Here is the final version of the conference program with a list of keynote lectures, paper presentations, and themed discussion sessions. We will have exciting five days full of academic and social activities. Thanks.
⇒ Program finalized (pdf)
Here is a list of session chairs and themed discussion panelists (Updated 5 September 2022). Thanks for your contributions.
⇒ Session chairs (pdf)
Ruth C. Dalton
Inaugural/Founding Professor of Architecture, Lancaster Institute for the Contemporary Arts, Lancaster University
Jeremy M. Wolfe
Professor of Ophthalmology and Radiology, Harvard Medical School
Director of the Visual Attention Lab, Department of Surgery, Brigham and Women’s Hospital
Guidance in a complicated world
Jeremy M. Wolfe
Professor of Ophthalmology & Radiology,
Brigham & Women’s Hospital / Harvard Medical School
The world presents an immense stream of visual data to our limited-capacity nervous system. We cope by selecting small subsets of the input for processing at any moment. If this selection was random, we could not function, but, of course, it is not random. Our attention is guided so that we select some things and not others. We can group guidance into five varieties. 1) Attention can be guided in a bottom-up, stimulus driven manner to salient visual features. 2) Attention can be guided in a top-down, user-driven manner to coarsely defined-features of our current goal. Thus, if I want to pick blueberries, I guide to round and blue. 3) Attention is guided to what you found last time. If the last target was blue, your attention will be guided to other blue things. 4) Attention is guided by value. If you are rewarded for picking blue things, your attention will be guided to blue. Finally, and perhaps most importantly for COSIT, attention is guided by scene context. You know where it is physically possible to find some item; e.g., the cat does not float in midair (scene syntax) and you know where it is sensible to find an item; e.g. the dishwasher is not in the bedroom even if that is physically possible (scene semantics). Under most circumstances, these rules of guidance make it possible to find what you need to find in a reasonable amount of time. However, in some interesting situations our attention is misguided; sometimes with amusing results, sometimes with more serious consequences. This talk will both guide and misguide your attention.
Shigeru Fujimura
Senior Manager, Strategic Business Creation Team, Research and Development Planning Department, Nippon Telegraph and Telephone Corporation (NTT)
Will be talking on 4D Digital Platform ™
4D Digital Platform ™
Shigeru Fujimura
Senior Manager, Strategic Business Creation Team, Research and Development Planning Department, Nippon Telegraph and Telephone Corporation (NTT)
4D Digital Platform ™ integrates sensing data in real time into advanced geospatial information databases with its highly precise and abundant semantic information, and performs a range of high-speed analyses and future predictions. In combination with various kinds of IoT data, it can create values such as increasing the smoothness of road traffic flow, improving the ease of using urban assets, and enabling the cooperative maintenance of social infrastructures. In some cases of these applications, the accuracy of future predictions cannot be heightened as a result of the linkage of sets of statistical data or the matching of misaligned position and time data. In order to tackle these challenges, we have undertaken the research and development of a 4D Digital Platform ™, with a view to enabling the precise integration of position and time information from sensing data in real time, while also providing latitude, longitude, elevation, and time data that can be useful in future predictions. We aim to accurately digitalize the real world in cyberspace, and enable the fusion of various industries' data and the making of future predictions, so that we can contribute to the resolution of social problems and the creation of values. In this keynote lecture, I will overview the concept of the 4D Digital Platform ™ and discuss NTT's research and development activities for its promotion and an actual proof of concept (PoC) that we worked on.
