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Mollevik, Johan
Alternative names
Publications (8 of 8) Show all publications
Mollevik, J. (2016). Evaluation of strategies for pedestrian guidance using commodity smartphones. In: 2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST): . Paper presented at 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST), AUG 24-26, 2016, Cardiff, WALES (pp. 41-46).
Open this publication in new window or tab >>Evaluation of strategies for pedestrian guidance using commodity smartphones
2016 (English)In: 2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST), 2016, p. 41-46Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the user evaluation of two strategies for guiding pedestrians. This work is based on a hands free, eyes free scenario explored by SpaceBook [1], using cheap Android phones. The first model described is a comparatively simple purely reactive model [2]. The second is using more involved techniques including prediction of future positions and scheduling [3]. The paper describes both models discussing identified problems with them. It then goes on to describe our evaluation procedure and the results of the evaluation.

Series
International Conference on Next Generation Mobile Applications, Services and Technologies, ISSN 2161-2897
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:umu:diva-132060 (URN)10.1109/NGMAST.2016.12 (DOI)000391952200008 ()978-1-5090-0949-7 (ISBN)
Conference
10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST), AUG 24-26, 2016, Cardiff, WALES
Available from: 2017-03-17 Created: 2017-03-17 Last updated: 2018-06-09Bibliographically approved
Minock, M., Mollevik, J. & Åsander, M. (2014). Does TTS-based pedestrian navigation work?.
Open this publication in new window or tab >>Does TTS-based pedestrian navigation work?
2014 (English)Report (Other academic)
Abstract [en]

We seek to test the hypothesis that text-to-speech(TTS) navigation systems can adequately guide pedestrians to unknown destinations in an unfamiliar city. Such systems bypass screenbased, multi-modal techniques and simply speak route following instructions incrementally into the pedestrian’s ear piece. Due to errors in GPS positioning, uncertainty of user heading, poor map quality and potential communication and processing latencies, this becomes a surprisingly challenging task. In our study, subjects are led on an unknown tour on the grounds of Ume˚a University. We evaluated both a human wizard controller as well as a simple decision-tree based controller and compared them to an ideal subject that knows the route. Results give support to our hypothesis that TTS-based navigation systems can adequately guide pedestrians. That said, our experiences point toward immediate and future improvements to make such systems more effective and agreeable. All the software and data behind this work will be open sourced to encourage confirmation, replication and, ultimately, improvement upon our results. This will soon be available for public download at http://janus-system.eu.

Publisher
p. 10
National Category
Language Technology (Computational Linguistics)
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-144610 (URN)
Available from: 2018-02-07 Created: 2018-02-07 Last updated: 2018-06-09Bibliographically approved
Minock, M., Mollevik, J., Åsander, M. & Karlsson, M. (2013). A test-bed for text-to-speech-based pedestrian navigation systems. In: Elisabeth Métais, Farid Meziane, Mohamad Saraee, Vijayan Sugumaran, Sunil Vadera (Ed.), Natural Language Processing and Information Systems: 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Salford, UK, June 19-21, 2013. Proceedings. Paper presented at 18th International Conference on Application of Natural Language to Information Systems, NLDB 2013, 19 June 2013 through 21 June 2013, Salford (pp. 396-399). Springer Berlin/Heidelberg
Open this publication in new window or tab >>A test-bed for text-to-speech-based pedestrian navigation systems
2013 (English)In: Natural Language Processing and Information Systems: 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Salford, UK, June 19-21, 2013. Proceedings / [ed] Elisabeth Métais, Farid Meziane, Mohamad Saraee, Vijayan Sugumaran, Sunil Vadera, Springer Berlin/Heidelberg, 2013, p. 396-399Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an Android system to support eyes-free, hands-free navigation through a city. The system operates in two distinct modes: manual and automatic. In manual, a human operator sends text messages which are realized via TTS into the subject's earpiece. The operator sees the subject's GPS position on a map, hears the subject's speech, and sees a 1 fps movie taken from the subject's phone, worn as a necklace. In automatic mode, a programmed controller attempts to achieve the same guidance task as the human operator. We have fully built our manual system and have verified that it can be used to successfully guide pedestrians through a city. All activities are logged in the system into a single, large database state. We are building a series of automatic controllers which require us to confront a set of research challenges, some of which we briefly discuss in this paper. We plan to demonstrate our work live at NLDB.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 7934
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:umu:diva-83209 (URN)10.1007/978-3-642-38824-8_47 (DOI)2-s2.0-84884924111 (Scopus ID)978-3-642-38823-1 (ISBN)978-3-642-38824-8 (ISBN)
Conference
18th International Conference on Application of Natural Language to Information Systems, NLDB 2013, 19 June 2013 through 21 June 2013, Salford
Available from: 2013-12-02 Created: 2013-11-21 Last updated: 2018-06-08Bibliographically approved
Minock, M. & Mollevik, J. (2013). Context-dependent 'near' and 'far' in spatial databases via supervaluation. Data & Knowledge Engineering, 86, 295-305
Open this publication in new window or tab >>Context-dependent 'near' and 'far' in spatial databases via supervaluation
2013 (English)In: Data & Knowledge Engineering, ISSN 0169-023X, E-ISSN 1872-6933, Vol. 86, p. 295-305Article in journal (Refereed) Published
Abstract [en]

