John Rochford

John Rochford
University of Massachusetts Medical School | UMMS · Shriver Center

MS

About

12
Publications
1,230
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
62
Citations
Introduction
John Rochford works at the Shriver Center, University of Massachusetts Medical School. Research: artificial-intelligence virtual tutor and mass-scale Web text simplification; Web and eLearning accessibility for people with cognitive disabilities.

Publications

Publications (12)
Article
Full-text available
The Internet of things (IoT) has unlimited potential to empower the lives of everyone. IoT devices increasingly appear in homes and power smart and connected communities. Related user experience design efforts must involve and consider people with disabilities, including the world’s rapidly aging population of seniors. They must be able to use IoT...
Article
Full-text available
The Child and Adolescent Needs and Strengths (CANS) Training Program is located at the Eunice K. Shriver Center at the University of Massachusetts Medical School in Worcester, MA. The CANS Training Program provides training and certification services for the Executive Office of Health and Human Services (EOHHS), MassHealth, Children's Behavioral He...
Article
While eye tracking is gaining popularity in IS research, pupillometry is relatively less explored in IS eye tracking studies. Research however suggests that pupillometry may serve as an excellent unobtrusive measure to study user information processing behavior. The Adaptive decision making theory asserts that task demand affects information proces...
Conference Paper
Full-text available
Text simplification (TS) aims to reduce the lexical and structural complexity of a text, while still retaining the semantic meaning. Current automatic TS techniques are limited to either lexical-level applications or manually defining a large amount of rules. In this paper, we propose to simplify text from both level of lexicons and sentences. We c...
Article
Full-text available
Text simplification (TS) aims to reduce the lexical and structural complexity of a text, while still retaining the semantic meaning. Current automatic TS techniques are limited to either lexical-level applications or manually defining a large amount of rules. In this paper, we propose to simplify text from both level of lexicons and sentences. We c...
Conference Paper
Cognitive load is a major factor affecting user performance. Hence, a better understanding of cognitive load can help design better information systems. To achieve this goal, in this study we looked at the relationship between cognitive load and pupillary responses for a task that required people to either read a text passage from an actual website...
Article
Full-text available
Cognitive load is a major factor affecting user performance. Hence, a better understanding of cognitive load can help design better information systems. To achieve this goal, in this study we looked at the relationship between cognitive load and pupillary responses for a task that required people to either read a text passage from an actual website...
Article
While important information is often communicated via text, people read only a small fraction of textual content. Ignoring text is particularly prevalent among Generation Y, who prefer image-based communication and exhibit impatient viewing behavior. One way to improve the effectiveness of text-based communication for younger users is to construct...
Conference Paper
Research provides ample evidence of the impact web page design has on comprehension; and that Generation Y users are impatient and dislike reading text. Yet there has been little research that focuses on content, in particular to examine the impact of text simplification on younger users’ processing of textual information. To address this need, we...
Article
Full-text available
Text simplification (TS) is the technique of reducing the lexical, syntactical complexity of text. Existing automatic TS systems can simplify text only by lexical simplification or by manually defined rules. Neural Machine Translation (NMT) is a recently proposed approach for Machine Translation (MT) that is receiving a lot of research interest. In...

Network

Cited By

Projects

Projects (2)
Project
To cite this project: Liana Ermakova, Patrice Bellot, Pavel Braslavski, Jaap Kamps, Josiane Mothe, et al.. Text Simplification for Scientific Information Access. 43rd edition of the annual BCS-IRSG European Conference on Information Retrieval : Advances in Information Retrieval (ECIR 2021), Mar 2021, Lucca (virtual), Italy. ffhal-03121986f SimpleText: http://simpletext-project.com/ SimpleText@MADICS: https://simpletext-project.com/2021 SimpleText@INFORSID: https://simpletext-project.com/2021/inforsid/ MaDICS SimpleText page: https://www.madics.fr/ateliers/simpletext/ Email: simpletextworkshop@gmail.com Twitter: https://twitter.com/SimpletextW Google group: https://groups.google.com/g/simpletext We propose a new workshop called SimpleText which aims to create a community interested in generating a simplified summary of scientific documents and to contribute in making the science really open & accessible for everyone