Potential Factors and Satisfaction of Readers in Social Reading Using Other's Comments
Author:
Affiliation:
1. Graduate School of Software and Information Science, Iwate Prefectural University
Publisher
Japan Society of Kansei Engineering
Link
https://www.jstage.jst.go.jp/article/ijae/19/2/19_IJAE-D-19-00013/_pdf
Reference6 articles.
1. 11. Yamanishi, R., Sugihara, K., Inoue, R., and Matsushita, M.; Extraction of Kansei highlight from comic using social data, International Journal of Affective Engineering, 14(1), pp.155-162, 2015.
2. 13. Ribière,, M., Picault, J., and Squedin, S.; The sBook: Towards social and personalized learning experiences, BooksOnline ‘10 Proceedings of the Third Workshop on Research Advances in Large Digital Book Repositories and Complementary Media, pp.3-8, 2010.
3. 14. Matsumura, K., Nunokawa, H., and Sato, K.; The evaluation of affective impression of social reading system using others’ comments, International Symposium on Affective Science and Engineering, ISASE2019, 5, pp.1-4, 2019.
4. 17. Logan, S., and Johnston, R.; Gender differences in reading ability and attitudes: examining where these differences lie, Journal of Research in Reading, 32(2), pp.199-214, 2009.
5. 19. Tri-Agif, I., Noorhidawati, A., and Ghalebandi, G.; Continuance intention of using ebook among higher education students, Malaysian Journal of Library & Information Science, 21(1), pp.19-33, 2016.
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1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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