Ilja Nastjuk
Biographic Data
| ID | 9529385 |
|---|---|
| NAME | Ilja Nastjuk |
| GIVEN NAMES | Ilja |
| FAMILY NAME | Nastjuk |
| SIGNATURE | NASTJUK I |
| AFFILIATIONS | International Education Specialist College |
| ORCID | 0000-0001-9543-8280 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unveiling the hidden layer
This study investigates whether explainable AI (XAI), although intended to improve calibrated reliance in augmented decision-making (ADM), may also increase negative consultations. In a between-subjects online experiment ( n = 200), participants completed a price classification task supported by AI, while we manipulated the presence of local feature-based explanations. Drawing on dual-process theory as an interpretive lens, we conceptualize expla…
What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective
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 technolo…
No prominent works on this page.
What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective
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 technolo…
Unveiling the hidden layer
This study investigates whether explainable AI (XAI), although intended to improve calibrated reliance in augmented decision-making (ADM), may also increase negative consultations. In a between-subjects online experiment ( n = 200), participants completed a price classification task supported by AI, while we manipulated the presence of local feature-based explanations. Drawing on dual-process theory as an interpretive lens, we conceptualize expla…
Ambivalence (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Cognition (1 works) · Computer Science (1 works) · Decision-Making and Behavioral Economics (1 works) · Engineering (1 works) · Human-Automation Interaction and Safety (1 works) · Human–computer interaction (1 works)