loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rune A. Andersen ; Kamal Nasrollahi ; Thomas B. Moeslund and Mohammad A. Haque

Affiliation: Aalborg University, Denmark

Keyword(s): Facial Expression Recognition, Interfacing Technologies, Motion Controlled, Gamepad.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Entertainment Imaging Applications ; Human and Computer Interaction ; Human-Computer Interaction

Abstract: One of the most important issues in gaming is deciding about the employed interfacing technology. Gamepad has traditionally been a popular interfacing technology for the gaming industry, but, recently motion controlled interfacing has been used widely in this industry. This is exactly the purpose of this paper to study whether the motion controlled interface is a feasible alternative to the gamepad, when evaluated from a user experience point of view. To do so, a custom game has been developed and 25 test subjects have been asked to play the game using both types of interfaces. To evaluate the users experiences during the game, their hedonic and pragmatic quality are assessed using both subjective and objective evaluation methods in order to crossvalidate the obtained results. An application of computer vision, facial expression recognition, has been used as a non-obtrusive objective and hedonic measure. While, the score obtained by the user during the game has been used as a pragmat ic quality measure. The use of facial expression recognition has, to the best of our knowledge, not been used before to assess the hedonic quality of interfaces for games. The thorough experimental results show that the user experience of the motion controlled interface is significantly better than the gamepad interface, both in terms of hedonic and pragmatic quality. The facial expression recognition system proved to be a useful non-obtrusive way to objectively evaluate the hedonic quality of the interfacing technologies. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.226.150.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Andersen, R.; Nasrollahi, K.; Moeslund, T. and Haque, M. (2014). Interfacing Assessment using Facial Expression Recognition. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 186-193. DOI: 10.5220/0004730801860193

@conference{visapp14,
author={Rune A. Andersen. and Kamal Nasrollahi. and Thomas B. Moeslund. and Mohammad A. Haque.},
title={Interfacing Assessment using Facial Expression Recognition},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={186-193},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004730801860193},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Interfacing Assessment using Facial Expression Recognition
SN - 978-989-758-009-3
IS - 2184-4321
AU - Andersen, R.
AU - Nasrollahi, K.
AU - Moeslund, T.
AU - Haque, M.
PY - 2014
SP - 186
EP - 193
DO - 10.5220/0004730801860193
PB - SciTePress