Inferencing emotions through the triangulation of pupil size data, facial heuristics and self-assessment techniques

2nd International Conference on Mobile, Hybrid, and On-Line Learning, eL and mL 2010

Volumn , Issue , 2010, Pages 147-150

  Valverde, Llorenç ^a   De Lera, Eva ^a   Fernàndez, Carlos ^a  

^a UNIVERSITAT OBERTA DE CATALUNYA   (Spain)

Author keywords

Affect assessment techniques; Affective learning; Virtual learning environments

Indexed keywords

AFFECTIVE COMPUTER; AFFECTIVE LEARNING; ASSESSMENT TECHNIQUE; DATA ANALYSIS; DATA ASSESSMENT; FACIAL EXPRESSIONS; ONLINE LEARNING; PUPIL SIZE; SELF-ASSESSMENT; VIRTUAL LEARNING ENVIRONMENTS;

TRIANGULATION;

EID: 77952157919     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/eLmL.2010.37     Document Type: Conference Paper

References (4)

1. Picard RW. et al., 2004. Affective learning - a manifesto. BT Technology Journal (22), 255
2. Partala, T. and Surakka, V., 2002. Pupil size variation as an indicator of affective processing. International Journal of Human-Computer Studies, 59 (1-2), 185-198
3. Michel, P., and El Kaliouby, R., 2003. Real time facial expression recognition in video using support vector machines. In proceedings ICMI International Conference on Multimodal Interfaces 2003 (Vancouver, Canada, 2003) ACM Press, New York, NY 258-263. DOI= http://doi.acm.org/10.1145/958432.958479
4. Sang-Hoon, J., 2007. Suggestion of Methods for Understanding User's Emotional Changes While Using a Product. In Human Interface, M.J. Smith, G. Salvendy, Eds. HCII 2007, Springer-Verlag Berlin Heidelberg, 59-67