Title |
The Future of Technology in Positive Psychology: Methodological Advances in the Science of Well-Being
|
---|---|
Published in |
Frontiers in Psychology, June 2018
|
DOI | 10.3389/fpsyg.2018.00962 |
Pubmed ID | |
Authors |
David B. Yaden, Johannes C. Eichstaedt, John D. Medaglia |
Abstract |
Advances in biotechnology and information technology are poised to transform well-being research. This article reviews the technologies that we predict will have the most impact on both measurement and intervention in the field of positive psychology over the next decade. These technologies include: psychopharmacology, non-invasive brain stimulation, virtual reality environments, and big-data methods for large-scale multivariate analysis. Some particularly relevant potential costs and benefits to individual and collective well-being are considered for each technology as well as ethical considerations. As these technologies may substantially enhance the capacity of psychologists to intervene on and measure well-being, now is the time to discuss the potential promise and pitfalls of these technologies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 16% |
United States | 5 | 16% |
Switzerland | 3 | 10% |
France | 1 | 3% |
Canada | 1 | 3% |
Finland | 1 | 3% |
Côte d'Ivoire | 1 | 3% |
Ireland | 1 | 3% |
Italy | 1 | 3% |
Other | 0 | 0% |
Unknown | 12 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 74% |
Scientists | 6 | 19% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 180 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 22% |
Student > Master | 28 | 16% |
Student > Bachelor | 15 | 8% |
Researcher | 13 | 7% |
Student > Doctoral Student | 9 | 5% |
Other | 33 | 18% |
Unknown | 43 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 57 | 32% |
Business, Management and Accounting | 13 | 7% |
Social Sciences | 9 | 5% |
Unspecified | 7 | 4% |
Computer Science | 6 | 3% |
Other | 30 | 17% |
Unknown | 58 | 32% |