Often we are interested to know what is 'near' and what is 'far' in spatial databases. For instance we would like a hotel 'near' the beach, but 'far' from the highway. It is not always obvious how to answer such nearness questions by reducing them to their crisp counterparts 'nearer' or 'nearest'. Thus we confront the vague and context-dependent relation of near (and far). Our approach follows a supervaluation tradition with a limited representation of context. The method is tractable, learnable and directly suitable for use in natural language interfaces to databases. The approach is based on logic programs supervaluated over a set of context-dependent threshold parameters. Given a set of rules with such unconstrained threshold parameters, a fixed parameter tractable algorithm finds a setting of parameters that are consistent with a training corpus of context-dependent descriptions of 'near' and 'far' in scenes. The results of this algorithm may then be compiled into view definitions which are accessed in real-time by natural language interfaces employing normal, non-exotic query answering mechanisms. 

Keywords
Vagueness, Spatial databases, Natural language interfaces, Supervaluation, OpenStreetMaps
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-79044 (URN)10.1016/j.datak.2013.02.004 (DOI)000320353700015 ()
Available from: 2014-03-11 Created: 2013-08-06 Last updated: 2018-06-08Bibliographically approved
Mollevik, J. (2013). Natural language interfaces over spatial data: investigations in scalability, extensibility and reliability. (Licentiate dissertation). Umeå: Umeå Universitet
Open this publication in new window or tab >>Natural language interfaces over spatial data: investigations in scalability, extensibility and reliability
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Alternative title[sv]
Naturliga-språkgränssnitt över rumsliga data : undersökningar i skalbarhet, utbyggbarhet och tillförlitlighet
Place, publisher, year, edition, pages
Umeå: Umeå Universitet, 2013. p. 97
Series
UMINF, ISSN 0348-0542 ; 13.22
National Category
Language Technology (Computational Linguistics)
Identifiers
urn:nbn:se:umu:diva-87705 (URN)978-91-7459-777-6 (ISBN)
Presentation
2013-11-29, N200, 13:15 (English)
Opponent
Supervisors
Available from: 2014-08-08 Created: 2014-04-07 Last updated: 2018-06-08Bibliographically approved
Minock, M. & Mollevik, J. (2013). Prediction and scheduling in navigation systems. In: Proceedings of the GeoHCI Workshop: in conjunctionwith ACM CHI 2013. Paper presented at GeoHCI 2013 - Geographic Human Computer Interaction Workshop at CHI 2013, Paris, France, April 27-28, 2013. (pp. 30-32).
Open this publication in new window or tab >>Prediction and scheduling in navigation systems
2013 (English)In: Proceedings of the GeoHCI Workshop: in conjunctionwith ACM CHI 2013, 2013, p. 30-32Conference paper, Published paper (Refereed)
Abstract [en]

This position paper makes a case for the need to predict pedestrian position and schedule communication acts in mobile navigation systems. In our work, carried out in the context of a voice guided city navigation system, we have found that improperly timed route instructions are a major cause of failure in guiding pedestrians in unknown environments. Furthermore, the need to communicate other information while guiding users on routes, as well as complications caused by network latencies, occurs often enough to require that we be able synchronize communication acts with user position as they follow a route. This has led us to focus our efforts on scheduling utterances to maximize route following success.

