@JOUR{10557749,
  author={Sievers, Thomas and Russwinkel, Nele},
  booktitle={KI - Künstliche Intelligenz}, 
  title={Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector}, 
  year={2024},
  volume={37},
  number={2-4},
  pages={},
  keywords={Human-robot interaction;Social robotics;Public sector;ACT-R},
  doi={10.1007/s13218-024-00840-1}}

@INPROCEEDINGS{BeBrMoGe,
author ={Magnus Bender and Tanya Braun and Ralf M\"oller and Marcel Gehrke},
title ={ReFrESH – Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions},
booktitle ={18th {IEEE} International Conference on Semantic Computing, ({ICSC} 2024), February 5-7},
year ={2024},
pages = {17--24},
publisher = {{IEEE}},
url = {https://dx.doi.org/10.1109/ICSC59802.2024.00010}
}

@book{SemanticIntelligence2023,
 title = {Semantic Intelligence},
 editor = {Sarika Jain and Sven Groppe and Bharat K. Bhargava},
 year = {2023},
 publisher = {Springer Nature Singapore},
 url = {https://doi.org/10.1007/978-981-19-7126-6}
}

@article{BeBrMoGe24,
author={Magnus Bender and Tanya Braun and Ralf M\"oller and Marcel Gehrke},
title={Unsupervised Estimation of Subjective Content Descriptions in an Information System},
journal = {International Journal of Semantic Computing},
volume= {18},
number={1},
pages= {},
year={2024},
doi  = {}
}

@InProceedings{10.1007/978-981-96-3525-2_2,
author="Baake, Edgar
and K{\"o}nig, Florian
and Pott, Claudius
and Sievers, Thomas
and Heine, Moreen",
editor="Palinko, Oskar
and Bodenhagen, Leon
and Cabibihan, John-John
and Fischer, Kerstin
and {\v{S}}abanovi{\'{c}}, Selma
and Winkle, Katie
and Behera, Laxmidhar
and Ge, Shuzhi Sam
and Chrysostomou, Dimitrios
and Jiang, Wanyue
and He, Hongsheng",
title="User Experience Comparison of a Social Robot vs. Info Terminal in Citizen Services",
booktitle="Social Robotics",
year="2025",
publisher="Springer Nature Singapore",
address="Singapore",
pages="12--23",
abstract="This study evaluates user experiences with the social robot Pepper, compared to a traditional info terminal in providing citizen services. The study, carried out with 37 participants at various institutions in L{\"u}beck, Germany, aims to assess the effectiveness, efficiency, and satisfaction of these two methods in providing information and assistance within a public service setting. The study controls for age, gender, and affinity for technology while measuring customer experience using the Short Version of the User Experience Questionnaire (UEQ-S). The results show that Pepper is attributed higher hedonistic qualities, whereas the terminal is highlighted as pragmatic and is overall preferred in the evaluated context. Further findings show that, while age and gender do have at least some explanatory power in explaining divergent user experiences, the affinity for technology interaction surprisingly did not seem to have an impact.",
isbn="978-981-96-3525-2"
}