Eike Schneiders
Biographic Data
| ID | 7718088 |
|---|---|
| NAME | Eike Schneiders |
| GIVEN NAMES | Eike |
| FAMILY NAME | Schneiders |
| SIGNATURE | SCHNEIDERS E |
| AFFILIATIONS | University of Southampton |
| ORCID | 0000-0002-8372-1684 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Reporting Guidelines for Large Language Models in Human–Robot Interaction
The comparatively recent advent of Large Language Models (LLMs) has resulted in a wide array of new capabilities and components relevant to Human–Robot Interaction (HRI) researchers. LLMs are being applied to vision, manipulation, planning, reasoning, learning, and HRI problems, frequently as “Scarecrows,” in which LLMs serve as black box modules integrated into robot architectures for the purpose of quickly enabling full-pipeline solutions. Howe…
A User Study Evaluation of Predictive Formal Modelling at Runtime in Human-Swarm Interaction
Formal Modelling is often used as part of the design and testing process of software development to ensure that components operate within suitable bounds even in unexpected circumstances. We conducted a user study evaluation of predictive formal modelling (PFM) at runtime in a human-swarm mission to determine the benefit of PFM on performance and human-swarm interaction. A total of 180 participants were recruited to perform the role of aerial swa…
Cat Royale
No abstract available
Non-Dyadic Interaction
Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 years of works investigating non-dyadic interaction, and thereby identifying the trend of the field and future research areas, we performed a literature review containing all 164 publications (2006-2020) from the HRI conference investigating non-dyadic interaction. Our approa…
No prominent works on this page.
Non-Dyadic Interaction
Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 years of works investigating non-dyadic interaction, and thereby identifying the trend of the field and future research areas, we performed a literature review containing all 164 publications (2006-2020) from the HRI conference investigating non-dyadic interaction. Our approa…
Cat Royale
No abstract available
A User Study Evaluation of Predictive Formal Modelling at Runtime in Human-Swarm Interaction
Formal Modelling is often used as part of the design and testing process of software development to ensure that components operate within suitable bounds even in unexpected circumstances. We conducted a user study evaluation of predictive formal modelling (PFM) at runtime in a human-swarm mission to determine the benefit of PFM on performance and human-swarm interaction. A total of 180 participants were recruited to perform the role of aerial swa…
Reporting Guidelines for Large Language Models in Human–Robot Interaction
The comparatively recent advent of Large Language Models (LLMs) has resulted in a wide array of new capabilities and components relevant to Human–Robot Interaction (HRI) researchers. LLMs are being applied to vision, manipulation, planning, reasoning, learning, and HRI problems, frequently as “Scarecrows,” in which LLMs serve as black box modules integrated into robot architectures for the purpose of quickly enabling full-pipeline solutions. Howe…
Computer Science (3 works) · Artificial Intelligence (2 works) · Human–computer interaction (2 works) · Human–robot interaction (2 works) · Robot (2 works) · Social Robot Interaction and HRI (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Context-Aware Activity Recognition Systems (1 work) · Dissemination (1 work) · Human interaction (1 work)