Literaturnachweis - Detailanzeige
| Autor/inn/en | Safadel, Parviz; Hwang, Scott N.; Perrin, Joy M. |
|---|---|
| Titel | User Acceptance of a Virtual Librarian Chatbot: An Implementation Method Using IBM Watson Natural Language Processing in Virtual Immersive Environment |
| Quelle | In: TechTrends: Linking Research and Practice to Improve Learning, 67 (2023) 6, S.891-902 (12 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Safadel, Parviz) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 8756-3894 |
| DOI | 10.1007/s11528-023-00881-7 |
| Schlagwörter | Librarians; Electronic Learning; Computer Simulation; Computer Mediated Communication; Artificial Intelligence; User Satisfaction (Information); Attitudes; Users (Information); Natural Language Processing; Program Implementation; Man Machine Systems; Computer Attitudes; Access to Information; Technology Integration |
| Abstract | This paper presents a novel implementation of a three-dimensional Virtual Librarian Chatbot using IBM Watson artificial intelligence technology and virtual reality. In this method, participants interact with virtual librarian chatbots by asking specific questions about the library system. This research investigated the factors used in the Technology Acceptance Model, mainly Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment, Intention to Use, and Curiosity, to examine the effectiveness of the suggested Virtual Librarian Chatbot. These results highlight the potential for integrating Virtual Librarian Chatbots in academic libraries to enhance user experience, support remote learning and research, and streamline library services. The successful implementation of such chatbots could transform user interactions with academic libraries in the digital age, offering instant access to information and reducing the workload of human librarians. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
Literaturbeschaffung und Bestandsnachweise in Bibliotheken prüfen
Permalink als QR-Code
Inhalt auf sozialen Plattformen teilen (nur vorhanden, wenn Javascript eingeschaltet ist)
Teile diese Seite:
