Reference author: Kerstin Dautenhahn

Chandra, S., Gupta, G., Loucks, T., & Dautenhahn, K. (2022). Opportunities for social robots in the stuttering clinic: A review and proposed scenarios Paladyn, Journal of Behavioral Robotics, 13. Retrieved from https://www.degruyter.com/document/doi/10.1515/pjbr-2022-0001/html

Jouaiti, M., & Dautenhahn, K. (2022). Multi-Label Dysfluency Classification Presented at the 24th International Conference on Speech and Computer (SPECOM 2022) conference. Gurugram, India.

Ayub, A., Nehaniv, C. L., & Dautenhahn, K. (2022). Don't Forget to Buy Milk: Contextually Aware Grocery Reminder Household Robot Presented at the Accepted for Publication in IEEE International Conference on Development and Learning conference.

Jouaiti, M., & Dautenhahn, K. (2022). Dysfluency Classification in Speech using a Biological Sound Perception Model Presented at the Accepted for Publication in International Conference on Soft Computing & Machine Intelligence (ISCMI 2022), conference.

Jouaiti, M., & Dautenhahn, K. (2022). Dysfluency Classification in Stuttered Speech Using Deep Learning for Real-Time Applications Presented at the International Conference on Acoustics, Speech, & Signal Processing (ICASSP2022 conference.

Kothig, A., Aroyo, A. M., & Dautenhahn, K. (2022). An Embodied Approach for Joint Action Collaboration with Humanoid Robots Presented at the HRI 2022 Workshop on Joint Action, Adaptation, and Entrainment in Human-Robot Interaction conference. Retrieved from https://sites.google.com/view/hri2022jaae/accepted-papers?authuser=0

Fan, K., Jouaiti, M., Nehaniv, C. L., & Dautenhahn, K. (2022). Fuzzy Object Ambiguity Determination and Human Attention Assessment for Domestic Service Robots Presented at the Accepted for Publication in International Conference on Soft Computing & Machine Intelligence (ISCMI 2022) conference.

Jouaiti, M., & Dautenhahn, K. (2022). Harnessing Uncertainty - Multi-Label Dysfluency Classification with Uncertain Labels Presented at the 24th International Conference on Speech and Computer (SPECOM 2022) conference. Gurugram, India.

Aliasghari, P., Ghafurian, M., Nehaniv, C. L., & Dautenhahn, K. (2023). How Do We Perceive Our Trainee Robots? Exploring the Impact of Robot Errors and Appearance when Performing Domestic Physical Tasks on Teachers Trust and Evaluations ACM Transactions on Human-Robot Interaction.

Scheunemann, M., Salge, C., Polani, D., & Dautenhahn, K. (2022). Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction, Adaptive Behavior N/A, 30. https://doi.org/https://doi.org/10.1177/10597123211066153