Integrating roboticist values into a Value Sensitive Design framework for humanoid robots
Bibliographic Data
| ID | 8090169 |
|---|---|
| Authors | EunJeong Cheon (0000-0002-0515-6675, corresponding author), Norman Makoto Su (0000-0001-8765-6579) |
| Year | 2016 |
| Pages | 375-382 |
| Publication date | 2016-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI (CONFERENCE) |
| Publisher | IEEE (PUBLISHER) |
| DOI | 10.1109/hri.2016.7451775 |
| OpenAlex | W4242247308 |
| ISBN | 9781467383707 |
| Language | EN |
| Citations received | 6 |
| References cited | 32 |
A good body of work in HRI has investigated how to design humanoids to effectively serve users' needs. This user centered approach has proved fruitful, but there exists relatively little work examining the intent and values of the roboticists themselves. Furthermore, we know little of how the values of roboticists influence their own designs. Such knowledge could help designers better reflect on whether their designs effectively convey particular ethics to their users. In this study, we analyzed 27 interviews of pioneer humanoid roboticists, seeking to identify the values of such roboticists. Our results suggest that roboticists' values are shaped by a dominant engineering-based background that emphasizes robotics as a field of integration (especially humanoids). Roboticists also see robots as testbeds for learning about humans themselves. We advocate a VSD approach for humanoids that goes beyond engineering disciplines and forces values to the forefront of discussion
Field (mathematics · Human–computer interaction · Humanoid robot · Machine learning · Robot · Robotics · Value (mathematics · Work (physics · Computer Science · Engineering · Ethics and Social Impacts of AI · Innovative Human-Technology Interaction · Mathematics · Social Robot Interaction and HRI · Artificial Intelligence
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| Unique citing works | 6 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2017 - 2026 (10) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |