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

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Publication Year: 2022

1 to 10 of 16 Results

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.
vote_perceived_gender.tab Mar 8, 2022 - Proxemics for Human-Agent Interaction in Augmented Reality Tabular Data - 4.4 KB - 7 Variables, 51 Observations - UNF:6:0Pmp+AHdf7fH9Gdom/V4Dg== Dataframe with perceived gender. Column names "F1", "F2", "M1", "M2", "robot", "Pillar" correspond to the name of the virtual agents used in the study. The order and their appearances are the same as Figure 2 in the manuscript. F1 stands for "Female 1"; F2 stands for "Female 2";...
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 el...
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 -

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.

vote_perceived_gender.tab

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

Tabular Data - 4.4 KB - 7 Variables, 51 Observations -

Dataframe with perceived gender. Column names "F1", "F2", "M1", "M2", "robot", "Pillar" correspond to the name of the virtual agents used in the study. The order and their appearances are the same as Figure 2 in the manuscript. F1 stands for "Female 1"; F2 stands for "Female 2";...

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 el...

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)

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