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| Content Provider | ACM Digital Library |
|---|---|
| Author | Macías, José A. Serrano, Javier Fernández Acuña, Silvia T. |
| Abstract | Experimentation plays a major role in the development and validation of new theories in the field of human-computer interaction (HCI). In this paper, we address quantitative empirical studies, an approach that has become the standard methodology for conducting research in HCI. This research provides an in-depth review, gathering a representative and relatively extensive collection of primary studies. We aim to identify relevant research lines in HCI in which quantitative approaches have been employed in order to construct a consistent and comprehensive taxonomy of quantitative approaches and form a broad picture of the procedures, tools and techniques employed. A systematic mapping study methodology has been adopted to produce reliable results in a reproducible and agile manner. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450328807 |
| DOI | 10.1145/2662253.2662309 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-09-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Empirical process Systematic mapping study Human-computer interaction Review Experimental study |
| Content Type | Text |
| Resource Type | Article |
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