Coping with the big data dump
Towards a framework for enhanced information representation
Bibliographic Data
| ID | 15114792 |
|---|---|
| Authors | Andreas Kratky (0000-0002-3331-3447, University of Southern California), Virginia Kuhn (0000-0002-3608-0132, University of Southern California), Jon Olav Eikenes |
| Year | 2015 |
| Publication date | 2015-05-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | First Monday (JOURNAL) |
| Journal identifiers | ISSN: 1396-0458 • E-ISSN: 1396-0466 |
| Publisher | University of Illinois Libraries (PUBLISHER) |
| DOI | 10.5210/fm.v20i6.5507 |
| OpenAlex | W2149018695 |
| Language | EN |
Easy and efficient access to large amounts of data has become an essential aspect of our everyday life. In this paper we investigate possibilities of supporting information representation through the combined use of multiple modalities of perceptions such as sight, touch and kinesthetics. We present a theoretical framework to analyze these approaches and exemplify our findings with case studies of three emergent projects. The results are a contribution to a larger discussion of multimodal information representation at the intersection of theory and practice
Data science · Epistemology · Everyday life · Human–computer interaction · Modalities · Perception · Political science · Politics · Sight · Social science · Sociology · Computer Science · Data Visualization and Analytics · Innovative Human-Technology Interaction · Personal Information Management and User Behavior · Psychology
| Highly cited | No |
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