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Documents authored by Muffato, Veronica

Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2026.26
Learning a Map Under Positive Emotions: How Self-Reported Arousal and Individual Differences Relate to Route and Survey Knowledge (Short Paper)

Authors: Veronica Muffato, Laura Miola, Francesca Pazzaglia, and Chiara Meneghetti

Published in: LIPIcs, Volume 393, 17th International Conference on Spatial Information Theory (COSIT 2026)

Abstract
Digital map learning is a common everyday activity requiring the encoding of landmarks and their spatial relations, and may be related to individual differences. The present study investigated how individual positive emotional states differing in arousal (high vs. low) relate to route and survey knowledge after spatial learning from maps. A total of 156 participants (ongoing data collection) completed an online within-subject procedure including emotionally induced scenarios, map study, and recall tasks assessing route (landmark order) and survey (landmark location task) knowledge. Results showed no direct effect of arousal condition on performance; however, individual increases in arousal predicted lower route knowledge accuracy, while survey knowledge was unaffected. Importantly, trait positive affect positively predicted both route and survey performance. Age negatively predicted both, gender differences emerged only for survey knowledge, whereas spatial anxiety impaired route knowledge. These findings suggest a selective role of arousal in route processing and highlight the importance of considering individual differences in spatial learning from maps.
Cite as

Veronica Muffato, Laura Miola, Francesca Pazzaglia, and Chiara Meneghetti. Learning a Map Under Positive Emotions: How Self-Reported Arousal and Individual Differences Relate to Route and Survey Knowledge (Short Paper). In 17th International Conference on Spatial Information Theory (COSIT 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 393, pp. 26:1-26:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{muffato_et_al:LIPIcs.COSIT.2026.26,
  author =	{Muffato, Veronica and Miola, Laura and Pazzaglia, Francesca and Meneghetti, Chiara},
  title =	{{Learning a Map Under Positive Emotions: How Self-Reported Arousal and Individual Differences Relate to Route and Survey Knowledge}},
  booktitle =	{17th International Conference on Spatial Information Theory (COSIT 2026)},
  pages =	{26:1--26:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-438-3},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{393},
  editor =	{Timpf, Sabine and Filomena, Gabriele and Kapaj, Armand and Zhu, Rui and Giudice, Nicholas A. and Manley, Ed},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2026.26},
  URN =		{urn:nbn:de:0030-drops-275701},
  doi =		{10.4230/LIPIcs.COSIT.2026.26},
  annote =	{Keywords: map, emotions, arousal, route knowledge, survey knowledge, spatial cognition}
}
Document
DOI: 10.4230/LIPIcs.COSIT.2017.13
What Makes the Difference When Learning Spatial Information Using Language? The Contribution of Visuo-Spatial Individual Factors

Authors: Chiara Meneghetti and Veronica Muffato

Published in: LIPIcs, Volume 86, 13th International Conference on Spatial Information Theory (COSIT 2017)

Abstract
Within the spatial cognition domain, increasing interest is being paid to identifying the factors able to support good-quality environment learning. The present study examined the role of several individual visuo-spatial factors in supporting representations derived from spatial language,using descriptions. A group of undergraduates performed visuo-spatial and verbal cognitive tasks and completed visuo-spatial questionnaires, then listened to descriptions of fictitious large-scale environments presented from survey (map-based) and route (person-based) views, and to non-spatial descriptions for control purposes. Their recall was assessed using a verification test and a graphical representation task. The results showed that: (i) verbal abilities support accuracy in recall tasks of spatial and non-spatial descriptions; (ii) visuo-spatial abilities, preferences (such as pleasure in exploring), and visuo-spatial strategies specifically support accuracy in recall tasks of spatial descriptions. The contribution of individual visuo-spatial factors varies, however, as a function of the type of description and the type of recall task: preference for the survey strategy seems more associated with performance in survey description recall and graphical representation. The results are discussed in the light of spatial learning models and in terms of their implications.
Cite as

Chiara Meneghetti and Veronica Muffato. What Makes the Difference When Learning Spatial Information Using Language? The Contribution of Visuo-Spatial Individual Factors. In 13th International Conference on Spatial Information Theory (COSIT 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 86, pp. 13:1-13:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{meneghetti_et_al:LIPIcs.COSIT.2017.13,
  author =	{Meneghetti, Chiara and Muffato, Veronica},
  title =	{{What Makes the Difference When Learning Spatial Information Using Language? The Contribution of Visuo-Spatial Individual Factors}},
  booktitle =	{13th International Conference on Spatial Information Theory (COSIT 2017)},
  pages =	{13:1--13:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-043-9},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{86},
  editor =	{Clementini, Eliseo and Donnelly, Maureen and Yuan, May and Kray, Christian and Fogliaroni, Paolo and Ballatore, Andrea},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2017.13},
  URN =		{urn:nbn:de:0030-drops-77587},
  doi =		{10.4230/LIPIcs.COSIT.2017.13},
  annote =	{Keywords: Spatial language, survey description, route description, visuo-spatial abilities, self-reported visuo-spatial factors}
}

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