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CHI
2011
ACM
14 years 10 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
MHCI
2007
Springer
16 years 12 days ago
Understanding human-battery interaction on mobile phones
Mobile phone users have to deal with limited battery lifetime through a reciprocal process we call human-battery interaction (HBI). We conducted three user studies in order to und...
Ahmad Rahmati, Angela Qian, Lin Zhong
AAI
2005
166views more  AAI 2005»
15 years 6 months ago
Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia
1 One of the major challenges of Applied Artificial Intelligence is to provide environments where high level human activities like learning, constructing theories or performing exp...
Philippe Lemoisson, Stefano A. Cerri
AROBOTS
2004
114views more  AROBOTS 2004»
15 years 6 months ago
Integration of a Rehabilitation Robotic System (KARES II) with Human-Friendly Man-Machine Interaction Units
In this paper, we report some important results of design and evaluation of a wheelchair-based robotic arm system, named as KARES II (KAIST Rehabilitation Engineering Service Syste...
Zeungnam Bien, Myung Jin Chung, Pyung Hun Chang, D...
CAIP
2009
Springer
221views Image Analysis» more  CAIP 2009»
16 years 26 days ago
Model Based Analysis of Face Images for Facial Feature Extraction
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...