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Task analysis

About: Task analysis is a research topic. Over the lifetime, 10432 publications have been published within this topic receiving 283481 citations.


Papers
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Proceedings ArticleDOI
21 Jun 2010
TL;DR: Regular differences associated with different task characteristics in several search behaviors, including task completion time, decision time, and eye fixations, are suggested to be used as implicit indicators of the user's task type.
Abstract: Personalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and their contexts, often through implicit sources of evidence such as user behaviors. Task types have been shown to influence search behaviors including usefulness judgments. This paper reports on an investigation of user behaviors associated with different task types. Twenty-two undergraduate journalism students participated in a controlled lab experiment, each searching on four tasks which varied on four dimensions: complexity, task product, task goal and task level. Results indicate regular differences associated with different task characteristics in several search behaviors, including task completion time, decision time (the time taken to decide whether a document is useful or not), and eye fixations, etc. We suggest these behaviors can be used as implicit indicators of the user's task type.

122 citations

Proceedings ArticleDOI
14 Jun 2020
TL;DR: This article proposed a task-agnostic meta-learning approach that learns a set of generalized parameters that are neither specific to old nor new tasks, which is ensured by a new meta-update rule which avoids catastrophic forgetting.
Abstract: Humans can continuously learn new knowledge as their experience grows. In contrast, previous learning in deep neural networks can quickly fade out when they are trained on a new task. In this paper, we hypothesize this problem can be avoided by learning a set of generalized parameters, that are neither specific to old nor new tasks. In this pursuit, we introduce a novel meta-learning approach that seeks to maintain an equilibrium between all the encountered tasks. This is ensured by a new meta-update rule which avoids catastrophic forgetting. In comparison to previous meta-learning techniques, our approach is task-agnostic. When presented with a continuum of data, our model automatically identifies the task and quickly adapts to it with just a single update. We perform extensive experiments on five datasets in a class-incremental setting, leading to significant improvements over the state of the art methods (e.g., a 21.3% boost on CIFAR100 with 10 incremental tasks). Specifically, on large-scale datasets that generally prove difficult cases for incremental learning, our approach delivers absolute gains as high as 19.1% and 7.4% on ImageNet and MS-Celeb datasets, respectively.

122 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated barriers for using course evaluation as a tool for improving student learning, through the analysis of course evaluation practices at The Royal Institute of Technology (KTH).
Abstract: This paper investigates barriers for using course evaluation as a tool for improving student learning, through the analysis of course evaluation practices at The Royal Institute of Technology (KTH) ...

121 citations

Patent
29 Aug 2002
TL;DR: Task definitions are used by a task scheduler and prioritizer to allocate task operations to a plurality of processing units as mentioned in this paper, where the task definition is an electronic record that specifies resources needed by, and other characteristics of, a task to be executed.
Abstract: Task definitions are used by a task scheduler and prioritizer to allocate task operations to a plurality of processing units. The task definition is an electronic record that specifies resources needed by, and other characteristics of, a task to be executed. Resources include types of processing nodes desired to execute the task, needed amount or rate of processing cycles, amount of memory capacity, number of registers, input/output ports, buffer sizes, etc. Characteristics of a task in clued maximum latency time, frequency of execution of a task, communication ports, and other characteristics. An examplary task definition language and syntax is described that uses constructs including order of attempted scheduling operations, percentage or amount of resources desired by different operations, handling of multiple executable images or modules, overlays, port aliases and other features.

121 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202328
202264
2021665
2020819
2019737
2018834