SFB-TRR 161 C06 "User-Adaptive Mixed Reality"

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31 to 40 of 41 Results

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
Inference_CHI22_2.R Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality R Syntax - 9.7 KB - MD5: 4fe9f0ea8b83f11c078b34baa0079992 Data analysis Code
like_data.tab Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality Tabular Data - 2.7 KB - 3 Variables, 252 Observations - UNF:6:PP1EuYfA1WaWRDaJj4iRBA== Dataframe with Likeability Data. Participants' responses for the likeability of the virtual agents recorded on a 5 point Likert-Scale: 1 = "I strongly dislike the agent"; 5 = "I strongly like the agent"
Questionnaire_Demographics_Data_r2.tab Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality Tabular Data - 978 B - 4 Variables, 54 Observations - UNF:6:KI4Fyb6PjhJNuL7/Y10ARQ== Dataframe with demographics data.

Qualitative_Questions.pdf

May 2, 2022 - Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles

Adobe PDF - 71.3 KB -

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 -

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 -

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 -

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 -

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 -

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 -

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

Inference_CHI22_2.R

Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality

R Syntax - 9.7 KB -

Data analysis Code

like_data.tab

Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality

Tabular Data - 2.7 KB - 3 Variables, 252 Observations -

Dataframe with Likeability Data. Participants' responses for the likeability of the virtual agents recorded on a 5 point Likert-Scale: 1 = "I strongly dislike the agent"; 5 = "I strongly like the agent"

Questionnaire_Demographics_Data_r2.tab

Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality

Tabular Data - 978 B - 4 Variables, 54 Observations -

Dataframe with demographics data.

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