Avoiding potential pitfalls in visual search and eye-movement experiments: A tutorial review
| Autor: | Anthony S. Barnhart, Stephen C. Walenchok, Katrín J. Alexdóttir, Michael C. Hout, Hayward J. Godwin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Visual search
Tutorial Review Linguistics and Language Eye movement Data collection Reflection (computer programming) Variables Point (typography) Eye Movements Computer science media_common.quotation_subject Movement Experimental and Cognitive Psychology Data science Sensory Systems Language and Linguistics Field (computer science) Humans Set (psychology) media_common |
| Zdroj: | Attention, Perception & Psychophysics |
| ISSN: | 1943-393X 1943-3921 |
| Popis: | Examining eye-movement behavior during visual search is an increasingly popular approach for gaining insights into the moment-to-moment processing that takes place when we look for targets in our environment. In this tutorial review, we describe a set of pitfalls and considerations that are important for researchers – both experienced and new to the field – when engaging in eye-movement and visual search experiments. We walk the reader through the research cycle of a visual search and eye-movement experiment, from choosing the right predictions, through to data collection, reporting of methodology, analytic approaches, the different dependent variables to analyze, and drawing conclusions from patterns of results. Overall, our hope is that this review can serve as a guide, a talking point, a reflection on the practices and potential problems with the current literature on this topic, and ultimately a first step towards standardizing research practices in the field. Supplementary Information The online version contains supplementary material available at 10.3758/s13414-021-02326-w. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink