2 Search Results for "Batista, Mariana"

Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2022.27
Improving Pedestrians Traffic Priority via Grouping and Virtual Lanes in Shared Spaces (Short Paper)

Authors: Yao Li, Vinu Kamalasanan, Mariana Batista, and Monika Sester

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
The shared space design is applied in urban streets to support barrier-free movement and integrate traffic participants (such as pedestrians, cyclists and vehicles) into a common road space. Regardless of the low-speed environment, sharing space with motor vehicles can make vulnerable road users feel uneasy. Yet, walking in groups increases their confidence as well as influence the yielding behavior of drivers. Therefore, we propose an innovative approach to support the crossing of pedestrians via grouping and project the virtual lanes in shared spaces. This paper presents the important components of the crowd steering system, discusses the enablers and gaps in the current approach, and illustrates the proposed idea with concept diagrams.
Cite as

Yao Li, Vinu Kamalasanan, Mariana Batista, and Monika Sester. Improving Pedestrians Traffic Priority via Grouping and Virtual Lanes in Shared Spaces (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 27:1-27:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

Copy BibTex To Clipboard

@InProceedings{li_et_al:LIPIcs.COSIT.2022.27,
  author =	{Li, Yao and Kamalasanan, Vinu and Batista, Mariana and Sester, Monika},
  title =	{{Improving Pedestrians Traffic Priority via Grouping and Virtual Lanes in Shared Spaces}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{27:1--27:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.27},
  URN =		{urn:nbn:de:0030-drops-169125},
  doi =		{10.4230/LIPIcs.COSIT.2022.27},
  annote =	{Keywords: shared space, urban traffic system, augmented reality, pedestrian grouping}
}
Document
DOI: 10.4230/OASIcs.SLATE.2019.14
Distinguishing Different Classes of Utterances - the UC-PT Corpus

Authors: Mariana Gaspar Fernandes, Cátia Dias, and Luísa Coheur

Published in: OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019)

Abstract
Conversational bots are being used in many scenarios and we can find them playing museum guides or providing customer support, for instance. These bots base their answers in specific information related with their domain of expertise, but there is general information, presented in each user request that, when properly identified, could also be useful for the agent to decide what to answer. As an example, if the user is asking a question or uttering a statement, the bot’s action in its search for a response will probably differ. In this paper we present three corpora for the Portuguese language - the UC-PT corpus - that can be used to help conversational bots to distinguish: a) questions from non questions, b) yes-no-questions from other types of questions; and c) personal from non-personal questions. With this information, the agent can decide, for instance, not to answer, redirect the question to a persona chatbot or decide to answer it with a simple "yes", "no" or "maybe". In addition, we benchmark the classification process in these corpora. This corpora will be made publicly available.
Cite as

Mariana Gaspar Fernandes, Cátia Dias, and Luísa Coheur. Distinguishing Different Classes of Utterances - the UC-PT Corpus. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 14:1-14:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@InProceedings{fernandes_et_al:OASIcs.SLATE.2019.14,
  author =	{Fernandes, Mariana Gaspar and Dias, C\'{a}tia and Coheur, Lu{\'\i}sa},
  title =	{{Distinguishing Different Classes of Utterances - the UC-PT Corpus}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{14:1--14:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Rodrigues, Ricardo and Janou\v{s}ek, Jan and Ferreira, Lu{\'\i}s and Coheur, Lu{\'\i}sa and Batista, Fernando and Gon\c{c}alo Oliveira, Hugo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.14},
  URN =		{urn:nbn:de:0030-drops-108817},
  doi =		{10.4230/OASIcs.SLATE.2019.14},
  annote =	{Keywords: Corpora, Questions, Conversational Agents, Portuguese Language}
}
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