Name
Abstract | ||
|---|---|---|
This paper focuses on identifying factors that influence the process of finding a root cause and a derived effect in causal node-link graphs with associated strength and significance depictions. We discuss in detail the factors that seem to be involved in identifying a global cause and effect based on the analysis of the results of an online user study with 44 participants, who used both sequential and non-sequential graph layouts. In summary, the results show that participants show geodesic-path tendencies when selecting causes and derived effects, and that context matters, i.e., participant's own beliefs, experiences and knowledge might influence graph interpretation. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-58521-5_2 | HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION, KNOWLEDGE AND INTERACTION DESIGN, HCI INTERNATIONAL 2017, PT I |
Keywords | Field | DocType |
Cause and effect, Strength and significance, Graph visualization, User study | Graph drawing,Graph,Computer science,Human–computer interaction,Root cause | Conference |
Volume | ISSN | Citations |
10273 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| JuHee Bae | 1 | 65 | 9.69 |
| Tove Helldin | 2 | 76 | 8.59 |
| Maria Riveiro | 3 | 133 | 18.64 |