| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | VR in nursing education : high-fidelity vs low-fidelity implementations |
| Authors: | Seiler, Roger Lemcke, Benjamin Block, Andreas |
| et. al: | No |
| Proceedings: | Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022 |
| Editors of the parent work: | Weghorn, Hans Isaias, Pedro |
| Page(s): | 87 |
| Pages to: | 94 |
| Conference details: | 19th International Conference on Applied Computing (AC), Lisbon, Portugal, 8-10 November 2022 |
| Issue Date: | 2022 |
| Publisher / Ed. Institution: | IADIS Press |
| ISBN: | 978-989-8704-44-3 |
| Language: | English |
| Subjects: | High fidelity; Low fidelity; Nursing education; Technology Acceptance Model (TAM); Virtual reality; Trust |
| Subject (DDC): | 006: Special computer methods 610.73: Nursing |
| Abstract: | With nursing personnel in short supply, innovative approaches to teaching such as the use of virtual reality (VR) can be one way to attract more students to this field. The beneficial effects of VR in terms of customer motivation, satisfaction, and loyalty suggest that the application of VR application is also feasible in learning settings. However, the implementation of VR software can be expensive. This paper compares a high-interaction fidelity approach (complex and costly implementation) and a low-fidelity approach (a simple and less costly prototype). An experiment with nursing students was conducted to compare the two approaches regarding their effect on self-efficacy, perceived ease of use, perceived usefulness, trust, and intention to use. No relevant or significant differences between high- vs low-interaction fidelity implementation were found. Therefore, we recommend low fidelity approaches to VR use in delivering basic nursing education as they are easier and less costly to implement without having a negative effect on other relevant constructs. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/27755 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Management and Law |
| Organisational Unit: | Institute of Business Information Technology (IWI) |
| Appears in collections: | Publikationen School of Management and Law |
Files in This Item:
There are no files associated with this item.
Show full item record
Seiler, R., Lemcke, B., & Block, A. (2022). VR in nursing education : high-fidelity vs low-fidelity implementations [Conference paper]. In H. Weghorn & P. Isaias (Eds.), Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022 (pp. 87–94). IADIS Press.
Seiler, R., Lemcke, B. and Block, A. (2022) ‘VR in nursing education : high-fidelity vs low-fidelity implementations’, in H. Weghorn and P. Isaias (eds) Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022. IADIS Press, pp. 87–94.
R. Seiler, B. Lemcke, and A. Block, “VR in nursing education : high-fidelity vs low-fidelity implementations,” in Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022, 2022, pp. 87–94.
SEILER, Roger, Benjamin LEMCKE und Andreas BLOCK, 2022. VR in nursing education : high-fidelity vs low-fidelity implementations. In: Hans WEGHORN und Pedro ISAIAS (Hrsg.), Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022. Conference paper. IADIS Press. 2022. S. 87–94. ISBN 978-989-8704-44-3
Seiler, Roger, Benjamin Lemcke, and Andreas Block. 2022. “VR in Nursing Education : High-Fidelity Vs Low-Fidelity Implementations.” Conference paper. In Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022, edited by Hans Weghorn and Pedro Isaias, 87–94. IADIS Press.
Seiler, Roger, et al. “VR in Nursing Education : High-Fidelity Vs Low-Fidelity Implementations.” Proceedings of the International Conferences on Applied Computing and WWW/Internet 2022, edited by Hans Weghorn and Pedro Isaias, IADIS Press, 2022, pp. 87–94.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.