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Usability of affective interfaces for a digital arts tutoring system.

Affective computing techniques have become increasingly important as advanced education technologies. By applying these techniques to education, this work designs and evaluates a novel Affective Tutoring System for the Digital Arts (ATSDAs). By semantically analysing a text with ontological referenc...

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Published in:Behaviour & Information Technology Vol. 33; no. 2; pp. 104 - 116
Main Authors: Lin, Hao-Chiang Koong, Chen, Nian-Shing, Sun, Rui-Ting, Tsai, I-Hen
Format: pictorial research tables/charts Journal Article
Published: Taylor & Francis Ltd Feb2014
Online Access:View this record in EBSCOhost
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      dt: Feb2014
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        atl: Usability of affective interfaces for a digital arts tutoring system.
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        au:
          Lin, Hao-Chiang Koong
          Chen, Nian-Shing
          Sun, Rui-Ting
          Tsai, I-Hen
        affil: Department of Information and Learning Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St,Tainan, 700Taiwan
      sug:
        subj:
          Emotions
          Teaching Methods
          User-Computer Interface
          Computer Graphics Education
          Human
          Affect
          Language
          Questionnaires
          Adolescence
          Adult
          Female
          Male
          Semi-Structured Interview
          Grounded Theory
          Taiwan
          Funding Source
          Adolescent: 13-18 years
          Adult: 19-44 years
          Female
          Male
      ab: Affective computing techniques have become increasingly important as advanced education technologies. By applying these techniques to education, this work designs and evaluates a novel Affective Tutoring System for the Digital Arts (ATSDAs). By semantically analysing a text with ontological references, the emotions induced by a text when input by a user are identified. Inference of emotions is accomplished using OMCSNet and WordNet, two engines commonly used in computational linguistics research. The proposed system has a visual agent that provides text feedback based on inferred emotions from textual analysis. The proposed system has a conscientious design flow that includes concept modelling, prototype design, expert-based evaluation (which consists of a cognitive walkthrough and heuristic evaluation), final system design and a series of evaluations from a learner's perspective. The System Usability Scale (SUS) evaluation results show that this system achieves positive usability and learners enjoy interacting with the proposed system.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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