Design and Implementation of ErgoIdentifier: A Tool for Automated Identification of Websites Interaction Elements

Author(s):  
Oscar Francisco dos Santos ◽  
Marcelo Morandini
2015 ◽  
Vol 24 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Stephen N. Calculator

Purpose To provide an overview of communication characteristics exhibited by individuals with Angelman Syndrome (AS) and special considerations associated with the design and implementation of augmentative and alternative communication (AAC) programs. Method Results of recent studies exploring individuals' uses of AAC are reviewed, with particular emphasis on factors related to individuals' acceptance and successful uses of AAC systems. Results Not applicable Conclusion Despite their inconsistent access to practices previously found to foster individuals' acceptance of AAC systems, individuals with AS demonstrate the ability to use AAC systems, including high-tech AAC devices, successfully.


Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.


2017 ◽  
Author(s):  
Alicia Papas ◽  
Anthony D. LaMontagne ◽  
Allison J. Milner ◽  
Amanda Allisey ◽  
Andrew J. Noblet ◽  
...  

2015 ◽  
Vol 6 (4) ◽  
pp. 171-184
Author(s):  
Liangbo Xie ◽  
Jiaxin Liu ◽  
Yao Wang ◽  
Chuan Yin ◽  
Guangjun Wen

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