Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Cecilia Ovesdotter Alm"'
Publikováno v:
20th International Web for All Conference.
Autor:
A'di Dust, Carola Gonzalez-Lebron, Shannon Connell, Saurav Singh, Reynold Bailey, Cecilia Ovesdotter Alm, Jamison Heard
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Publikováno v:
Comput Vis Image Underst
Experts have a remarkable capability of locating, perceptually organizing, identifying, and categorizing objects in images specific to their domains of expertise. In this article, we present a hierarchical probabilistic framework to discover the ster
Publikováno v:
Digital Threats: Research and Practice. 2:1-16
Automated journalism technology is transforming news production and changing how audiences perceive the news. As automated text-generation models advance, it is important to understand how readers perceive human-written and machine-generated content.
Autor:
Reynold Bailey, Cecilia Ovesdotter Alm
Publikováno v:
Journal for STEM Education Research. 4:95-114
Mentoring is an essential aspect of scientific research training across multiple academic career levels. In student research training contexts, mentoring is intertwined with expectations of increased autonomy and development of research confidence an
Autor:
Reynold Bailey, Cecilia Ovesdotter Alm
Publikováno v:
SIGCSE
To examine perceptions of faculty mentors of undergraduate research and their supervisors, this work discusses the results of surveys administered after 3 years of a summer CS-focused REU Site program. One survey was completed by administrators of fa
Publikováno v:
ACL/IJCNLP (1)
Technical logbooks are a challenging and under-explored text type in automated event identification. These texts are typically short and written in non-standard yet technical language, posing challenges to off-the-shelf NLP pipelines. The granularity
Autor:
Antonios Liapis, Thomas Pederson, Alberto Alvarez, Jose M. Font, Johan Salo, Cecilia Ovesdotter Alm
Publikováno v:
NordiCHI
The InvisibleAI (InvAI’20) workshop aims to systematically discuss a growing class of interactive systems that invisibly remove some decision-making tasks away from humans to machines, based on recent advances in artificial intelligence (AI), data
Publikováno v:
Journal of Vision
Despite many recent advances in the field of computer vision, there remains a disconnect between how computers process images and how humans understand them. To begin to bridge this gap, we propose a framework that integrates human-elicited gaze and
Autor:
Cecilia Ovesdotter Alm, Reynold Bailey, Natalie Maus, Dalton Rutledge, Kristen Shinohara, Sedeeq Al-khazraji
Publikováno v:
CHI Extended Abstracts
Video-based eye trackers increasingly have potential to improve on-screen magnification for low-vision computer users. Yet, little is known about the viability of eye tracking hardware for gaze-guided magnification. We employed a magnification protot