Continuous affect state annotation using a joystick-based user interface: Exploratory data analysis

Karan Sharma; Claudio Castellini; E.L. van den Broek

Continuous affect state annotation using a joystick-based user interface: Exploratory data analysis

Karan Sharma, Claudio Castellini, E.L. van den Broek

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

25 Downloads (Pure)

Abstract

The DLR (German Aerospace Center) aims to assess user’s affective state in motion simulators. To facilitate this goal, a joystick-based user interface was used to gather reports on user’s emotions. This user interface allowed continuous annotations, while video clips were watched. In parallel, several physiological parameters (e.g., electrodermal activity, heart and respiration rate) were acquired to record affective responses. An exploratory data analysis of the users’ ratings (incl. several visualizations) that unveils several interesting data patterns is presented.

Original language	English
Title of host publication	Measuring Behavior 2016
Subtitle of host publication	10th International Conference on Methods and Techniques in Behavioral Research
Editors	Andrew Spink, Gernot Riedel, Liting Zhou, Lisanne Teekens, Rami Albatal, Cathal Gurrin
Place of Publication	Dublin, Ireland
Pages	525-530
Number of pages	6
Publication status	Published - 23 May 2016
Event	Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research - Dublin, Ireland Duration: 25 May 2016 → 27 May 2016 Conference number: 10 http://www.measuringbehavior.org/ http://measuringbehavior.org/

Conference

Conference	Measuring Behavior 2016
Abbreviated title	Measuring Behavior 2016
Country/Territory	Ireland
City	Dublin
Period	25/05/16 → 27/05/16
Internet address	http://www.measuringbehavior.org/ http://measuringbehavior.org/

Keywords

motion simulators
biosignals
affective computing
joystick
trajectory
data analysis
interaction technology

Access to Document

Sharma16-Continuous_affect_state_annotation_using_a_joystick-based_user_interface-Exploratory_data_analysisAccepted author manuscript, 603 KB

Cite this

Sharma, Karan ; Castellini, Claudio ; van den Broek, E.L. / Continuous affect state annotation using a joystick-based user interface : Exploratory data analysis. Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research. editor / Andrew Spink ; Gernot Riedel ; Liting Zhou ; Lisanne Teekens ; Rami Albatal ; Cathal Gurrin. Dublin, Ireland, 2016. pp. 525-530

@inproceedings{13f9f6e8e3164a8c850bcfdde3543bc8,

title = "Continuous affect state annotation using a joystick-based user interface: Exploratory data analysis",

abstract = "The DLR (German Aerospace Center) aims to assess user{\textquoteright}s affective state in motion simulators. To facilitate this goal, a joystick-based user interface was used to gather reports on user{\textquoteright}s emotions. This user interface allowed continuous annotations, while video clips were watched. In parallel, several physiological parameters (e.g., electrodermal activity, heart and respiration rate) were acquired to record affective responses. An exploratory data analysis of the users{\textquoteright} ratings (incl. several visualizations) that unveils several interesting data patterns is presented.",

keywords = "motion simulators, biosignals, affective computing, joystick, trajectory, data analysis, interaction technology",

author = "Karan Sharma and Claudio Castellini and {van den Broek}, E.L.",

year = "2016",

month = may,

day = "23",

language = "English",

isbn = "978-1-873769-59-1",

pages = "525--530",

editor = "Andrew Spink and Gernot Riedel and Liting Zhou and Lisanne Teekens and Rami Albatal and Cathal Gurrin",

booktitle = "Measuring Behavior 2016",

note = "Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research, Measuring Behavior 2016 ; Conference date: 25-05-2016 Through 27-05-2016",

url = "http://www.measuringbehavior.org/, http://measuringbehavior.org/",

}

Sharma, K, Castellini, C & van den Broek, EL 2016, Continuous affect state annotation using a joystick-based user interface: Exploratory data analysis. in A Spink, G Riedel, L Zhou, L Teekens, R Albatal & C Gurrin (eds), Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research. Dublin, Ireland, pp. 525-530, Measuring Behavior 2016, Dublin, Ireland, 25/05/16.

Continuous affect state annotation using a joystick-based user interface: Exploratory data analysis. / Sharma, Karan; Castellini, Claudio; van den Broek, E.L.
Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research. ed. / Andrew Spink; Gernot Riedel; Liting Zhou; Lisanne Teekens; Rami Albatal; Cathal Gurrin. Dublin, Ireland, 2016. p. 525-530.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Continuous affect state annotation using a joystick-based user interface

T2 - Measuring Behavior 2016

AU - Sharma, Karan

AU - Castellini, Claudio

AU - van den Broek, E.L.

N1 - Conference code: 10

PY - 2016/5/23

Y1 - 2016/5/23

N2 - The DLR (German Aerospace Center) aims to assess user’s affective state in motion simulators. To facilitate this goal, a joystick-based user interface was used to gather reports on user’s emotions. This user interface allowed continuous annotations, while video clips were watched. In parallel, several physiological parameters (e.g., electrodermal activity, heart and respiration rate) were acquired to record affective responses. An exploratory data analysis of the users’ ratings (incl. several visualizations) that unveils several interesting data patterns is presented.

AB - The DLR (German Aerospace Center) aims to assess user’s affective state in motion simulators. To facilitate this goal, a joystick-based user interface was used to gather reports on user’s emotions. This user interface allowed continuous annotations, while video clips were watched. In parallel, several physiological parameters (e.g., electrodermal activity, heart and respiration rate) were acquired to record affective responses. An exploratory data analysis of the users’ ratings (incl. several visualizations) that unveils several interesting data patterns is presented.

KW - motion simulators

KW - biosignals

KW - affective computing

KW - joystick

KW - trajectory

KW - data analysis

KW - interaction technology

UR - http://www.measuringbehavior.org/sites/default/files/u15/MB2016%20Proceedings%20Preprint.pdf

M3 - Conference contribution

SN - 978-1-873769-59-1

SP - 525

EP - 530

BT - Measuring Behavior 2016

A2 - Spink, Andrew

A2 - Riedel, Gernot

A2 - Zhou, Liting

A2 - Teekens, Lisanne

A2 - Albatal, Rami

A2 - Gurrin, Cathal

CY - Dublin, Ireland

Y2 - 25 May 2016 through 27 May 2016

ER -

Continuous affect state annotation using a joystick-based user interface: Exploratory data analysis

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this