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more accessible. An NLI may significantly help peo-
ple not accustomed to using public or shared trans-
portation. With the NLI and the integration of fur-
ther information domains, we attempted to increase
the benefit of the information systems, particularly for
infrequent users.
We proposed a data model integrating different
data resources in the individual domains. Further-
more, we designed an interaction model covering the
interaction in a limited subdomain. The prototype,
which is still a work-in-progress, was implemented
based on existing open source components and evalu-
ated by potential users. One of the challenges was to
acquire a sufficient amount of training data that would
be required to improve the NLU component. Never-
theless, the system was rated already rather positively
by users in a preliminary test. Participants empha-
sized the seamless integration of related domains.
Besides improving the performance by using more
training data and more sophisticated models, the sys-
tem’s domain should be extended to cover more ser-
vices provided by MSPs. The interaction’s usabil-
ity can be improved by offering additional input and
output modalities, like speech or visualizations. Fi-
nally, we plan to perform a broader evaluation with
a larger group of people from different backgrounds,
thus making the evaluation representative.
ACKNOWLEDGEMENTS
This work has, in part, been funded by the Fed-
eral Ministry of Transport and Digital Infrastruc-
ture (BMVI) within the funding guideline ”Auto-
mated and Connected Driving” under the grant num-
ber 16AVF2134B.
REFERENCES
Bartie, P., Mackaness, W., Lemon, O., Dalmas, T., Ja-
narthanam, S., Hill, R. L., Dickinson, A., and Liu,
X. (2018). A Dialogue Based Mobile Virtual Assis-
tant for Tourists: The SpaceBook Project. Computers,
Environment and Urban Systems, 67:110–123.
Beutel, M. C., G
¨
okay, S., Ohler, F., Kohl, W., Krempels,
K.-H., Rose, T., Samsel, C., Schwinger, F., and Ter-
welp, C. (2018). Mobility Service Platforms - Cross-
Company Cooperation for Transportation Service In-
teroperability. In Proceedings of the 20th Interna-
tional Conference on Enterprise Information Systems,
pages 151–161.
Bocklisch, T., Faulkner, J., Pawlowski, N., and Nichol, A.
(2017). Rasa: Open Source Language Understanding
and Dialogue Management. Technical report, Rasa.
Dahlb
¨
ack, N., J
¨
onsson, A., and Ahrenberg, L. (1993). Wiz-
ard of Oz studies—why and how. Knowledge-based
systems, 6(4):258–266.
Dodd, C., Athauda, R., and Adam, M. T. (2017). Designing
User Interfaces for the Elderly: A Systematic Litera-
ture Review. In Australasian Conference on Informa-
tion Systems, pages 1–11, Hobart, Australia.
Haas, C. and Riezler, S. (2016). A Corpus and Semantic
Parser for Multilingual Natural Language Querying of
OpenStreetMap. In Proceedings of the 2016 Confer-
ence of the North American Chapter of the Associa-
tion for Computational Linguistics: Human Language
Technologies, pages 740–750, Stroudsburg, PA, USA.
Association for Computational Linguistics.
Lafferty, J., Mccallum, A., and Pereira, F. (2001). Condi-
tional Random Fields: Probabilistic Models for Seg-
menting and Labeling Sequence Data. In Proceed-
ings of the 18th International Conference on Machine
Learning, pages 282–289.
Lawrence, C. and Riezler, S. (2016). NLmaps: A Natu-
ral Language Interface to Query OpenStreetMap. In
Proceedings of the International Conference on Com-
putational Linguistics (COLING), pages 6–10, Osaka,
Japan.
Lowdermilk, T. (2013). User-centered design: a devel-
oper’s guide to building user-friendly applications. ”
O’Reilly Media, Inc.”.
Malaka, R. and Zipf, A. (2000). DEEP MAP Challenging
IT research in the framework of a tourist information
system. In Information and communication technolo-
gies in tourism, pages 15—-27. Springer.
M
¨
oller, S. (2003). Subjective Quality Evaluation of Tele-
phone Services Based on Spoken Dialogue Systems.
Technical report, International Telecommunication
Union.
Pennington, J., Socher, R., and Manning, C. (2014). GloVe:
Global Vectors for Word Representation. In Proceed-
ings of the 2014 Conference on Empirical Methods in
Natural Language Processing (EMNLP), pages 1532–
1543, Stroudsburg, PA, USA. Association for Compu-
tational Linguistics.
Pradhan, A., Mehta, K., and Findlater, L. (2018). Acces-
sibility Came by Accident: Use of Voice-Controlled
Intelligent Personal Assistants by People with Disabil-
ities. In Proceedings of the 2018 CHI Conference on
Human Factors in Computing Systems, page 459.
Schulz, T., B
¨
ohm, M., Gewald, H., and Krcmar, H. (2020).
Smart mobility–an analysis of potential customers’
preference structures. Electronic Markets, pages 1–
20.
Williams, J. D., Asadi, K., and Zweig, G. (2017). Hybrid
Code Networks: practical and efficient end-to-end di-
alog control with supervised and reinforcement learn-
ing. In Proceedings of the 55th Annual Meeting of
the Association for Computational Linguistics, pages
665—-677, Vancouver, Canada. Association for Com-
putational Linguistics.
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