neonion: Combining Human and Machine Intelligence .
Müller-Birn, Claudia; Klüwer, Tina; Breitenfeld, André; Schlegel, Alexa; Benedix, Lukas – 2015
The reading of text resources in scholarly settings can take various forms. Each form provides scholars with different insights that complement each other. The first findings from an ongoing series of interviews on scholarly annotation practices suggest that users are aware of the various forms of reading, but they are reluctant to use automatic annotations and still rely on conventional tools. In this paper, we introduce a prototype of annotation software that aims to interrelate different types of reading synergistically by employing a mixed-initiative approach.
Title
neonion: Combining Human and Machine Intelligence .
Author
Müller-Birn, Claudia; Klüwer, Tina; Breitenfeld, André; Schlegel, Alexa; Benedix, Lukas
Publisher
ACM
Location
New York, NY
Keywords
neonion
Date
2015
Identifier
10.1145/2685553.2699012
Source(s)
Appeared in
Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing : CSCW '15 Companion
Type
Text
BibTeX Code
@inproceedings{10.1145/2685553.2699012,
author = {M\"{u}ller-Birn, Claudia and Kl\"{u}wer, Tina and Breitenfeld, Andr\'{e} and Schlegel, Alexa and Benedix, Lukas},
title = {Neonion: Combining Human and Machine Intelligence},
year = {2015},
isbn = {9781450329460},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2685553.2699012},
doi = {10.1145/2685553.2699012},
abstract = {The reading of text resources in scholarly settings can take various forms. Each form provides scholars with different insights that complement each other. The first findings from an ongoing series of interviews on scholarly annotation practices suggest that users are aware of the various forms of reading, but they are reluctant to use automatic annotations and still rely on conventional tools. In this paper, we introduce a prototype of annotation software that aims to interrelate different types of reading synergistically by employing a mixed-initiative approach.},
booktitle = {Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing},
pages = {223–226},
numpages = {4},
keywords = {annotation, reading, mixed-initiative approach, digital humanities},
location = {Vancouver, BC, Canada},
series = {CSCW'15 Companion}
}
author = {M\"{u}ller-Birn, Claudia and Kl\"{u}wer, Tina and Breitenfeld, Andr\'{e} and Schlegel, Alexa and Benedix, Lukas},
title = {Neonion: Combining Human and Machine Intelligence},
year = {2015},
isbn = {9781450329460},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2685553.2699012},
doi = {10.1145/2685553.2699012},
abstract = {The reading of text resources in scholarly settings can take various forms. Each form provides scholars with different insights that complement each other. The first findings from an ongoing series of interviews on scholarly annotation practices suggest that users are aware of the various forms of reading, but they are reluctant to use automatic annotations and still rely on conventional tools. In this paper, we introduce a prototype of annotation software that aims to interrelate different types of reading synergistically by employing a mixed-initiative approach.},
booktitle = {Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing},
pages = {223–226},
numpages = {4},
keywords = {annotation, reading, mixed-initiative approach, digital humanities},
location = {Vancouver, BC, Canada},
series = {CSCW'15 Companion}
}