Visual Strategies as Infographic Modeling Course Material for Deaf Students at Universitas Sahid Surakarta
Keywords:
Icon, Infographics, Visual strategyAbstract
Since 2014 Universitas Sahid Surakarta has accepted deaf students. However, starting in 2018, communication problems emerged in the delivery of material from lecturers to deaf students. This is because: 1. 90% of deaf students in Visual Communication Design cannot read written sentences that are too long and 2. Deaf students' digital applications to translate the voice of the lecturer when explaining do not function properly. This study aims to produce icon designs for lecture material infographics for deaf students of Visual Communication Design Study Program, Universitas Sahid Surakarta and test the feasibility of the design. Therefore, the research method is carried out using qualitative methods. By using data triangulation in conducting data validation. This is done based on the problems that arise, so it is necessary to find a cause-and-effect relationship by looking at the symptoms, conditions, and phenomena that occur. The results achieved are visual strategies in the form of icons from representative words/sentences arranged to form infographics from information about lecture material. This is done because the way of understanding communication, one way of learning language for the deaf is by maximizing the sense of sight as a tool in receiving information stimuli through visual language. One of them is using visual language in the form of infographics that are formed through visual strategies according to the information needs of deaf students in the Visual Communication Design study program.
References
Apriyanti, N., Shaharom, M. S. N., Abdul Rahim, S. S., & Abdul Razak, R. (2020). Needs Analysis Of Infographic Media Using Technology for Learning Physics. Malaysian Online Journal of Educational Technology, 8(1), 48–62. https://doi.org/10.17220/mojet.2020.01.004
Atamtajani, A. S. M., Firdauzi, G. N., & Yudiarti, D. (2021). Maritime biota waste as eco-jewelry materials, potentials and possibilities. IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899x/1098/5/052030
Chi, C. F., Dewi, R. S., Samali, P., & Hsieh, D. Y. (2019). Preference ranking test for different icon design formats for smart living room and bathroom functions. Applied Ergonomics. https://doi.org/10.1016/j.apergo.2019.102891
Collaud, R., Reppa, I., Défayes, L., McDougall, S., Henchoz, N., & Sonderegger, A. (2022). Design standards for icons: The independent role of aesthetics, visual complexity and concreteness in icon design and icon understanding. Displays, 74, 102290. https://doi.org/10.1016/j.displa.2022.102290
Friedrich, M., Richards, D., & Vollrath, M. (2022). Icon Design for Representing Safety-Critical Aircraft Functions to Support Supervisory Control of Remotely Piloted Aircraft Systems. Aerospace, 9(4), 181. https://doi.org/10.3390/aerospace9040181
Lee, H. J., & Park, S. (2023). What drives the learning benefits of moving text? A theoretical discussion for learning implications of kinetic typography. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-023-01646-6
Liu, Y. C., & Chen, C. C. (2022). Studying Children’s Semantic Association for Icon Design of Book Subject Categories. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869275
Nugraha, F., Edy Mulyono, S., & Wahyudin, A. (2023). The Effectiveness of Infographic Learning Media in Increasing Learning Interest, Visual Spatial Intelligence and Student Learning Outcomes in Gugus Ahmad Yani KEC. Kuningan. International Journal of Research and Review, 10(5), 383–390. https://doi.org/10.52403/ijrr.20230545
Thiessen, M., Beier, S., & Keage, H. (2020). A Review of the Cognitive Effects of Disfluent Typography on Functional Reading. The Design Journal, 23(5), 797–815. https://doi.org/10.1080/14606925.2020.1810434
Wang, J., Yin, J., Deng, S., Li, Y., Pu, C., Tang, Y., & Luo, Z. (2018). Evaluating User Satisfaction with Typography Designs via Mining Touch Interaction Data in Mobile Reading. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–12. https://doi.org/10.1145/3173574.3173687
