Towards Web Browsing Assistance Using Task Modeling Based on Observed Usages

Author(s):  
Benoît Encelle ◽  
Karim Sehaba
Keyword(s):  
1997 ◽  
Author(s):  
Paul F. Syverson ◽  
Michael G. Reed ◽  
David M. Goldschlag
Keyword(s):  

Author(s):  
Deyu Tian ◽  
Yun Ma ◽  
Aruna Balasubramanian ◽  
Yunxin Liu ◽  
Gang Huang ◽  
...  

2021 ◽  
Vol 48 (4) ◽  
pp. 37-40
Author(s):  
Nikolas Wehner ◽  
Michael Seufert ◽  
Joshua Schuler ◽  
Sarah Wassermann ◽  
Pedro Casas ◽  
...  

This paper addresses the problem of Quality of Experience (QoE) monitoring for web browsing. In particular, the inference of common Web QoE metrics such as Speed Index (SI) is investigated. Based on a large dataset collected with open web-measurement platforms on different device-types, a unique feature set is designed and used to estimate the RUMSI - an efficient approximation to SI, with machinelearning based regression and classification approaches. Results indicate that it is possible to estimate the RUMSI accurately, and that in particular, recurrent neural networks are highly suitable for the task, as they capture the network dynamics more precisely.


2016 ◽  
Vol 21 (4) ◽  
pp. 454-479 ◽  
Author(s):  
Phung Dao ◽  
Noriko Iwashita ◽  
Elizabeth Gatbonton

This study explored the potential effects of communicative tasks developed using a reformulation of a task-based language teaching called Automatization in Communicative Contexts of Essential Speech Sequences (ACCESS) that includes automatization of language elements as one of its goals on learner attention to form in task-based interaction. The interaction data collected from a class for English as a second language (ESL) over a four-week period was analysed for incidence, outcome and characteristics (i.e. focus, initiation, response, and turn length) of language-related episodes (LREs) operationalized as evidence of learner attention to form. The results showed that during ACCESS task-based interactions, learners attended to form as reflected in a large number of LREs. Despite being brief, a majority of these LREs were correctly resolved, self-initiated, self- and other-responded, and focused on the target linguistic item: past-tense verbs. These results are discussed in terms of the potential effects of ACCESS task principles, different task features (i.e. task complexity, pre-task modeling, speaker role and group size), and learners’ approach to tasks on the incidence and characteristics of LREs.


Author(s):  
Taiga Mori ◽  
Takahide Otomo ◽  
Yusuke Nosaka ◽  
Eriko Ishii ◽  
Yuko Hoshino ◽  
...  

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