ACM Home Page
Please provide us with feedback. Feedback
Enriched human-centered multimedia computing through inspirations from disabilities and deficit-centered computing solutions
Full text PdfPdf (272 KB)
Source
International Multimedia Conference archive
Proceeding of the 3rd ACM international workshop on Human-centered computing table of contents
Vancouver, British Columbia, Canada
Pages 35-42  
Year of Publication: 2008
ISBN:978-1-60558-320-4
Authors
Sethuraman Panchanthan  Arizona State University, Tempe, AZ, USA
Narayanan C. Krishnan  Arizona State University, Tempe, AZ, USA
Sreekar Krishna  Arizona State University, Tempe, AZ, USA
Troy McDaniel  Arizona State University, Tempe, AZ, USA
Vineeth Nallure Balasubramanian  Arizona State University, Tempe, AZ, USA
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 16,   Downloads (12 Months): 146,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1462027.1462033
What is a DOI?

ABSTRACT

The paradigm of human-centered multimedia computing (HCMC) has emerged recently as a result of the increasing emphasis on integrating the concept of human-centeredness in various aspects of multimedia computing. While many theories have been proposed to advance this paradigm, it is our belief that a complete understanding of the issues surrounding HCMC requires capturing a complementary (yet enriching) perspective through inspirations drawn from studying human disabilities and deficits. In this paper, we present the need for understanding human deficiencies in sensory, neural, and cognitive sensing/actuations which could reveal innate components of human interaction that benefits researchers, designers and developers of new multimedia solutions. We illustrate how technologies that were started with assistive and rehabilitative goals have broader impacts to the general population. More importantly, this opens up new research issues that would otherwise not have been seen when the focus is only on the 'able' population. The study and understanding of the disabilities and deficits leads to a better understanding of human requirements in any human machine interaction which is important in advancing the vision and core principles of HCMC.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
3
4
 
5
 
6
Joo-Ho Lee, "Human Centered Ubiquitous Display in Intelligent Space," Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE, 2007, pp. 22--27.
 
7
M. Datcu and K. Seidel, "Human-centered concepts for exploration and understanding of Earth observation images," Geoscience and Remote Sensing, IEEE Transactions on, vol. 43, 2005, pp. 601--609.
 
8
 
9
 
10
R. Riener, L. Lünenburger, and G. Colombo, "Human-centered robotics applied to gait training and assessment," Journal of Rehabilitation Research and Development, vol. 43, pp. 679--94.
 
11
A. Jaimes. Human factors in automatic image retrieval system design and evaluation. In IS&T SPIE Proceedings of SPIE, volume 6061, Internet Imaging VII, 2006.
 
12
Michele Merler, Carolina Galleguillos and Serge Belongie "Recognizing Groceries in situ Using in vitro Training Data", IEEE conf. on Computer Vision and Pattern Recognition 2007, Pages: 1--8.
 
13
 
14
Panchanathan, S., Krishna, S., Black Jr, J.A., and Balasubramanian, V. 2008. Human centered multimedia computing: a new paradigm for the design of assistive and rehabilitative environments. In Proceedings of the IEEE International Conference on Signal Processing, Communications and Networking (Chennai, India, January 04-06, 2008). ICSCN'08. 1--7.
 
15
16
17
 
18
K. Kahol, J. French, T. McDaniel, S. Panchanathan and M. Smith, "Augmented reality for laparoscopic surgical tool training", K. Kahol, J. French, T. McDaniel, S. Panchanathan and M. Smith, "Augmented reality for laparoscopic surgical tool training", published at HCI International Conference-Augmented Cognition, Beijing China, July 2007. pp 459--467.

Collaborative Colleagues:
Sethuraman Panchanthan: colleagues
Narayanan C. Krishnan: colleagues
Sreekar Krishna: colleagues
Troy McDaniel: colleagues
Vineeth Nallure Balasubramanian: colleagues