Liu Juan, Ando Hiroshi
Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University, Osaka, Japan.
PLoS One. 2016 Nov 30;11(11):e0167023. doi: 10.1371/journal.pone.0167023. eCollection 2016.
Most real-world events stimulate multiple sensory modalities simultaneously. Usually, the stiffness of an object is perceived haptically. However, auditory signals also contain stiffness-related information, and people can form impressions of stiffness from the different impact sounds of metal, wood, or glass. To understand whether there is any interaction between auditory and haptic stiffness perception, and if so, whether the inferred material category is the most relevant auditory information, we conducted experiments using a force-feedback device and the modal synthesis method to present haptic stimuli and impact sound in accordance with participants' actions, and to modulate low-level acoustic parameters, i.e., frequency and damping, without changing the inferred material categories of sound sources. We found that metal sounds consistently induced an impression of stiffer surfaces than did drum sounds in the audio-only condition, but participants haptically perceived surfaces with modulated metal sounds as significantly softer than the same surfaces with modulated drum sounds, which directly opposes the impression induced by these sounds alone. This result indicates that, although the inferred material category is strongly associated with audio-only stiffness perception, low-level acoustic parameters, especially damping, are more tightly integrated with haptic signals than the material category is. Frequency played an important role in both audio-only and audio-haptic conditions. Our study provides evidence that auditory information influences stiffness perception differently in unisensory and multisensory tasks. Furthermore, the data demonstrated that sounds with higher frequency and/or shorter decay time tended to be judged as stiffer, and contact sounds of stiff objects had no effect on the haptic perception of soft surfaces. We argue that the intrinsic physical relationship between object stiffness and acoustic parameters may be applied as prior knowledge to achieve robust estimation of stiffness in multisensory perception.
大多数现实世界中的事件会同时刺激多种感官模态。通常,物体的硬度是通过触觉感知的。然而,听觉信号中也包含与硬度相关的信息,人们可以从金属、木材或玻璃等不同的撞击声音中形成对硬度的印象。为了了解听觉和触觉硬度感知之间是否存在相互作用,如果存在,推断出的材料类别是否是最相关的听觉信息,我们使用力反馈设备和模态合成方法进行了实验,以根据参与者的动作呈现触觉刺激和撞击声音,并在不改变声源推断出的材料类别的情况下调节低层次声学参数,即频率和阻尼。我们发现,在仅听声音的条件下,金属声音始终比鼓声音更能让人产生表面更硬的印象,但参与者通过触觉感知到的带有调制金属声音的表面比带有调制鼓声音的相同表面明显更软,这与仅这些声音所产生的印象直接相反。这一结果表明,尽管推断出的材料类别与仅听声音时的硬度感知密切相关,但低层次声学参数,尤其是阻尼,与触觉信号的整合比材料类别更紧密。频率在仅听声音和听觉 - 触觉条件下都起着重要作用。我们的研究提供了证据,表明听觉信息在单感官和多感官任务中对硬度感知的影响不同。此外,数据表明,频率较高和/或衰减时间较短的声音往往被判断为更硬,而硬物体的接触声音对软表面的触觉感知没有影响。我们认为,物体硬度与声学参数之间的内在物理关系可以作为先验知识应用于多感官感知中以实现对硬度的稳健估计。