@inproceedings{kattenbeck2018mobilehciadj,
 abstract = {We investigate how a task-sensitive personal assistant on smartphones can support users in public space. Therefore, we designed, implemented, and evaluated airbot, a mobile chatbot providing air travelers with proactive information during flight relevant tasks. We tested the application on passengers at a major airport (N = 101). The results of our evaluation study suggest, firstly, that airbot's utility is acknowledged by its users and, secondly, that its use affects the perception of passengers' airport service experience, both positively and negatively.},
 acmid = {3236142},
 address = {New York, NY, USA},
 author = {Kattenbeck, Markus and Kilian, Melanie A. and Ferstl, Matthias and Alt, Florian and Ludwig, Bernd},
 booktitle = {Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct},
 doi = {10.1145/3236112.3236142},
 isbn = {978-1-4503-5941-2},
 keywords = {assistance system, cooperative problem solving, human-computer interaction, mobile information needs},
 location = {Barcelona, Spain},
 note = {kattenbeck2018mobilehciadj},
 numpages = {8},
 pages = {213--220},
 publisher = {ACM},
 series = {MobileHCI '18},
 title = {Airbot: Using a Work Flow Model for Proactive Assistance in Public Spaces},
 url = {https://www.unibw.de/usable-security-and-privacy/publikationen/pdf/kattenbeck2018mobilehciadj.pdf},
 year = {2018}
}