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Geographic human-computer interaction

Authors: Brent J. Hecht; Johannes Schöning; Muki Haklay; Licia Capra; Afra J. Mashhadi; Loren G. Terveen; Mei-Po Kwan;

Geographic human-computer interaction

Abstract

Geography is playing an increasingly important role in areas of HCI ranging from social computing to natural user interfaces. At the same time, research in geography has focused more and more on technology-mediated interaction with spatiotemporal phenomena. Despite the growing popularity of this geographic human-computer interaction (GeoHCI) in both fields, there have been few opportunities for GeoHCI knowledge sharing, knowledge creation or community building in either discipline, let alone between them. The goal of this workshop is thus two-fold. First, we will seek to sum up the state of GeoHCI knowledge and address GeoHCI core issues by inviting prominent researchers in the space to share and discuss the most important high-level findings from their work. Second, through our interdisciplinary organizing committee, we will recruit participants from both fields, with the goal of laying the groundwork for a community that works across intra- and interdisciplinary boundaries.

Country
Belgium
Keywords

Geography; geospatial; Geo UX; location-based; sustainability; urban issues

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
Green