Title |
Interpersonal Coordination: Methods, Achievements, and Challenges
|
---|---|
Published in |
Frontiers in Psychology, September 2017
|
DOI | 10.3389/fpsyg.2017.01685 |
Pubmed ID | |
Authors |
Carlos Cornejo, Zamara Cuadros, Ricardo Morales, Javiera Paredes |
Abstract |
Research regarding interpersonal coordination can be traced back to the early 1960s when video recording began to be utilized in communication studies. Since then, technological advances have extended the range of techniques that can be used to accurately study interactional phenomena. Although such a diversity of methods contributes to the improvement of knowledge concerning interpersonal coordination, it has become increasingly difficult to maintain a comprehensive view of the field. In the present article, we review the main capture methods by describing their major findings, levels of description and limitations. We group them into three categories: video analysis, motion tracking, and psychophysiological and neurophysiological techniques. Revised evidence suggests that interpersonal coordination encompasses a family of morphological and temporal synchronies at different levels and that it is closely related to the construction and maintenance of a common social and affective space. We conclude by arguing that future research should address methodological challenges to advance the understanding of coordination phenomena. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 25% |
Greece | 1 | 8% |
United Kingdom | 1 | 8% |
United States | 1 | 8% |
Denmark | 1 | 8% |
Italy | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 3 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 201 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 24% |
Student > Master | 27 | 13% |
Researcher | 23 | 11% |
Student > Bachelor | 23 | 11% |
Student > Doctoral Student | 10 | 5% |
Other | 29 | 14% |
Unknown | 41 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 74 | 37% |
Neuroscience | 21 | 10% |
Computer Science | 12 | 6% |
Social Sciences | 11 | 5% |
Sports and Recreations | 9 | 4% |
Other | 21 | 10% |
Unknown | 53 | 26% |