ـ بهرامی، ف.؛ عیسینژاد، ا. و قادرپور، ر. (1388). «تأثیر هیجانات القا شده مثبت و منفی بر شادمانی و ناراحتی پس از القای برانگیختگی منفی». مجله علوم رفتاری، دوره 3، شماره 1.
ـ مارشال ریو، ج. (1391). انگیزش و هیجان. چاپ هجدهم. ترجمه یحیی سید محمدی. تهران: انتشارات ویرایش.
- Affective Computing. (May 2008). Retrieved July 2013, from http://en .wikipedia.org/wiki/Affective_computingtime: 11:13, Date: July 8, 2013.
- Barrett, F.L. (1998). “Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus”. Boston College, Massach usetts, USA, Cognition and emotion, 1998, 12 (4), 579-599.
- Chanel, G. (2009). “Emotion assessment for affective-computing based on brain and peripheral signals”. University de geneve faculte des sciences.
- Ekman, P.; Levenson R.W. and Friesen, W.V. (1983). “Autonomic Nervous System Activity Distinguishes among Emotions ”. American Association for the Advancement of Science.
- "Fitts's Law." (2011). Wikipedia. Retrieved from http://en.wikipedia. org/wiki/Fitts's_law, time: 15:43, Date: July 10, 2013.
- Goritz, S.A. and Moser, K. (2006). “Web-based mood induction”. Psychology Press, 887. Retrieved from www.psypress. com/cogemotion.time: 12:32, Date: July 10, 2013.
- Goulev, P. and Mamdani, E. (2004). “Utilizing real time AffectiveSensors to incorporate emotions into Human Computer Interactions”. International Workshop on Wearable and implantable body sensor Netwroks, 6-7 April 2004, Imperial College, London.
- Kim K.H.; Bang S.W.; and Kim S.R. (2004). Emotion recognition system using short-term monitoring of physiological signals. Med Biol Eng Comput, Department of Biomedical Engineering, College of Health Science, Yonsei University, South Korea.
- Koelstra S.; Lee J.; Yazdani A.; Ebrahimi T.; Pun T.; Nijholt A. and Patras, I. (2012). “DEAP: A Database for Emotion Analysis using Physiological Signals”. Affective Computing, IEEE Transactions on (Volume: 3, Issue: 1).
- Maehr, W. (2005). “Emotion Estimation of the User’s Emotional State by Mouse Motions”. ITec - Information and Communication Engineering.
- Mohd, H.; Mohd H.; Norita, M.D. Norwawi, and Azizi, A.B. (2004). Affective Computing: Knowing How You Feel. The National Seminar of Science Technology and Social Science. Malaysia.
- Oliveira, A.P. And Cardoso, A. (2007). “A Computer System to Control Affective Content in Music Production”. Portuguese Conference on Artificial Intelligence.
- PAD emotional state model (2013). Retrieved from http://en.wikipedia.org /wiki/PAD_emotional_state_model time : 12:43, Date: July 12, 2013.
- Partala, T. and Surakka, V. (2004). “The Effects of Affective Interventions in Human - Computer Interaction”. Interacting with Computers, 16.
- Piolle, G. (2005). “Affective computing, software agents and online communities”. Mac Iso, Imperial College London.
- Reynolds, C. and Picard, R.W. (2001). “Designing for Affective Inter actions”. Proceedings from the 9th International Conference on Human-ComputerInteraction.
- Robinson, J.O.; Grillon, C. and Sahakian, J.B. (2012). “The Mood Induction Task: A standardized, computerized laboratory procedure for altering mood state in humans”. Protocol Exchange.
- Rodrigues, M.; Fdez-Riverola, F. and Novais, P. (2011). “Moodle and Affective Computing - Knowing Who´s on the Other Side”. 10th European Conference on e-Learning, (University of Brighton, Brighton, UK 10-11 November 2011).
- Rottenberg, J.; Ray, R.D. and Gross, J.J. (2007). Emotion elicitation using films. In J.A. Coan & J.J.B. Allen (Eds.), the handbook of emotion elicitation and assessment. London: Oxford University Press.
- Sanders, J. and Goldstein, B. (1995, October). “Skin response to mechanical stress: Adaptation rather than breakdown-a review of the literature”. Journal of Rehabilitation Research & Development; Oct 95, Vol. 32 Issue 3, p214.
- Siska, F. and Leon, J.M. Rothkrantz (2006). “Constructing Knowledge for Automated Text-Based Emotion
Expressions”. InternationalConference on Computer Systems and Technologies -CompSysTech’06.
- Smallwood, J. and O'Connor, R.C. (2011). “Imprisoned by the past: unhappy moods lead to a retrospective bias to mind wandering”. Department of Social Neuroscience, University of California, Santa Barbara, CA, USA. Cognition and Emotion (impact factor: 2.52). 03/2011; 25(8):1481-90.
-
Thompson, N. (2012).
Development of an open affective computing environment. PhD thesis, Murdoch University.
- Wendelken, S.M.; McGrath, S.P.; Akay, M. and Blike, G.T. (2004). Using a forehead reflectance pulse oximeter to detect changes in sympathetic tone. Conf Proc IEEE Eng Med Biol Soc, Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA.
- Whang, M. and Lim, J. (2008). “A Physiological Approach to Affective Computing”. Sangmyung University Seoul, Korea: InTech.
- Zavadskas, E.K. and Kaklauskas, A. (2008). “Web-Based Biometric Mouse Intelligent System for Analysis of Emotional State and Labour Productivity Analysis” . The 25’Th International Symposium on Automation and Robotics in Construction.
- Zimmermann, P.; Guttormsen, S.; Danuser, B. and Gomez, P. (2003). “Affective Computing - A Rationale for Measuring Mood with Mouse and Keyboard” . International Journal of Occupational Safety and Ergonomics (JOSE).