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Usability of affective interfaces for a digital arts tutoring system

Author

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  • Hao-Chiang Koong Lin
  • Nian-Shing Chen
  • Rui-Ting Sun
  • I-Hen Tsai

Abstract

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.

Suggested Citation

  • Hao-Chiang Koong Lin & Nian-Shing Chen & Rui-Ting Sun & I-Hen Tsai, 2014. "Usability of affective interfaces for a digital arts tutoring system," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(2), pages 105-116, February.
    • Handle: RePEc:taf:tbitxx:v:33:y:2014:i:2:p:105-116
    DOI: 10.1080/0144929X.2012.702356
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