@thesis{Roehr2022, author = {R{\"o}hr, Tatjana}, title = {Digital companion}, subtitle = {a concept for enhancing the perceived security in shared automated vehicles (SAVs)}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-35827}, pages = {56, XXXIII}, school = {Technische Hochschule Ingolstadt}, year = {2022}, abstract = {Shared, automated vehicles (SAVs) are predicted to offer a lot of benefits, from improving the overall mobility to environmental benefits. In order to get the most out of these benefits, a high level of adaptation to the concept of SAVs is required. However, security is one major concern regarding SAVs, which negatively affects the acceptance and potentially also the future adaptation to the concept. To tackle the security issue, this thesis focuses on exploring the concept of a digital companion for SAVs, which should accompany the passengers during the ride. In summary, three pre-studies and one final study were conducted to investigate the design and implementation of a digital companion from a participants perspective. The pre-studies include a small workshop (N=6), the interim results of a survey on an automated shuttles service (N=36) and a survey (N=54) supplemented with detailed interviews (N=6). A design space for companions in video games was applied to create digital companions with different personality types, which were determined during the first pre-study. Within the main study (N=23), two final companion designs with contrasting personality types, the „Baymax" and „Robo-Cop" personality type, got compared in two different types of scenarios, which got implemented in virtual reality. The results show, that a digital companion can improve the perceived security of the passengers. Overall the Baymax companion was preferred in both scenarios. A correlation between situation and preferred personality type could not be determined.}, language = {en} } @inproceedings{SchussRoehrRiener2024, author = {Schuß, Martina and R{\"o}hr, Tatjana and Riener, Andreas}, title = {'Baymax' or 'RoboCop'? Exploring Different Feminine Avatar Personalities for Shared Automated Vehicles}, booktitle = {MuC'24: Proceedings of the 2024 Conference on Mensch und Computer}, editor = {Maedche, Alexander and Beigl, Michael and Gerling, Kathrin and Mayer, Sven}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0998-2}, doi = {https://doi.org/10.1145/3670653.3670682}, pages = {256 -- 268}, year = {2024}, language = {en} }