“How do you know that I don't understand?” A look at the future of intelligent tutoring systems.
Many software systems would significantly improve performance if they could adapt to the emotional state of the user, for example if Intelligent Tutoring Systems (ITSs), ATM's, ticketing machines could recognise when users were confused, frustrated or angry they could guide the user back to remedial...
| Publicado en: | Computers in Human Behavior Vol. 24; no. 4; pp. 1342 - 1364 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Elsevier Science
July 2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=508077232&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508077232 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: July 2008 vid: 24 iid: 4 pid: 2410 pub: Elsevier Science artinfo: ui: 508077232 10.1016/j.chb.2007.07.008 ppf: 1342 ppct: 22 formats: tig: atl: “How do you know that I don't understand?” A look at the future of intelligent tutoring systems. aug: au: Sarrafzadeh, Abdolhossein Alexander, Samuel Dadgostar, Farhad Fan, Chao Bigdeli, Abbas su: Emotions Computers in education Tutors & tutoring Human-computer interaction sug: subj: Emotions Computers in education Tutors & tutoring Human-computer interaction keyword: Computers -- Educational use ab: Many software systems would significantly improve performance if they could adapt to the emotional state of the user, for example if Intelligent Tutoring Systems (ITSs), ATM's, ticketing machines could recognise when users were confused, frustrated or angry they could guide the user back to remedial help systems so improving the service. Many researchers now feel strongly that ITSs would be significantly enhanced if computers could adapt to the emotions of students. This idea has spawned the developing field of affective tutoring systems (ATSs): ATSs are ITSs that are able to adapt to the affective state of students. The term “affective tutoring system” can be traced back as far as Rosalind Picard's book Affective Computing in 1997. This paper presents research leading to the development of Easy with Eve, an ATS for primary school mathematics. The system utilises a network of computer systems, mainly embedded devices to detect student emotion and other significant bio-signals. It will then adapt to students and displays emotion via a lifelike agent called Eve. Eve's tutoring adaptations are guided by a case-based method for adapting to student states; this method uses data that was generated by an observational study of human tutors. This paper presents the observational study, the case-based method, the ATS itself and its implementation on a distributed computer systems for real-time performance, and finally the implications of the findings for Human Computer Interaction in general and e-learning in particular. Web-based applications of the technology developed in this research are discussed throughout the paper. Copyright (c) 2008 Elsevier Ltd. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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