In this position paper we motivate this problem and present our initial approach and findings which should be of interest to others engaged in similar efforts in both the Geography and HCI communities.

Keywords
location-based systems, natural user interfaces, navigat ion systems, pedestrian interfaces, open street maps
National Category
Language Technology (Computational Linguistics)
Identifiers
urn:nbn:se:umu:diva-87689 (URN)978-1-4503-1952-2 (ISBN)
Conference
GeoHCI 2013 - Geographic Human Computer Interaction Workshop at CHI 2013, Paris, France, April 27-28, 2013.
Available from: 2014-04-07 Created: 2014-04-07 Last updated: 2018-06-08Bibliographically approved
Minock, M., Mollevik, J. & Åsander, M. (2012). Toward an active database platform for guiding urban pedestrians. Umeå: Umeå universitet
Open this publication in new window or tab >>Toward an active database platform for guiding urban pedestrians
2012 (English)Report (Other academic)
Abstract [en]

We present an Android-based platform for incrementally presenting spoken route directions to guide pedestrians to destinations. Our approach makes heavy use of stored procedures and triggers in an underlying PostGIS spatial database. In fact most of the 'intelligence' of our prototype resides in database stored procedures and tables. As such it represents an example of a challenging real world case study for the use of persistent stored modules (PSM) in a complex mobility application. It also provides a platform to study performance tradeoffs for complex event processing over spatial data streams.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2012. p. 12
Series
UMINF, ISSN 0348-0542 ; 12.18
National Category
Language Technology (Computational Linguistics)
Identifiers
urn:nbn:se:umu:diva-87702 (URN)
Funder
EU, FP7, Seventh Framework Programme, 270019
Available from: 2014-04-07 Created: 2014-04-07 Last updated: 2018-06-08Bibliographically approved
Granberg, J. & Minock, M. (2011). A natural language interface over the MusicBrainz database. In: Christina Unger, Philipp Cimiano, Vanessa Lopez, Enrico Motta (Ed.), Proceedings of the 1st workshop on Question Answering over Linked Data (QALD-1): . Paper presented at QALD-1 workshop, 1st Workshop on Question Answering over Linked Data, Heraklion, Greece, 30 May 2011 (pp. 38-43).
Open this publication in new window or tab >>A natural language interface over the MusicBrainz database
2011 (English)In: Proceedings of the 1st workshop on Question Answering over Linked Data (QALD-1) / [ed] Christina Unger, Philipp Cimiano, Vanessa Lopez, Enrico Motta, 2011, p. 38-43Conference paper, Published paper (Refereed)
Abstract [en]

This paper demonstrates a way to build a natural language interface (NLI) over semantically rich data. Specifically we show this over the MusicBrainz domain, inspired by the second shared task of the QALD-1 workshop. Our approach uses the tool C-Phrase [4] to build an NLI over a set of views defined over the original MusicBrainz relational database. C-Phrase uses a limited variant of X-Bar theory [3] for syntax and tuple calculus for semantics. The C-Phrase authoring tool works over any domain and only the end configuration has to be redone for each new database covered – a task that does not require deep knowledge about linguistics and system internals. Working over the MusicBrainz domain was a challenge due to the size of the database – quite a lot of effort went into optimizing computation times and memory usage to manageable levels. This paper reports on this work and anticipates a live demonstration for querying by the public

Keywords
natural language interfaces, relational databases, MusicBrainz, C-Phrase
National Category
Language Technology (Computational Linguistics)
Identifiers
urn:nbn:se:umu:diva-87683 (URN)
Conference
QALD-1 workshop, 1st Workshop on Question Answering over Linked Data, Heraklion, Greece, 30 May 2011
Available from: 2014-04-07 Created: 2014-04-07 Last updated: 2018-06-08Bibliographically approved
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