Affective Content Analysis
The Affective Content Analysis workshop was conducted as
an interdisciplinary platform to stimulate cross-disciplinary
discussions on affect in content and to more deeply involve
the AI and ML community in the open problems in affective
content analysis, with a special focus on affect in language
and text. Affective content analysis in this context refers to
the interdisciplinary research space of computational lin-
guistics, psycholinguistics, consumer psychology, and
human-computer interaction (HCI) with respect to the vari-
ous forms of online communication. The number of work-
shops and conferences related to affective computing has
been growing, which points to the importance of the
research problem, as well as the timeliness of this workshop
for the AI community.
Affective computing has traditionally focused on modeling
human reactions using multimodal sensor data, but not text.
Reports of the Workshops
of the 32nd AAAI Conference
on Artificial Intelligence
Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi,
Sebastien Gaboury, Christopher Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren,
Roni Khardon, Parisa Kordjamshidi, David Martinez, Nicholas Mattei,
Martin Michalowski, Reuth Mirsky, Joseph Osborn, Cem Sahin,
Arash Shaban-Nejad, Onn Shehory, Amit Sheth, Ilan Shimshoni,
Howie Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava,
William Streilein, Georgios Theocharous, K. Brent Venable,
Neal Wagner, Anna Zamansky
; The AAAI- 18 workshop program
offered 15 workshops covering a wide
range of topics in AI. The workshops
were held February 2–3, 2018, at the
Hilton New Orleans Riverside in New
Orleans, Louisiana. This report contains summaries of the Affective Content Analysis workshop; the Artificial
Intelligence Applied to Assistive Technologies and Smart Environments; the
AI and Marketing Science workshop; the
Artificial Intelligence for Cyber Security
workshop; the AI for Imperfect-Information Games; the Declarative Learning Based Programming workshop; the
Engineering Dependable and Secure
Machine Learning Systems workshop;
the Health Intelligence workshop; the
Knowledge Extraction from Games
workshop; the Plan, Activity, and Intent
Recognition workshop; the Planning
and Inference workshop; the Preference
Handling workshop; the Reasoning and
Learning for Human-Machine Dialogues workshop; and the the AI
Enhanced Internet of Things Data Processing for Intelligent Applications
workshop.
