منابع مشابه
Prediction and Discovery of Users' Desktop Behavior
We investigate prediction and discovery of user desktop activities. The techniques we explore are unsupervised. In the first part of the paper, we show that efficient many-class learning can perform well for action prediction in the Unix domain, significantly improving over previously published results. This finding is promising for various human-computer interaction scenarios where rich predic...
متن کاملHow Age Affects Pointing With Mouse and Touchpad: A Comparison of Young, Adult, and Elderly Users
Effects of age on pointing performance have become increasingly important as computers have become extensively used by still larger parts of the population. This study empirically investigates young (1214 years), adult (25-33 years), and elderly (61-69 years) participants’ performance when pointing with mouse and touchpad. We aim to provide an integrated analysis of (a) how these three age grou...
متن کاملReal-Time Detection of Task Switches of Desktop Users
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task as a twoclass classification problem and classify each sentence individually without leveraging the relationship among sentences. The unsupervised methods use heuristic rules to select the most informative sentences in...
متن کاملEfficient Online Learning and Prediction of Users' Desktop Actions
We investigate prediction of users’ desktop activities in the Unix domain. The learning techniques we explore do not require explicit user teaching. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results and baselines. This finding is promising for various human-computer interaction scenarios where a ri...
متن کاملKASIMIR - Work process embedded task management leveraging the Semantic Desktop
The effectiveness of semantic applications can be increased significantly if the system does not urge the users to take care of explicit semantic annotation creation. Today, semantic annotation creation is a well known bottleneck in semantic applications for enterprises. On the other hand semantic technologies have already proven to facilitate, e.g., a more efficient information management espe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017913539