Task analysis

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

A Study of Learners' Perceptions of Online Intercultural Exchange through Web 2.0 Technologies.

Abstract: This paper reports a Spanish-American telecollaborative project through which students used Twitter, blogs and podcasts for intercultural exchange over the course of one semester. The paper outlines the methodology for the project including pedagogical objectives, task design, selection of web tools and implementation. Using qualitative and quantitative data collection, the study explored how the application of Web 2.0 facilitated cross-cultural communication. How the use of digital technology affected the way in which the students viewed intercultural learning and peer feedback was examined. The findings showed that students viewed the online exchange as a superb venue for intercultural communication with native speakers. Through social engagements, students not only gained cultural knowledge but also became more aware of their own beliefs and attitudes toward their own culture. In addition, discussions on topics of tangible and intangible cultures afforded the opportunity to raise students’ awareness of cultural norms and practices. Peer feedback helped learners increase lexical knowledge, prevent language fossilization, and acquire native-sounding discourse. The study suggests that allocating sufficient time to complete each task and making personal commitment to online contributions are essential to successful intercultural exchanges.

Achieving Cyber Defense Situational Awareness: A Cognitive Task Analysis of Information Assurance Analysts

Abstract: A Cognitive Task Analysis (CTA) was performed to investigate the workflow, decision processes, and cognitive demands of information assurance (IA) analysts responsible for defending against attacks on critical computer networks. We interviewed and observed 41 IA analysts responsible for various aspects of cyber defense in seven organizations within the US Department of Defense (DOD) and industry. Results are presented as workflows of the analytical process and as attribute tables including analyst goals, decisions, required knowledge, and obstacles to successful performance. We discuss how IA analysts progress through three stages of situational awareness and how visual representations are likely to facilitate cyber defense situational awareness.

The syntax–discourse interface in near-native L2 acquisition: Off-line and on-line performance

Abstract: This study investigates ultimate attainment at the syntax–discourse interface in adult second-language (L2) acquisition. In total, 91 L1 (first-language) English, L1 Dutch and L1 Russian advanced-to-near-native speakers of German and 63 native controls are tested on an acceptability judgement task and an on-line self-paced reading task. These centre on discourse-related word order optionality in German. Results indicate that convergence at the syntax–discourse interface is in principle possible in adult L2 acquisition, both in off-line knowledge and on-line processing, even for L1 English speakers, whose L1 does not correspond to L2 German in discourse-to-syntax mappings. At the same time, non-convergence of the L1 Dutch groups and differences in the L2 groups' performance between tasks suggest that asymmetries in L1–L2 discourse configurations and computational difficulties in mapping discourse onto syntax constrain L2 performance.

ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

Abstract: The ICDAR 2019 Challenge on "Scanned receipts OCR and key information extraction" (SROIE) covers important aspects related to the automated analysis of scanned receipts. The SROIE tasks play a key role in many document analysis systems and hold significant commercial potential. Although a lot of work has been published over the years on administrative document analysis, the community has advanced relatively slowly, as most datasets have been kept private. One of the key contributions of SROIE to the document analysis community is to offer a first, standardized dataset of 1000 whole scanned receipt images and annotations, as well as an evaluation procedure for such tasks. The Challenge is structured around three tasks, namely Scanned Receipt Text Localization (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3). The competition opened on 10th February, 2019 and closed on 5th May, 2019. We received 29, 24 and 18 valid submissions received for the three competition tasks, respectively. This report presents the competition datasets, define the tasks and the evaluation protocols, offer detailed submission statistics, as well as an analysis of the submitted performance. While the tasks of text localization and recognition seem to be relatively easy to tackle, it is interesting to observe the variety of ideas and approaches proposed for the information extraction task. According to the submissions' performance we believe there is still margin for improving information extraction performance, although the current dataset would have to grow substantially in following editions. Given the success of the SROIE competition evidenced by the wide interest generated and the healthy number of submissions from academic, research institutes and industry over different countries, we consider that the SROIE competition can evolve into a useful resource for the community, drawing further attention and promoting research and development efforts in this field.