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1 to 10 of 20 Results
Oct 5, 2022
Dietz, Dennis; Oechsner, Carl; Ou, Changkun; Chiossi, Francesco; Sarto, Fabio; Mayer, Sven; Butz, Andreas, 2022, "Dataset and Analysis for "Walk This Beam: Impact of Different VR Balance Training Strategies and Height Exposure on Performance and Physiological Arousal"", https://doi.org/10.18419/darus-3139, DaRUS, V1
Dynamic balance is an essential skill for the human upright gait; therefore, regular balance training can improve postural control and reduce the risk of injury. Even slight variations in walking conditions like height or ground conditions can significantly impact walking perform...
7Z Archive - 14.6 MB - MD5: 638a65591e96e835efc4d4ca83202f23
The analysis file contains Jupyter Notebook file for analysis of the different dependent variables collected in the study: 1. Data Cleaning (Broken data and Artifacts) 2. Dataframe creation 3. Accounting for Missing data 4. ECG analysis 5. Electrodermal activity analysis 6. An...
7Z Archive - 42.5 MB - MD5: be2e59c831d344418e7f68a1c6ac3cc4
Full dataset containing raw data per participant. Each participant folder contains: 1. ECG data (ECG.csv) 2. Electrodermal Activity data (EDA.csv) 3.Motion tracking data (Head, Left Foot, Right Foot, Left Hand, Right Hanf, Pelvis). 4. Movement of the tutorial ghost for the Imit...
Plain Text - 4.2 KB - MD5: 9c99934b27cc5e70eb9d5b83c324ea70
List of required Python Packages for running the statistical analysis for all dependent variables
MPEG-4 Video - 43.7 MB - MD5: 027d894ec57b700384c32eb04c439eb4
mp4 file showing the experimental paradigm and the VR environment
May 2, 2022
Chiossi, Francesco; Villa, Steeven; Hauser, Melanie; Welsch, Robin; Chuang, Lewis, 2022, "Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles", https://doi.org/10.18419/darus-2824, DaRUS, V1, UNF:6:YHhX4VFGLE0o6fVxJAlldw== [fileUNF]
Fatalities with semi-automated vehicles typically occur when users are engaged in non-driving related tasks (NDRTs) that compromise their situational awareness (SA). This work developed a tactile display for on-body notification to support situational awareness, thus enabling use...
Tabular Data - 1.3 KB - 9 Variables, 21 Observations - UNF:6:YHhX4VFGLE0o6fVxJAlldw==
This datased contains the following information per column: Participant ID, assigned condition (SA-L1 = 1, SA-L3=2), distance, Max Braking intensitiy, TTC, Attention Interference, WM Interference, NASA scores, SART score .
Adobe PDF - 71.3 KB - MD5: fcafd668f54f6fc66b2a3471e6dda0c5
Qualitative Questions asked within the Semi-Structured Interview
Apr 27, 2022
Chiossi, Francesco; Welsch, Robin; Villa, Steeven; Chuang, Lewis; Mayer, Sven, 2022, "Virtual Reality Adaptation using Electrodermal Activity to Support User Experience", https://doi.org/10.18419/darus-2820, DaRUS, V1
We report an experiment (N=18) where participants where engaged in a dual task setting in a Social VR (Virtual Reality) scenario. We present a physiologically-adaptive system that optimizes the virtual environment based on physiological arousal, i.e., electrodermal activity. We i...
7Z Archive - 223.7 MB - MD5: 43fc85772d525f7cb3ea8a9ee7c00539
Dataset containing data for each participant. Specifically included are : 1. Slope of the EDA tonic in -adaptation.csv ; 2. Raw Electrocardiogram (ECG) data in -ECG.csv; 3. Raw Electroencephalogram (EEG) data in -EEG.csv acquired from Value1 : Fz, P3, P, P4, PO7, Oz and PO8 el...
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