igroup presence questionnaire (IPQ) Database

Download IPQ example data

You can download raw data collected with the IPQ. The goal is to provide you with a solid basis for understanding the data you collect with the IPQ. It is our hope that other researchers who collect data with the IPQ will add those data to our database. If you find it useful to find these data here, we strongly encourage you to help in extending this database. Researchers contributing to this database will be listed on this site. They should agree with publishing their data under the same conditions that we state here.

You can download the IPQ Data set provided that you agree with the following conditions:

1. You may not change these data in any way.
2. You may make and give away verbatim copies of the data without restriction, provided that you duplicate all of the original copyright notices.
3. Publications of analyses of these data must reference the copyright holders.
4. You may charge a reasonable copying fee for any distribution of these data. You may not charge a fee for this data itself.

Currently, we have 542 cases in the database. Researchers that contributed to this database so far:

1. Thomas Schubert, Holger Regenbrecht, and Frank Friedmann
2. Isabelle Viaud-Delmon

When you do research with the IPQ, please contribute your data to our database!

To give you an idea what types of technologies and applications are included so far, here are some frequencies for both variables:

Documentation of the data set: Presence items

For the wording and description of the presence items, download the item table.

Important: All items have a range from 0 to 6. The left endpoint of the scale is always 0, the right endpoint is always 6. That is, if you want to work with means of these scales, you first have to reverse the reversed items. There are only 3 items with reversed wording: SP2, INV3, and REAL1. So, the appropriate SPSS syntax for reversing the values and keeping the scale is:

compute sp2u = -1 * sp2 + 6.
execute.

compute inv3u = -1 * inv3 + 6.
execute.

compute real1u = -1 * real1 + 6.
execute.

From these values, you then can compute mean values ranging from 0 to 6:

compute sp = mean(sp1, sp2u, sp3, sp4, sp5).
compute inv = mean(inv1, inv2, inv3u, inv4).
compute real = mean(real1u, real2, real3, real4).
execute.

From these means, you can plot diagrams showing a "presence profile" of an application or technology. The following diagram shows a comparison between the games Half-Life and Tomb Raider. The data are taken from our study PQII, with n=44 and n=15, respectively. The diagram plots SP, INV and REAL on three axis (range 0-7), and additionally the general item as a bow on the left. ANOVAs of the means show significant differences (p's<.05) for all variables except REAL (p=.20).

Documentation of the data set: Information on researchers and study

variable RES (numeric)

Researchers conducting the study and holding the copyright for this case.

variable STUDY (numeric)

Study name.

variable LANG (numeric)

language of the questionnaire applied in the study

1 -- German

2 -- English

3 -- Dutch

4 -- French

variable VERSION (string)

Version of the questionnaire. Currently only 1.0

variable NOFCASE (numeric)

Number of case in the respective study. Helpful if you later want to identify your cases again.

Information on the VE used by the subjects

variable VIDEO (numeric)

Type of Visual stimuli

General	Specific	coded as...
3D graphics (monoscopic) via...	monitor	1
	head-mounted display (HMD)	2
	projection screen	3
	multi-wall projection	4
3D graphics (stereoscopic) via...	monitor	5
	head-mounted display (HMD)	6
	projection screen	7
	multi-wall projection	8
text only via...	monitor (text)	9
unknown		0

variable AUDIO (numeric)

Type of Audio stimuli

type	coded as...
no sound	1
mono sound	2
stereo sound	3
surround sound	4
unknown	0

variable PERSPECT (numeric)

Kind of perspective onto the virtual world ? (In the case of changing perspectives, the one most frequently used.)

kind	coded as...
"Through the eyes of the own character", so called first-person perspective	1
"behind/above the character", so called third-person perspective	2
unknown	0

variable DURA (numeric)

Duration of stay in VE (mins)

variable AND_R (numeric)

Presence of other people in the VE (yes: 1, no: 0)

variable AND_S (numeric)

Presence of artificial characters in the VE (ves: 1, no: 0)

variable APP (numeric)

Type of application

type	coded as
unknown	0
game	1
visualisation	2
(further values may be added as necessary)

variable AGE (numeric)

Age of subject

variable GENDER (numeric)

gender of subject (female: 0, male: 1)