Abstract
This paper presents AngryEmail, an e-mail tool that adapts its behavior according to the user emotional state. When a user finishes writing an e-mail and clicks the send button, the e-mail is automatically analyzed to get information about the emotions reflected on it, following a lexical-based approach. If a high level of anger is detected, then the e-mail program keeps the message unsent, waits for five minutes and, afterwards, notifies the user that the e-mail will be sent one minute later. This approach allows users to reconsider the convenience of sending certain e-mails when they are noticeably angry. This can be useful for all the people in general, but especially for those with cognitive limitations, for whom emotion control is harder.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brusilovsky, P.: Adaptive hypermedia. In: Kobsa, A. (ed.) User Modeling and User Adapted Interaction, Ten Year Anniversary Issue, vol. 11(1/2), pp. 87–110 (2001)
Prodis Foundation, http://www.fundacionprodis.org/
Liu, B.: Sentiment Analysis and Subjectivity. In: Indurkhya, N., Damerau, F.J. (eds.) Handbook of Natural Language Processing, 2 edn. (2010)
Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundation and Trends in Information Retrieval 2(1-2), 1–135 (2008)
Strappavana, C., Mihalcea, R.: Learning to identify emotions in text. In: Proc. of 23th ACM Symposium on Applied Computing (SAC 2008), pp. 1556–1560. ACM Press (2008)
SAS ® Sentiment analysis, http://www.sas.com/textanalytics/sentiment-analysis/
Ortony, A., Turner, T.J.: What’s basic about basic emotions? Psychological Review 97, 315–331 (1990)
Parrott, W.: Emotions in Social Psychology. Psychology Press, Philadelphia (2001)
Zinck, A., Newen, A.: Classifying emotion: a developmental account. Synthese 161(1), 1–25 (2008), doi:10.1007/s11229-006-9149-2
Rodriguez, P., Ortigosa, A., Carro, R.M.: Extracting Emotions from Texts in E-learning Environments. In: Procs. of 2nd Int. Workshop on Adaptive Learning via Interactive, Collaborative and Emotional approaches, Palermo, Italy (July 4-6, 2012)
Ballesteros, F., Guardiola, G., Soriano, E.: Octopus: An Upperware Based System for Building Personal Pervasive Environments. Journal of Systems and Software 85(7), 1637–1649 (2012) ISSN 0164-1212
Martín, J.M., Ortigosa, A., Carro, R.M.: SentBuk: Sentiment analysis for e-learning environments. In: Proceedings of the XIV Simposio Internacional de Informática Educativa (SIIE 2012), Andorra (October 29-31, 2012)
Martín, E., Carro, R.M.: Supporting the Development of Mobile Adaptive Learning Environments: A Case Study. IEEE Trans. on Learning Technologies 2(1), 23–36 (2009)
Carro, R.M., Haya, P.A., González, A.: Where Should I Go? Guiding Users with Cognitive Limitations through Mobile Devices Outdoors. In: Proceedings of the International Conference Interaccion 2012, Elche, Spain, October 3-5 (2012)
Rojahn, J., Rabold, D.E., Schneider, F.: Emotion specificity in mental retardation. American Journal on Mental Retardation 99, 477–486 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Carro, R.M., Ballesteros, F.J., Ortigosa, A., Guardiola, G., Soriano, E. (2012). AngryEmail? Emotion-Based E-mail Tool Adaptation. In: Bravo, J., Hervás, R., Rodríguez, M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_54
Download citation
DOI: https://doi.org/10.1007/978-3-642-35395-6_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35394-9
Online ISBN: 978-3-642-35395-6
eBook Packages: Computer ScienceComputer Science (R0)