Wave Like an Egyptian: Accelerometer Based Gesture Recognition for Culture Specific Interactions

Matthias Rehm; Nikolaus Bee; Elisabeth André

Wave Like an Egyptian: Accelerometer Based Gesture Recognition for Culture Specific Interactions

Matthias Rehm, Nikolaus Bee, Elisabeth André

Human Machine Interaction

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

68 Citations (Scopus)

854 Downloads (Pure)

Abstract

The user’s behavior and his interpretation of interactions with others is influenced by his cultural background, which provides a number of heuristics or patterns of behavior and interpretation. This cultural influence on interaction has largely been neglected in HCI research due to two challenges: (i) grasping culture as a computational term and (ii) infering the user’s cultural background by observable measures. In this paper, we describe how the Wiimote can be utilized to uncover the user’s cultural background by analyzing his patterns of gestural expressivity in a model based on cultural dimensions. With this information at hand, the behavior of an interactive system can be adapted to culture-dependent patterns of interaction.

Original language	English
Title of host publication	Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction
Number of pages	10
Publisher	British Computer Society
Publication date	2008
Pages	13-22
Publication status	Published - 2008

Keywords

Gesture recognition
Cultural interactions
Bayesian network modeling

Access to Document

Rehm_Bee_Andre_2008__Wave like an Egyption_Accelerometer based gesture recognition for culture specific interactionsAccepted author manuscript, 1.1 MB

AUB Link

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CUBE-G: CUlture-adaptive BEhavior Generation
Rehm, M.
02/11/2006 → 26/02/2010
Project: Research
CALLAS: Conveying Affectiveness in Leading-edge Living Adaptive Systems
Rehm, M.
01/11/2006 → 30/04/2010
Project: Research
eCIRCUS: Education through Characters with emotional-Intelligence and Role-playing Capabilities that Understand Social interaction
Rehm, M.
01/03/2006 → 28/02/2009
Project: Research

Cite this

@inproceedings{e20d0fff68474f17974c15796dd78d40,

title = "Wave Like an Egyptian: Accelerometer Based Gesture Recognition for Culture Specific Interactions",

abstract = "The user{\textquoteright}s behavior and his interpretation of interactions with others is influenced by his cultural background, which provides a number of heuristics or patterns of behavior and interpretation. This cultural influence on interaction has largely been neglected in HCI research due to two challenges: (i) grasping culture as a computational term and (ii) infering the user{\textquoteright}s cultural background by observable measures. In this paper, we describe how the Wiimote can be utilized to uncover the user{\textquoteright}s cultural background by analyzing his patterns of gestural expressivity in a model based on cultural dimensions. With this information at hand, the behavior of an interactive system can be adapted to culture-dependent patterns of interaction.",

keywords = "Gesture recognition, Cultural interactions, Bayesian network modeling",

author = "Matthias Rehm and Nikolaus Bee and Elisabeth Andr{\'e}",

year = "2008",

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booktitle = "Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction",

publisher = "British Computer Society",

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Wave Like an Egyptian: Accelerometer Based Gesture Recognition for Culture Specific Interactions. / Rehm, Matthias; Bee, Nikolaus; André, Elisabeth.
Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction. British Computer Society, 2008. p. 13-22.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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AU - Rehm, Matthias

AU - Bee, Nikolaus

AU - André, Elisabeth

PY - 2008

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N2 - The user’s behavior and his interpretation of interactions with others is influenced by his cultural background, which provides a number of heuristics or patterns of behavior and interpretation. This cultural influence on interaction has largely been neglected in HCI research due to two challenges: (i) grasping culture as a computational term and (ii) infering the user’s cultural background by observable measures. In this paper, we describe how the Wiimote can be utilized to uncover the user’s cultural background by analyzing his patterns of gestural expressivity in a model based on cultural dimensions. With this information at hand, the behavior of an interactive system can be adapted to culture-dependent patterns of interaction.

AB - The user’s behavior and his interpretation of interactions with others is influenced by his cultural background, which provides a number of heuristics or patterns of behavior and interpretation. This cultural influence on interaction has largely been neglected in HCI research due to two challenges: (i) grasping culture as a computational term and (ii) infering the user’s cultural background by observable measures. In this paper, we describe how the Wiimote can be utilized to uncover the user’s cultural background by analyzing his patterns of gestural expressivity in a model based on cultural dimensions. With this information at hand, the behavior of an interactive system can be adapted to culture-dependent patterns of interaction.

KW - Gesture recognition

KW - Cultural interactions

KW - Bayesian network modeling

M3 - Article in proceeding

SP - 13

EP - 22

BT - Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction

PB - British Computer Society

ER -

Wave Like an Egyptian: Accelerometer Based Gesture Recognition for Culture Specific Interactions

Abstract

Keywords

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Projects

CUBE-G: CUlture-adaptive BEhavior Generation

CALLAS: Conveying Affectiveness in Leading-edge Living Adaptive Systems

eCIRCUS: Education through Characters with emotional-Intelligence and Role-playing Capabilities that Understand Social interaction

Cite this