Hugo Liu
ABSTRACT
This paper presents a novel way for assessing the affective qualities of natural language and a scenario for its use. Previous approaches to textual affect sensing have employed keyword spotting, lexical affinity, statistical methods, and hand-crafted models. This paper demonstrates a new approach, using large-scale real-world knowledge about the inherent affective nature of everyday situations (such as "getting into a car accident") to classify sentences into "basic" emotion categories. This commonsense approach has new robustness implications.Open Mind Commonsense was used as a real world corpus of 400,000 facts about the everyday world. Four linguistic models are combined for robustness as a society of commonsense-based affect recognition. These models cooperate and compete to classify the affect of text. Such a system that analyzes affective qualities sentence by sentence is of practical value when people want to evaluate the text they are writing. As such, the system is tested in an email writing application. The results suggest that the approach is robust enough to enable plausible affective text user interfaces.
- Bates, J. The Role of Emotion in Believable Agents. Communications of the ACM. 37(7), 1994, pp. 122--125. Google Scholar
Digital Library
- Dyer, M.G. Emotions and Their Computations: Three Computer Models. Cognition and Emotion, Vol. 1, No. 3, 323--347, 1987.Google ScholarCross Ref
- Ekman, P. Facial expression of emotion. American Psychologist, 48, 384--392. 1993.Google ScholarCross Ref
- Elliott, C. The Affective Reasoner: A Process Model of Emotions in a Multi-agent System. PhD thesis, Northwestern University, May 1992. The Institute for the Learning Sciences, Technical Report No. 32. Google ScholarDigital Library
- Goertzel, B., Silverman, K., Hartley, C., Bugaj, S., and Ross, M. The Baby Webmind Project. Proceedings of AISB 2000.Google Scholar
- James, W. What is an emotion? In C. Calhoun & R. C. Solomon (Eds.), What is an emotion? Classic readings in philosophical psychology (pp. 127-141). New York: Oxford University Press. 1984.Google Scholar
- Lenat, D.B. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33--38, 1995. Google ScholarDigital Library
- Liu, H., Lieberman, H., and Selker, T. Automatic Affective Feedback in an Email Browser. MIT Media Lab Software Agents Group Technical Report. November, 2002. At: http://web.media.mit.edu/~hugo/.Google Scholar
- Minsky, M. The Emotion Machine. Pantheon, not yet available in hardcopy. Drafts available: http://web.media.mit.edu/~minsky/.Google Scholar
- Mueller, E.T. ThoughtTreasure: A natural language/commonsense platform (Online). http://www.signiform.com/tt/htm/overview.htm. 1998.Google Scholar
- Nass, C.I., Stener, J.S., and Tanber, E. Computers are social actors. In Proceedings of CHI 94, (Boston, MA), pp. 72--78, April 1994. Google ScholarDigital Library
- Ortony A., Clore, G. L., and Collins, A. The cognitive structure of emotions. New York: Cambridge University Press. 1988Google Scholar
- Picard, R. W., Affective Computing, The MIT Press, Mass., 1997. Google ScholarDigital Library
- Singh, P., The public acquisition of commonsense knowledge. Proceedings of AAAI Spring Symposium. Palo Alto, CA, AAAI. 2002.Google Scholar
Index Terms
- A model of textual affect sensing using real-world knowledge
Recommendations
A cognitively based approach to affect sensing from text
IUI '06: Proceedings of the 11th international conference on Intelligent user interfacesStudying the relationship between natural language and affective information as well as assessing the underpinned affective qualities of natural language are becoming crucial for improving human computer interaction. Different approaches have already ...
“I See You”: Comparing the Effects of Affective Empathy and Cognitive Empathy on Drivers' Affective States and Driving Behavior in Frustrating Driving Contexts.
AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular ApplicationsDespite extensive analysis into the relationship between emotion and driving, the effects of empathy on driving remain less explored. This paper focuses on the role of empathy, particularly cognitive and affective empathy, as a potential mitigator of ...
Expressing emotions as emoticons for online intelligent agents
HCI '16: Proceedings of the 30th International BCS Human Computer Interaction Conference: Fusion!Without emotional annotation, online communication can be ambiguous and lead to misunderstandings. This paper addresses the questions of which emotions are commonly expressed online, how these emotions can be encapsulated in emoticons, and how people ...
Comments