How deep is your trust? A comparative user requirements’ analysis of automation in medical and mobility technologies
Bibliographic Data
| ID | 22234166 |
|---|---|
| Authors | Sophia Hick (0000-0002-4027-5362, RWTH Aachen University, corresponding author), Hannah Biermann (0000-0003-1066-1788, RWTH Aachen University), Martina Ziefle (0000-0002-6105-4729, RWTH Aachen University) |
| Year | 2024 |
| Volume | 11 |
| Issue | 1 |
| Publication date | 2024-01-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Humanities and Social Sciences Communications (JOURNAL) |
| Journal identifiers | ISSN: 2662-9992 • E-ISSN: 2662-9992 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1057/s41599-023-02575-0 |
| OpenAlex | W4390669391 |
| Language | EN |
| Citations received | 1 |
| References cited | 71 |
In a changing world full of innovative technologies, trust and trust requirements are increasingly important for designing user-centred systems and ensuring their long-term implementation. In this study, we explored and compared the requirements of future users to build trust in the two contexts of medical and mobility technology by considering Ambient Assisted Living technologies (AAL) and Shared Autonomous Vehicles (SAV). We conducted an online survey study with N = 143 participants. The results show significant differences in the evaluation of individual trust requirements in the two contexts about data sharing, data privacy and security as well as customization. Using a cluster analysis, we identified distinct user groups and trust personalities in both contexts (medicine and mobility). The clusters differ in terms of innovation openness and risk readiness, initial trust, and presence of chronic illness. Correlation analyses revealed significant relationships between people’s initial perceived trust in technology in the two contexts and their assessment of trust requirements, as well as their behavioural intentions to use SAV or AAL systems. Our findings indicate that trust requirements are context-specific and influenced by individual characteristics. This knowledge can be used to inform developers and distributors of technologies to design, build, and manage systems that meet the needs of future users
Automation · Internet privacy · Knowledge management · Openness to experience · Personalization · World Wide Web · Computer Science · Engineering · Human-Automation Interaction and Safety · Privacy, Security, and Data Protection · Psychology · Technology Use by Older Adults
Trust in a specific technology
What Trust Means in E-Commerce Customer Relationships
Trust in Automation
On-line trust
Humans and Automation
Factors influencing acceptance of technology for aging in place
Foundations for an Empirically Determined Scale of Trust in Automated Systems
Trust in Automation
Trust and TAM in Online Shopping
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
A Theoretical Extension of the Technology Acceptance Model
Technology Acceptance Model 3 and a Research Agenda on Interventions
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
An Integrative Model of Organizational Trust
Toward the adoption of digital assistive technology
Mediated trust
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |