@inproceedings{KendrickFrohnmaierGeorges2021, author = {Kendrick, Caroline and Frohnmaier, Mariano and Georges, Munir}, title = {Audio-Visual Recipe Guidance for Smart Kitchen Devices}, booktitle = {ICNLSP 2021: Proceedings of the 4th International Conference on Natural Language and Speech Processing}, publisher = {ACL}, address = {Stroudsburg}, isbn = {978-1-955917-18-6}, doi = {https://aclanthology.org/2021.icnlsp-1.30}, pages = {257 -- 261}, year = {2021}, language = {en} } @thesis{Kendrick2023, author = {Kendrick, Caroline Grace}, title = {Investigating the impact of AI explanation on users' experience of control during cooperative driving}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-43198}, pages = {50, XIII}, year = {2023}, abstract = {As automated driving becomes a closer reality for consumers, accurate understandings of user behavior with and perceptions of automated vehicles are needed. This work investigates the effect of the level of explanation used in automated driving on an individual's perception of control. Two explore this question, two studies were carried out. The first study (N = 26) was an online survey that measured Locus of Control and Desire to Intervene in relation to automated driving scenarios. A second study was conducted based on the design of the first. This VR Simulation ( N = 14) enabled the level of AI explanation to be tested in a semi-realistic scenario and evaluated levels of explanation in relation to Locus of Control and Desire to Intervene. The first study found no significant between Locus of Control and Desire to Intervene. The second study found a significant difference between the How and Why, and Baseline conditions. Qualitative findings of both studies suggest a framework for why participants desire to intervene in automated driving scenarios.}, language = {en} }