ACM Home Page
Please provide us with feedback. Feedback
Virtual assistant: an artificial agent for enhancing content acquisition: how ambient media elicit information from humans
Full text PdfPdf (1.07 MB)
Source
International Multimedia Conference archive
Proceeding of the 1st ACM international workshop on Semantic ambient media experiences table of contents
Vancouver, British Columbia, Canada
SESSION: Ambient media applications table of contents
Pages 75-82  
Year of Publication: 2008
ISBN:978-1-60558-314-3
Authors
Motoyuki Ozeki  Kyoto University, Kyoto, Japan
Shunichi Maeda  Kyoto University, Kyoto, Japan
Kanako Obata  Kyoto University, Kyoto, Japan
Yuichi Nakamura  Kyoto University, Kyoto, Japan
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 44,   Citation Count: 1
Additional Information:

abstract   references   cited by   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/10.1145/1461912.1461927
What is a DOI?

ABSTRACT

In this paper, we propose a novel framework "Virtual Assistant" for enhancing content potentially procured by ambient media. The Virtual Assistant is an artificial agent simulating a human assistant shown in TV programs and prompts users to provide feedback by asking questions or back-channeling. This framework ensures that sufficient information is provided in the captured content while users interact in a natural and enjoyable way with the agent. We developed a prototype agent based on a chatbot-like approach and applied it to a daily cooking scene. The experimental results demonstrate a good potential of the Virtual Assistant framework, allowing a person to provide feedback easily with few interruptions, lifting the face towards the camera, and eliciting a variety of useful information.


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
R. Hamada, K. Miura, I. Ide, S. Satoh, S. Sakai, and H. Tanaka, Multimedia integration for cooking video indexing, Proc. of Pacific-Rim Conference on Multimedia, II:657--664, 2004.
 
5
A. Hashimoto, N. Mori, T. Funatomi, Y. Yamakata, K. Kakusho, and M. Minoh, Smart kitchen: A user centric cooking support system, In Proc. of Information Processing and Management of Uncertainty in Knowledge-Based System, pages 848--854, 2008.
6
7
 
8
A. Lugmayr, Ambient, ambient, ambient - what are ambient media?, TICSP Adjunct Proc. of EuroITV 2007, pages 89--93, 2007.
 
9
Y. Nakauchi, T. Fukuda, K. Noguchi, and T. Matsubara, Intelligent kitchen: Cooking support by lcd and mobile robot with ic-labeled objects, Proc. of Int'l Conf. on Intelligent Robots and Systems, 2005.
 
10
M. Ozeki, Y. Nakamura, and Y. Ohta, Automated camerawork for capturing desktop presentations, IEE Proc. on Vision, Image & Signal Processing, 152(4):437--447, 2005.
 
11
C. Pinhanez and A. Bobick, Intelligent studios: Modeling space and action to control tv cameras, Proc. of Applications of Artificial Intelligence, 11(4):285--306, 1997.
 
12
M. Rougvie and P. Olivier, Dynamic editing methods for interactively adapting cinematographic style, TICSP Adjunct Proc. of EuroITV 2007, pages 304--308, 2007.
13
 
14
E. M. Tapia, S. S. Intille, and K. Larson, Activity recognition in the home setting using simple and ubiquitous sensors, Proc. of Pervasive 2004, LNCS 3001:158--175, 2004.
 
15
Q. T. Tran, G. Calcaterra, and E. D. Mynatt, Cook's collage: Deja vu display for a home kitchen, Proc. of Home-Oriented Informatics and Telematics 2005, pages 15--32, 2005.
 
16


Collaborative Colleagues:
Motoyuki Ozeki: colleagues
Shunichi Maeda: colleagues
Kanako Obata: colleagues
Yuichi Nakamura: colleagues