Design and application of remote-learner’s affective testing in human-computer interaction

被引：0
作者：
Wu, Gui-Feng [1 ,2 ]
Li, Sheng-Quan [1 ]
Tang, Hong-Ru [1 ]
机构：
[1] Department of Electrical Engineering, Yangzhou University, Yangzhou
[2] Institute of Psychology, Chinese Academy of Sciences, Beijing
来源：
Open Cybernetics and Systemics Journal | 2015年 / 9卷 / 01期
关键词：
Affective testing; Design and application; Human-computer interaction; Remote-learner;
D O I：
10.2174/1874110X01509011762
中图分类号：
学科分类号：
摘要：
Based on education agent application, the paper designed emotional detection model and overall schema of detection for learners. Then the paper completed personality learning monitoring for learners and defined emotional attitude, cognitive state and learning preference for learners through extraction and analysis on emotional information between education agent and learners. The paper conducted personalized learning resources service for learners by using automatically generated courses tool based on emotional detection results in order to improve human-computer interaction status in remote learning and improve overall learning effect. The paper also studied on evaluation method of human-computer interaction system and focused on the multi-objective decision-making method. Then the paper realized more accurate quantitative evaluation through evaluation of NAP on human-computer interaction. © Wu et al.
引用
收藏
页码：1762 / 1768
页数：6
相关论文
共 13 条
  • [1] Liu J., Tong J., Han J., Chen S., Yang F., Affective Computing Applications in Distance Education, The International Conference on Education Technology and Information System (ICETIS 2013), pp. 927-930, (2013)
  • [2] Shen L., Callaghan V., Shen R., Affective e-Learning in residential and pervasive computing environments, Information Systems Frontiers, 10, 4, pp. 461-472, (2008)
  • [3] Mackenzie I.S., Fitts’ law as a research and design tool in humancomputer interaction, Human-Computer Interaction, 7, 1, pp. 91-139, (1992)
  • [4] Kieras D.E., Meyer D.E., An overview of the EPIC architecture for cognition and performance with application to humancomputer interaction, Human-Computer Interaction, 12, 4, pp. 391-438, (1997)
  • [5] Brave S., Nass C., Emotion in human–computer interaction, Human-Computer Interaction, 53, pp. 81-96, (2003)
  • [6] Rossell S.L., Van Rheenen T.E., Groot C., Gogos A., O'Regan A., Joshua N.R., Investigating affective prosody in psychosis: A study using the comprehensive affective testing system, Psychiatry Research, 210, 3, pp. 896-900, (2013)
  • [7] Hedl J.J., O'Neil H.F., Hansen D.N., Affective reactions toward computer-based intelligence testing, Journal of Consulting and Clinical Psychology, 40, 2, pp. 217-222, (1973)
  • [8] Schuessler J., Burger P., Reaching the Remote Learner through Web-Conferencing: A Testimonial on using Collaboration, Self, and Peer-Assessment to Turn the Focus from Grades to Learning, Global Time, 12, 1, (2012)
  • [9] Pantic M., Leon J.M.R., Toward an affect-sensitive multimodal human-computer interaction, Proceedings of the IEEE, 91, 9, pp. 1370-1390, (2003)
  • [10] Pantic M., Sebe N., Jeffrey F., Huang T., Affective multimodal human-computer interaction, Proceedings of the 13Th Annual ACM International Conference on Multimedia. ACM, pp. 669-676, (2005)
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