The Effect of Augmented Reality and Privacy Priming in a Fashion-Related App
An Application of Technology Acceptance Model
Datos Bibliográficos
| ID | 22004591 |
|---|---|
| Autores | Yoori Hwang (Myongji University), Hana Shin (Korea University), Kayoung Kim (0000-0002-8847-9620, Korea University), Seon Hye Jeong (0000-0003-2411-5649, Korea University, autor de correspondencia) |
| Año | 2023 |
| Volumen | 26 |
| Número | 3 |
| Páginas | 214-220 |
| Fecha de publicación | 2023-03-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Cyberpsychology Behavior and Social Networking (JOURNAL) |
| Identificadores de la revista | ISSN: 2152-2715 • E-ISSN: 2152-2723 |
| Editorial | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1089/cyber.2022.0071 |
| PMID | 36827589 |
| OpenAlex | W4321765730 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 45 |
In this research, we tested (a) the effects of augmented reality (AR) and (b) how the effects of AR could be moderated by privacy perceptions. We used a 2 eyewear app type (AR vs. non-AR) by 2 privacy priming (prime vs. no prime) between-subject experimental design, and 114 Korean adults participated in the experiment. Results showed that AR had a main effect on perceived ease of use but not on perceived usefulness. Instead, the effect of AR on perceived usefulness was moderated by privacy priming such that the positive effect of AR on perceived usefulness was weaker when privacy concern was salient. Moreover, the results provided support for a moderated mediation model in which the indirect effect of AR on intent to use the app via perceived usefulness was moderated by privacy priming. Theoretical and practical implications are discussed
Advertising · Augmented reality · Eyewear · Human–computer interaction · Mediation · Moderated mediation · Perception · Salient · Computer Science · Consumer Perception and Purchasing Behavior · Privacy, Security, and Data Protection · Psychology · Social Psychology · Technology Adoption and User Behaviour · Artificial Intelligence
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| Obras citantes distintas | 4 |
|---|---|
| Citas por año | 2 |
| Intervalo de citas | 2024 - 2026 (3) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |