Reference author: Chrystopher Nehaniv

Aliasghari, P., Dautenhahn, K., & Nehaniv, C. L. (2020). Simulations on Herding a Flock of Birds Away from an Aircraft using an Unmanned Aerial Vehicle Presented at the ALIFE: The Conference on Artificial Life conference.

Foerster, F., Dautenhahn, K., & Nehaniv, C. L. (2020). Towards Scalable Measures of Quality of Interaction: Motor Interference ACM Transactions on Human-Robot Interaction.

Förster, F., Saunders, J., Lehmann, H., & Nehaniv, C. L. (2019). Robots Learning to Say No : Prohibition and Rejection in Acquisition of Linguistic Negation ACM Transactions on Human-Robot Interaction.

Förster, F., Nehaniv, C. L., & Saunders, J. (2018). Robots that Say No : Affective Symbol Grounding and the Case of Intent Interpretations IEEE Transactions on Cognitive and Developmental Systems.

Aliasghari, P., Ghafurian, M., Nehaniv, C. L., & Dautenhahn, K. (2021). Effect of Domestic Trainee Robots' Errors on Human Teachers' Trust Presented at the IEEE RO-MAN conference.

Aliasghari, P., Ghafurian, M., Nehaniv, C. L., & Dautenhahn, K. (2021). Effects of Gaze and Arm Motion Kinesics on a Humanoid's Perceived Confidence, Eagerness to Learn, and Attention to the Task in a Teaching Scenario Presented at the ACM/IEEE/International/Conference/on/Human-Robot/Interaction conference.

Aliasghari, P., Ghafurian, M., Nehaniv, C. L., & Dautenhahn, K. (2021). How Do Different Modes of Verbal Expressiveness of a Student Robot Making Mistakes Impact Human Teachers' Intention to Use the Robot? Presented at the Accepted for Publication in Proceedings HAI ’21: The Ninth International Conference on Human-Agent Interaction conference.

Aliasghari, P., Ghafurian, M., Nehaniv, C. L., & Dautenhahn, K. (2021). Impact of Nonverbal Robot Behaviour on Human Teachers Perceptions of a Learner Robot Interaction Studies, 22. Retrieved from https://www.jbe-platform.com/content/journals/10.1075/is.20036.ali

Shaghaghi, S., Hamid, O., & Nehaniv, C. L. (2021). Valentino Braitenberg's Table: Downhill Innovation of Vehicles via Darwinian Evolution Presented at the Advances in Computational Collective Intelligence conference. Springer.

Hamid, O., Dautenhahn, K., & Nehaniv, C. L. (2020). Engineering Social Learning Mechanisms for Minimalistic Multi-agent Robots