Attention Meter: A vision-based input toolkit for interaction designers

Chia Hsun Jackie Lee; Chiun Yi Ian Jang; Ting Han Daniel Chen; Jon Wetzel; Yang Ting Bowbow Shen; Ted Selker

doi:10.1145/1125451.1125644

Attention Meter: A vision-based input toolkit for interaction designers

Chia Hsun Jackie Lee, Chiun Yi Ian Jang, Ting Han Daniel Chen, Jon Wetzel, Yang Ting Bowbow Shen, Ted Selker

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

This paper shows how a software toolkit can allow graphic designers to make camera-based interactive environments in a short period of time without experience in user interface design or machine vision. The Attention Meter, a vision-based input toolkit, gives users an analysis of faces found in a given image stream, including facial expression, body motion, and attentive activities. This data is fed to a text file that can be easily understood by humans and programs alike. A four day workshop demonstrated that some Flash-savvy architecture students could construct interactive spaces (e.g. TaiKer-KTV and ScreamMarket) based on body andhead motions.

Original language	English (US)
Title of host publication	CHI'06 Extended Abstracts on Human Factors in Computing Systems, CHI EA'06
Pages	1007-1012
Number of pages	6
DOIs	https://doi.org/10.1145/1125451.1125644
State	Published - 2006
Externally published	Yes
Event	Conference on Human Factors in Computing Systems, CHI EA 2006 - Montreal, QC, Canada Duration: Apr 22 2006 → Apr 27 2006

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	Conference on Human Factors in Computing Systems, CHI EA 2006
Country/Territory	Canada
City	Montreal, QC
Period	4/22/06 → 4/27/06

Keywords

Interactivity
Multimodal interaction
Visual attention

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/1125451.1125644

Cite this

Attention Meter: A vision-based input toolkit for interaction designers. / Lee, Chia Hsun Jackie; Jang, Chiun Yi Ian; Chen, Ting Han Daniel et al.
CHI'06 Extended Abstracts on Human Factors in Computing Systems, CHI EA'06. 2006. p. 1007-1012 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, CHJ, Jang, CYI, Chen, THD, Wetzel, J, Shen, YTB & Selker, T 2006, Attention Meter: A vision-based input toolkit for interaction designers. in CHI'06 Extended Abstracts on Human Factors in Computing Systems, CHI EA'06. Conference on Human Factors in Computing Systems - Proceedings, pp. 1007-1012, Conference on Human Factors in Computing Systems, CHI EA 2006, Montreal, QC, Canada, 4/22/06. https://doi.org/10.1145/1125451.1125644

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AB - This paper shows how a software toolkit can allow graphic designers to make camera-based interactive environments in a short period of time without experience in user interface design or machine vision. The Attention Meter, a vision-based input toolkit, gives users an analysis of faces found in a given image stream, including facial expression, body motion, and attentive activities. This data is fed to a text file that can be easily understood by humans and programs alike. A four day workshop demonstrated that some Flash-savvy architecture students could construct interactive spaces (e.g. TaiKer-KTV and ScreamMarket) based on body andhead motions.

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Attention Meter: A vision-based input toolkit for interaction designers

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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