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3,561 to 3,570 of 3,608 Results
tool.zip
Jun 9, 2022 - Sample Implementation for the Paper "Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection"
ZIP Archive - 380.3 MB - MD5: 7d44160b07673e160fb83724ac650720
TFA-Guidelines-2022.pdf
TFA-Guidelines-2022.pdf
May 20, 2022 - Guidelines on Replication and Research Data Management
Adobe PDF - 286.0 KB - MD5: ea953850363d17e9a9531f9a0d3a1517
Complete_dataset.tab
May 2, 2022 - Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles
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 .
Qualitative_Questions.pdf
Qualitative_Questions.pdf
May 2, 2022 - Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles
Adobe PDF - 71.3 KB - MD5: fcafd668f54f6fc66b2a3471e6dda0c5
Qualitative Questions asked within the Semi-Structured Interview
DataSet.7z
Apr 27, 2022 - Virtual Reality Adaptation using Electrodermal Activity to Support User Experience
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 electrodes. 4. Feedback presented during the N-Back task in -feedback.c...
Step_01.py
Apr 27, 2022 - Virtual Reality Adaptation using Electrodermal Activity to Support User Experience
Python Source Code - 6.6 KB - MD5: 0ba2a0a17cec3461196dea43efd8e1d5
Code to preprocess the raw dataset (performance, subjective and Electrodermal activity data)
Step_02.ipynb
Apr 27, 2022 - Virtual Reality Adaptation using Electrodermal Activity to Support User Experience
Jupyter Notebook - 790.8 KB - MD5: 89a5f48990f612b286f13e8e9c205074
Code for Statistical analysis of preprocessed data (Jupyter Notebook file)
df_holo_electrodermal_activity_analysis.tab
Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality
Tabular Data - 37.0 KB - 7 Variables, 540 Observations - UNF:6:zLLTaoJyI4/oSsqd1A78/g==
Dataframe with Electrodermal Activity (EDA) Data
df_holo_min.tab
Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality
Tabular Data - 129.5 KB - 13 Variables, 1068 Observations - UNF:6:1BTACawKEQZOICjP20Y7yw==
Dataframe with minimum/passing distances of each participant
df_holo.tab
Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality
Tabular Data - 112.3 KB - 13 Variables, 926 Observations - UNF:6:UXU37lC46OcL0ZjIEAzlRA==
Dataframe with each participant's preferred IPD, as well as passing distances with respect to each virtual agent (separated by sex) on each trial for both experimental blocks
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