@misc{Khojasteh23-WHCWIP-Auditory,
  title = {Capturing Rich Auditory-Haptic Contact Data for Surface Recognition},
  abstract = {The sophistication of biological sensing and transduction processes during finger-surface and tool-surface interaction is remarkable, enabling humans to perform ubiquitous tasks such as discriminating and manipulating surfaces.
  Capturing and processing these rich contact-elicited signals during surface exploration with similar success is an important challenge for artificial systems.
  Prior research introduced sophisticated mobile surface-sensing systems, but it remains less clear what quality, resolution and acuity of sensor data are necessary to perform human tasks with the same efficiency and accuracy.
  In order to address this gap in our understanding about artificial surface perception, we have designed a novel auditory-haptic test bed.
  This study aims to inspire new designs for artificial sensing tools in human-machine and robotic applications.
  },
  howpublished = {Work-in-progress paper (1 page) presented at the IEEE World Haptics Conference (WHC)},
  address = {Delft, The Netherlands},
  month = jul,
  year = {2023},
  slug = {khojasteh23-whcwip-auditory},
  author = {Khojasteh, Behnam and Shao, Yitian and Kuchenbecker, Katherine J.},
  month_numeric = {7}
}