
doi: 10.1109/iv.2012.33
This paper presents a review of heuristic evaluation and recommendations for how to apply the method for information visualization evaluation. Heuristic evaluation is a widely known and popular method within the area of human-computer interaction and the information visualization community now also recognizes its usefulness. However, in this area it is not applied to the same extent. In its original form the method has limitations that need to be considered in order for it to be optimal for information visualization. The aim with this paper is to provide the reader with knowledge about the method and awareness of what issues that call for refined or supplemental actions and resources in order for it to generate as valid and useful results as possible. The paper also discusses the research challenges for future work in how to further improve the method.
| 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). | 17 | |
| 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. | Top 10% | |
| 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. | Average |
