What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective
Bibliographic Data
| ID | 21401445 |
|---|---|
| Authors | Ilja Nastjuk (0000-0001-9543-8280, University of Göttingen, corresponding author), Bernd Herrenkind (0000-0001-7181-5766, University of Göttingen), Mauricio Marrone (0000-0003-3896-6049, Macquarie University), Alfred Brendel (0000-0002-6511-221X, University of Göttingen), Alfred Benedikt Brendel, Lutz M Kolbe (0000-0003-4852-0040, University of Göttingen) |
| Year | 2020 |
| Volume | 161 |
| Pages | 120319 |
| Publication date | 2020-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2020.120319 |
| OpenAlex | W3087811358 |
| Language | EN |
| Citations received | 49 |
| References cited | 133 |
Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, we employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, we organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners
Business · Human–computer interaction · Knowledge management · Perception · Perspective (graphical) · Self driving · Technology Acceptance Model · Transport engineering · Usability · Artificial Intelligence · Computer Science · Engineering · Human-Automation Interaction and Safety · Psychology · Technology Adoption and User Behaviour · Transportation and Mobility Innovations
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| Unique citing works | 49 |
|---|---|
| Citations per year | 9,8 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 48 |