontrolled confounders (e.g. exercise), the lack of a control group and heterogeneity in sampling times. This study attempts to address these limitations with a novel combination of serial sampling measuring biomarkers across five timepoints (pre and 0.5, 2, 4 and 24 h post heading), a within-subject, time-matched resting control condition and participant-level finite element modelling used for impact quantification. In a counter-balanced crossover design, twelve male football players aged 18-31 completed a heading session with 10 verified rotational headers delivered from a ball launcher at 10 m and a control condition. Impact kinematics were captured with instrumented mouthguards and modelled using the Edinburgh finite element head model (EdiFEHM). Additional monitoring measures included near point convergence (NPC) at each timepoint and the sport concussion assessment tool (SCAT6) at the pre, 0.5 and 24 h timepoints. The Quanterix Simoa N4PD Advantage Plus assay was used to quantify plasma concentration of neurofilament light (NfL), glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) and brain-derived tau (BD-tau) measured for the first time in this context. GFAP and BD-tau showed significant main effects of time (both P < 0.005) but no effect of heading. UCH-L1 was excluded and NfL restricted to descriptive analysis as both fell near or below the minimum assay quantification level. NPC alongside SCAT6 symptom and cognitive scores remained unaffected by heading. Tissue strain modelling showed a mean peak MPS95 of 0.099 (range: 0.074-0.144) consistent with low magnitude non-concussive impact exposure across participants. These findings provide a methodological framework and anchor point for non-concussive impact research employing biofluid sampling while highlighting sensitivity limitations of current multiplex Simoa assays in certain biomarkers for healthy young-adult populations. Design elements including time-matched controls, serial sampling and individualised mechanical exposure outcomes are essential for characterising exposure and avoiding spurious findings. The study was preregistered with the ISRCTN registry (ISRCTN44241334).

neuroscience↗