Accepted Papers
• Full Papers
“Automatically discovering conceptual neighborhoods using machine learning methods”
Ling Cai, Krzysztof Janowicz, and Rui Zhu
“What do you mean you’re in Trafalgar Square? Comparing distance thresholds for geospatial prepositions”
Niloofar Aflaki, Kristin Stock, Christopher B. Jones, Hans Guesgen, Jeremy Morley, and Yukio Fukuzawa
“Empirical evidence for concepts of spatial information as cognitive means for interpreting and using maps”
Enkhbold Nyamsuren, Eric Top, Haiqi Xu, Niels Steenbergen, and Simon Scheider
“Rethinking route Choices! On the importance of route selection in wayfinding experiments”
Bartosz Mazurkiewicz, Markus Kattenbeck, and Ioannis Giannopoulos
“Predicting distance and direction from text locality descriptions for biological specimen collections”
Ruoxuan Liao, Pragyan Das, Christopher Jones, and Kristin Stock
“An online algorithm for handling qualitative spatio-temporal information”
Zhiguo Long, Qiyuan Hu, Hua Meng, and Michael Sioutis
“Generalized, inaccurate, incomplete: How to comprehensively analyze sketch maps beyond their metric correctness”
Angela Schwering, Jakub Krukar, and Charu Manivannn
“I can tell by your eyes! Continuous gaze-based turn-activity prediction reveals spatial familiarity”
Negar Alinaghi, Markus Kattenbeck, and Ioannis Giannopoulos
“Perceptions of qualitative spatial arrangements of three objects”
Ningran Xu, Ivan Majic, and Martin Tomko
• Vision Papers
“Are psychological variables relevant to evaluating geoinformatics applications? The case of landmarks”
Jakub Krukar and Angela Schwering
“New human dynamics in the emerging metaverse: Towards a quantum phygital model by integrating space and place”
Daniel Sui and Shih-Lung Shaw
• Short Papers
“Geographically varying coefficient regression: GWR-exit and GAM-on?”
Alexis Comber, Paul Harris, and Chris Brunsdon
“3D sketch maps: Concept, potential benefits, and challenges”
Kevin Gonyop Kim, Jakub Krukar, Panagiotis Mavros, Jiayan Zhao, Peter Kiefer, Angela Schwering, Christoph Hölscher, and Martin Raubal
“The effect of abstract vs. realistic 3D visualization on landmark and route knowledge acquisition”
Armand Kapaj, Enru Lin, and Sara Lanini-Maggi
“Smart crowd management: The data, the users and the solution”
Laure De Cock, Nico Van de Weghe, Steven Verstockt, and Christophe Vandeviver
“Large-scale spatial prediction by scalable geographically weighted regression: Comparative study”
Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, and Tomoki Nakaya
“A weather-aware framework for population mobility modelling”
Vanessa Brum-Bastos, Kamil Smolak, Witold Rohm, and Katarzyna Sila-Nowicka
“Qualitative spatial reasoning over questions”
Mohammad Kazemi Beydokhti, Matt Duckham, Yaguang Tao, Maria Vasardani, and Amy Griffin
“Transcepts: Connecting entity representations across conceptual views on spatial information”
Eric Top and Simon Scheider
“A computational method for the classification of mental representations of objects in 3D space”
Samuel S. Sohn, Panagiotis Mavros, Mubbasir Kapadia, and Christoph Hölscher
“A comparison of geographically weighted principal components analysis methodologies”
Narumasa Tsutsumida, Daisuke Murakami, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu, Paul Harris, and Alexis Comber
“Abnormal situation simulation and dynamic causality discovery in urban traffic networks”
Yadi Wang, Yicheng Pan, Meng Ma, and Ping Wang
“Spatial and spatiotemporal matching framework for causal inference”
Kamal Akbari and Martin Tomko
“An entropy-based model for indoor self-localization through dialogue”
Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko
“Collaborative wayfinding under distributed spatial knowledge”
Panagiotis Mavros, Saskia Kuliga, Ed Manley, Hilal Fitri, Michael Joos, and Christoph Hölscher
“Abnormal trajectory-gap detection”
Arun Sharma, Jayant Gupta, and Shashi Shekhar
“Improving pedestrians traffic priority via grouping and virtual lanes in shared spaces”
Yao Li, Vinu Kamalasanan, Mariana Batista, and Monika Sester
“Eye blink-related brain potentials during landmark-based navigation in virtual reality”
Bingjie Cheng, Enru Lin, Klaus Gramann, and Anna Wunderlich
“Representing computational relations in knowledge graphs using functional languages”
Yanmin Qi, Heshan Du, Amin Farjudian, and Yunqiang Zhu
• Short papers for oral presentations:
“Platial rhythm”
Daniel Romm and Grant McKenzie
“Spatial information, the brain, and the potential cognitive benefits of the environment”
May Yuan and Kristen Kennedy
• Short papers for poster presentations:
“aMPdist: Improving the performance of time series similarity computation using approximation and indexing”
Mihalis Tsoukalos, Georgios Chatzigeorgakidis, Nikos Platis, and Spiros Skiadopoulos
“Towards improving pilots’ spatial awareness through cross-sectional weather visualizations”
Adrian Sarbach, Peter Kiefer, and Raubal Martin
“Place-based semantic similarity”
Sarah Battersby, Grant McKenzie, and Vidya Setlur
