Intelligent geovisualizations for open government data (vision paper)

Degbelo, Auriol; Kray, Christian

doi:10.1145/3274895.3274940

Cited by 15 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…If we manage to realise map plasticity as envisioned in this paper, it may lay the foundation for a new understanding of what constitutes a map and enable much more flexible map-based systems. It could be a key enabler for intelligent geovisualisations [5], which is based on the vision of adapting maps to different input datasets while being capable of monitoring and maximising understanding on the user's side.…”

Section: Discussionmentioning

confidence: 99%

Map plasticity

Kray,

Degbelo

2019

Preprint

Self Cite

View full text Add to dashboard Cite

With the arrival of digital maps, the ubiquity of maps has increased sharply and new map functionalities have become available such as changing the scale on the fly or displaying/hiding layers. Users can now interact with maps on multiple devices (e.g. smartphones, desktop computers, large-scale displays, head-mounted displays) using different means of interaction such as touch, voice or gestures. However, ensuring map functionalities and good user experience across these devices and modalities frequently entails dedicated development efforts for each combination. In this paper, we argue that introducing an abstract representation of what a map contains and affords can unlock new opportunities. For this purpose, we propose the concept of map plasticity, the capability of a map-based system to support different contexts of use while preserving usability and functionality. Based on this definition, we discuss core components and an example. We also propose a research agenda for realising map plasticity and its benefits.

show abstract

Section: Discussionmentioning

confidence: 99%

Map plasticity

Kray,

Degbelo

2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Contrasting our results with those from previous work may be useful here. In a study exploring geodata contribution on mobile devices via speech, Degbelo and Somaskantharajan (2020) reported that the speech modality was rated as usable, but not stimulating. This speaks against the argument that speech would be systematically rated by users as stimulating because it is used in a new application scenario.…”

Section: Key Takeawaysmentioning

confidence: 99%

“…start data exploration at zoom levels where others have highlighted interesting patterns first). This feature could contribute to advance the vision of better user activity support in intelligent geovisualizations (Degbelo and Kray, 2018).…”

Section: Future Workmentioning

confidence: 99%

“…More related to geospatial data, Lafia et al (2019) proposed a vision for geospatially-enabled voice assistants to support the discovery and reuse of open government data. Degbelo and Somaskantharajan (2020) argued that speech-based interaction presents some opportunities to improve interaction during digital forms-filling on mobile maps. The same argument can be made for filling out digital forms in general.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Study of Typing and Speech For Map Metadata Creation

Lai¹,

Degbelo²

2021

AGILE GIScience Ser.

Self Cite

View full text Add to dashboard Cite

Abstract. Metadata is key to effective knowledge organization, and designing user interfaces that maximize user performance and user experience during metadata creation would benefit several areas of GIScience. Yet, empirically-derived guidelines for user interfaces supporting GI-metadata creation are still scarce. As a step towards mitigating that gap, this work has implemented and evaluated a prototype that produces semantically-rich metadata for web maps via one of two input modalities: typing or speech. A controlled experiment (N=12) to investigate the merits of both modalities has revealed that (i) typing and speech were comparable as far as input duration time is concerned; and (ii) they received opposed ratings concerning their pragmatic and hedonic qualities. Combining both might thus be beneficial for GI-metadata creation user interfaces. The findings are useful to ongoing work on semantic enablement for spatial data infrastructure and note-taking during visual analytics.

show abstract

“…Many of these datasets are georeferenced (and in the absence of reliable statistics, extrapolating results from previous work [22] suggests that at least 60% could be georeferenced). Within GIScience, re-use of these datasets has attracted the interest from research, and previous work has suggested, inter alia, semantic application programming interfaces to retrieve datasets according to their thematic categories [16], a platform to monitor open data re-use [14], a one-stop portal for open data search [23], and a vision of intelligent geovisualization to exploit these datasets [15]. Direct and indirect costs of open geospatial data provision were discussed in [29]; Benitez-Paez et al [5] presented an empirically-derived taxonomy of barriers to open data re-use from a user's standpoint; and Benitez-Paez et al [4] proposed a conceptual framework to improve the reusability of open geographic data in cities.…”

Section: Introductionmentioning

confidence: 99%

Spatial search strategies for open government data

Degbelo

Teka

2019

Proceedings of the 13th Workshop on Geographic Information Retrieval

Self Cite

View full text Add to dashboard Cite

The increasing availability of open government datasets on the Web calls for ways to enable their efficient access and searching. There is however an overall lack of understanding regarding spatial search strategies which would perform best in this context. To address this gap, this work has assessed the impact of different spatial search strategies on performance and user relevance judgment. We harvested machine-readable spatial datasets and their metadata from three English-based open government data portals, performed metadata enhancement, developed a prototype and performed both a theoretical and user-based evaluation. The results highlight that (i) switching between area of overlap and Hausdorff distance for spatial similarity computation does not have any substantial impact on performance; and (ii) the use of Hausdorff distance induces slightly better user relevance ratings than the use of area of overlap. The data collected and the insights gleaned may serve as a baseline against which future work can compare.

show abstract

Intelligent geovisualizations for open government data (vision paper)

Cited by 15 publications

References 44 publications

Map plasticity

Map plasticity

A Comparative Study of Typing and Speech For Map Metadata Creation

Spatial search strategies for open government data

Contact Info

Product

Resources

About