SECTION: Features
Novel wearable computing devices challenge our perception of what is socially acceptable. Research in human-computer interaction asks, "What makes a wearable socially acceptable?" and provides insights that may help designers and developers design for social acceptability.
By Marion Koelle, January 2023
PDF | HTML | In the Digital Library
In order for robots to become integrated into society, we need to be able to prove that robots do their jobs reliably. Robot benchmarking competitions in smart cities offer a glimpse into our future.
By Matthew Studley, Valentina Presutti, Daniele Nardi, Sarah Carter, April 2022
PDF | HTML | In the Digital Library
Why we need to study machine learning fairness, even in an increasingly unfair world.
By Deborah Raji, April 2019
PDF | HTML | In the Digital Library
Based on a cooperative research project, this article explores the experience of dating online with a disability, contextualized with an overview of the historical connection between disability and asexuality. It concludes with ideas for decoupling this inaccurate association through online dating platforms.
By Cynthia L. Bennett, December 2017
PDF | HTML | In the Digital Library
SECTION: Features
While many organizations turn to human computation labor markets for jobs with black-or-white solutions, there is vast potential in asking these workers for original thought and innovation.
By Aniket Kittur, December 2010
PDF | HTML | In the Digital Library
Computational semantics has become an interesting and important branch of computational linguistics. Born from the fusion of formal semantics and computer science, it is concerned with the automated processing of meaning associated with natural language expressions [2]. Systems of semantic representation, hereafter referred to as semantic formalisms, exist to describe meaning underlying natural language expressions. To date, several formalisms have been defined by researchers from a number of diverse disciplines including philosophy, logic, psychology and linguistics. These formalisms have a number of different applications in the realm of computer science. For example, in machine translation a sentence could be parsed and translated into a series of semantic expressions, which could then be used to generate an utterance with the same meaning in a different language [14]. This paper presents two existing formalisms and examines their user-friendliness. Additionally, a new form of semantic representation is proposed with wide coverage and user-friendliness suitable for a computational linguist.
By Craig Thomas, December 2008
PDF | HTML | In the Digital Library