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Research

Papers to read

Here’s a list of papers that will help you get started. Please go through ones that are relevant to your project and read them carefully. Do ask questions if you have any.

METHODS

Psychophysical approach

2afc spearman karber⁠

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An useful book to have is Kingdom and Prins ‘Psychophysics’⁠

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magnitude estimation

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Verillo_Bolanowski_McGlone_roughenss_mag_est_1_vs_2_finger_wet_vs_dry.SomatoMotRes99.pdf

420.3 kB

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Role of friction and tangential force variation in the subjective scaling of tactile roughness - Smith 2002.pdf

253.6 kB

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Detection theory⁠

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Multisensory integration

MLE⁠

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Bayesian / ideal observer⁠

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Touch

Duplex theory⁠

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Haptic perception⁠

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Active touch⁠

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Contact forces⁠

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Simulation approach⁠

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Haptic exploration Machine learning approach⁠

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Vibration

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Hollins_2006_J_NSCI_Roughness_probe_adaptation 04.22.27.pdf

293.8 kB

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Softness

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Di Luca - Unknown - Multisensory softness.PDF

13.7 MB

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Multisensory Softness.pdf

1.7 MB

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Di Luca et al. - 2011 - Effects of visual-haptic asynchronies and loading-unloading movements on compliance perception.pdf

660.8 kB

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Di Luca - 2011 - Perceived compliance in a pinch.pdf

616.3 kB

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Van Beek et al. - 2015 - The effect of damping on the perception of hardness.pdf

1.3 MB

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Pages from Di Luca - ch 10 - Multisensory softness.pdf

1.5 MB

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VR and movements

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Virtual environments for motor rehabilitation: review⁠

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Sensory motor remapping of space in human–machine interfaces⁠

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Extending the Body for Interaction with Reality⁠

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The effect of hand size and interaction modality on the virtual hand illusion ⁠

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Tapping:

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Sensorimotor synchronization: A review of the tapping literature⁠

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Timing

Neural mechanisms of timing

https://web-archive.southampton.ac.uk/cogprints.org/12/1/ivry.html⁠

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Perception of intersensory synchrony

https://link.springer.com/article/10.3758/APP.72.4.871⁠

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Sequences

Li, M. S., and Di Luca, M. (2018). Musical Scales in Tone Sequences Improve Temporal Accruracy. Frontiers in Psychology. 9, doi: 10.3389/fpsyg.2018.00105

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fpsyg-09-00105.pdf

2 MB

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Di Luca, M., and Rhodes, D. (2016). Optimal perceived timing: integrating sensory information with dynamically updated expectations. Sci. Rep. 6:28563. doi: 10.1038/srep28563

Li, M. S., Rhodes, D., and Di Luca, M. (2016). For the last time: temporal sensitivity and perceived timing of the final stimulus in an isochronous sequence. Timing Time Percept. 4, 123–146. doi: 10.1163/22134468-00002057

Sequences and tone/intensity

Divenyi, P. L., and Danner, W. F. (1977). Discrimination of time intervals marked by brief acoustic pulses of various intensities and spectra. Atten. Percept. Psychophy. 21, 125–142. doi: 10.3758/BF03198716

Micheyl, C., Moore, B. C., and Carlyon, R. P. (1998). The role of excitation-pattern cues and temporal cues in the frequency and modulation-rate discrimination of amplitude-modulated tones. J. Acoust. Soc. Am. 104, 1039–1050. doi: 10.1121/ 1.423322

Jones, M. R. (2009). “Musical time,” in The Handbook of Music Psychology, eds S. Hallam, I. Cross, and M. Thaut (Oxford: Oxford University Press), 81–92.

Boltz, M. G. (2011). Illusory tempo changes due to musical characteristics. Music Perception, 28(4), 367–386. doi: 10.1525/mp.2011.28.4.367

Crowder, R. G., & Neath, I. (1995). The Influence of Pitch on Time Perception in Short Melodies. Music Perception: An Interdisciplinary Journal, 12(4), 379–386. https://doi.org/10.2307/40285672

Lake, Jessica I., Kevin S. LaBar, and Warren H. Meck. 2014. “Hear It Playing Low and Slow: How Pitch Level Differentially Influences Time Perception.” Acta Psychologica 149: 169–177. doi:10.1016/j.actpsy.2014.03.010.

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