English

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution

Artificial Intelligence 2018-10-17 v1 Human-Computer Interaction Neurons and Cognition

Abstract

The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment. However, artificial multisensory perception remains an open issue especially in situations of sensory uncertainty and conflicts. In this work, we extend previous studies on audio-visual (AV) conflict resolution in complex environments. In particular, we focus on quantitatively assessing the contribution of semantic congruency during an AV spatial localization task. In addition to conflicts in the spatial domain (i.e. spatially misaligned stimuli), we consider gender-specific conflicts with male and female avatars. Our results suggest that while semantically related stimuli affect the magnitude of the visual bias (perceptually shifting the location of the sound towards a semantically congruent visual cue), humans still strongly rely on environmental statistics to solve AV conflicts. Together with previously reported results, this work contributes to a better understanding of how multisensory integration and conflict resolution can be modelled in artificial agents and robots operating in real-world environments.

Keywords

Cite

@article{arxiv.1810.06748,
  title  = {Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution},
  author = {Di Fu and Pablo Barros and German I. Parisi and Haiyan Wu and Sven Magg and Xun Liu and Stefan Wermter},
  journal= {arXiv preprint arXiv:1810.06748},
  year   = {2018}
}

Comments

Workshop on Crossmodal Learning for Intelligent Robotics at IROS'18, Madrid, Spain