Labor division in collaborative visual search
A review
Bibliographic Data
| ID | 21533391 |
|---|---|
| Authors | Basil Wahn (0000-0002-0318-7160, Universität Hamburg, corresponding author), Laura Schmitz (0000-0002-1216-4155, Universität Hamburg) |
| Year | 2023 |
| Volume | 87 |
| Issue | 5 |
| Pages | 1323-1333 |
| Publication date | 2023-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Research (JOURNAL) |
| Journal identifiers | ISSN: 0340-0727 • E-ISSN: 1430-2772 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00426-022-01767-8 |
| PMID | 36378344 |
| OpenAlex | W4309093790 |
| Language | EN |
| Citations received | 1 |
| References cited | 49 |
When looking for a certain object or person, individuals often engage in collaborative visual search, i.e., they search together by coordinating their behavior. For instance, when parents are looking for their child on a busy playground, they might search collaboratively by dividing the search area. This type of labor division in collaborative visual search could be beneficial not only in daily life, but also in professional life (e.g., at airport security screening, lifeguarding, or diagnostic radiology). To better understand the mechanisms underlying this type of collaborative behavior, as well as its benefits and costs, researchers have studied visual search scenarios in the laboratory. The aim of this review article is to provide a brief overview of the results of these studies. Are individuals faster if they search together compared to alone? And if so, should they simply search in parallel, or will they benefit from agreeing on a specific labor division? How should they divide the search space, and how to communicate this division? Should a consensus be reached (target present or absent?) before ending the search? We address these and further key questions, focusing on the aspect of labor division. In conclusion, we integrate the reviewed findings into an applied context, point out which questions still remain, and put forward suggestions for future research. We hope that this review can serve not only as a theoretical foundation for basic research but also as a practical inspiration for applied research and development
Cognitive psychology · Data science · Division of labour · Geography · Political science · Visual Search · Computer Science · Multisensory perception and integration · Olfactory and Sensory Function Studies · Psychology · Visual Attention and Saliency Detection · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |