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Path Following in Non-Visual Conditions - Screen shots and audio sample

<p>Screen shots and audio file in addition to the publication &quot;Path Following in Non-Visual Conditions&quot; by Alan Del Piccolo, Davide Rocchesso, and Stefano Papetti. Under revision for IEEE Transaction on Haptics (1 June 2018).</p> <p>Developed in Max (https://cycling74.com).</p> <p>Short description:</p> <ul> <li><em>interface.png</em>: the interface for managing the experiment. Output levels, trial repetitions and feedback conditions can be adjusted from here. The underlying Max patch is depicted in &quot;main patch.png&quot;</li> <li><em>main patch.png</em>: the main patch controlling the experiment. It receives the data from the Soundplane&#39;s controller (top left), invokes finger position detection and feedback generation (bottom left), manages the trial repetition and feedback modes (bottom center), and enables the adjustment of the feedback levels (right).&nbsp;</li> <li><em>mapToImage.png</em>: the patch that maps the participant&#39;s finger position on the Soundplane to the relative position over the loaded path shape. The position is shown by the white circle on the bottom left of the image.</li> <li><em>rolling_feedback.png</em>: the SDT &quot;rolling model&quot; configured for the use in the experiment. Note that the input levels are generated in the track_detection_SP2 patch.</li> <li><em>sdt_rolling.png</em>: a configuration of the SDT &quot;rolling model&quot; adjusted to output a signal similar to the one used in the experiment (see record.wav) as a stand-alone, namely without using the experiment&#39;s patches.</li> <li><em>track_detection_SP2.png</em>: the patch that manages the feedback generation (top left), the recording of execution time (bottom left), and the recording of position and force (center).</li> <li><em>record.wav</em>: a recording of the signal used in the experiment for both audio and vibrotactile feedback.</li> </ul>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
8

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