Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI
The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One
application domain is data science. New techniques in automating the creation of AI, known …
application domain is data science. New techniques in automating the creation of AI, known …
How do data science workers collaborate? roles, workflows, and tools
Today, the prominence of data science within organizations has given rise to teams of data
science workers collaborating on extracting insights from data, as opposed to individual data …
science workers collaborating on extracting insights from data, as opposed to individual data …
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems
We explore trust in a relatively new area of data science: Automated Machine Learning
(AutoML). In AutoML, AI methods are used to generate and optimize machine learning …
(AutoML). In AutoML, AI methods are used to generate and optimize machine learning …
How data scientists use computational notebooks for real-time collaboration
Effective collaboration in data science can leverage domain expertise from each team
member and thus improve the quality and efficiency of the work. Computational notebooks …
member and thus improve the quality and efficiency of the work. Computational notebooks …
How data scientistswork together with domain experts in scientific collaborations: To find the right answer or to ask the right question?
In recent years there has been an increasing trend in which data scientists and domain
experts work together to tackle complex scientific questions. However, such collaborations …
experts work together to tackle complex scientific questions. However, such collaborations …
" It doesn't win you friends" Understanding Accessibility in Collaborative Writing for People with Vision Impairments
Collaborative writing tools have become ubiquitous in today's world and are used widely in
many professional organizations and academic settings. Yet, we know little about how ability …
many professional organizations and academic settings. Yet, we know little about how ability …
Web-based collaborative writing in L2 contexts: Methodological insights from text mining
S Yim, M Warschauer - 2017 - scholarspace.manoa.hawaii.edu
The increasingly widespread use of social software (eg, Wikis, Google Docs) in second
language (L2) settings has brought a renewed attention to collaborative writing. Although …
language (L2) settings has brought a renewed attention to collaborative writing. Although …
A design space for writing support tools using a cognitive process model of writing
Improvements in language technology have led to an increasing interest in writing support
tools. In this paper we propose a design space for such tools based on a cognitive process …
tools. In this paper we propose a design space for such tools based on a cognitive process …
Promoting student engagement in online collaborative writing through a student‐facing social learning analytics tool
Abstract Background Online Collaborative Writing (OCW) has been reported to be useful to
improve writing quality in higher education. However, challenges emerge during the …
improve writing quality in higher education. However, challenges emerge during the …
AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates
Artificial Intelligence (AI) can now automate the algorithm selection, feature engineering, and
hyperparameter tuning steps in a machine learning workflow. Commonly known as AutoML …
hyperparameter tuning steps in a machine learning workflow. Commonly known as AutoML …