Title |
Decisions in Motion: Decision Dynamics during Intertemporal Choice reflect Subjective Evaluation of Delayed Rewards
|
---|---|
Published in |
Scientific Reports, February 2016
|
DOI | 10.1038/srep20740 |
Pubmed ID | |
Authors |
Denis O’Hora, Rachel Carey, Aoife Kervick, David Crowley, Maciej Dabrowski |
Abstract |
People tend to discount rewards or losses that occur in the future. Such delay discounting has been linked to many behavioral and health problems, since people choose smaller short-term gains over greater long-term gains. We investigated whether the effect of delays on the subjective value of rewards is expressed in how people move when they make choices. Over 600 patrons of the RISK LAB exhibition hosted by the Science Gallery Dublin(TM) played a short computer game in which they used a computer mouse to choose between amounts of money at various delays. Typical discounting effects were observed and decision dynamics indicated that choosing smaller short-term rewards became easier (i.e., shorter response times, tighter trajectories, less vacillation) as the delays until later rewards increased. Based on a sequence of choices, subjective values of delayed outcomes were estimated and decision dynamics during initial choices predicted these values. Decision dynamics are affected by subjective values of available options and thus provide a means to estimate such values. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 6 | 32% |
United Kingdom | 4 | 21% |
France | 3 | 16% |
Netherlands | 1 | 5% |
Unknown | 5 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 68% |
Scientists | 5 | 26% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 43% |
Student > Master | 9 | 18% |
Student > Postgraduate | 3 | 6% |
Researcher | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Other | 7 | 14% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 16 | 33% |
Neuroscience | 12 | 24% |
Engineering | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 7 | 14% |
Unknown | 9 | 18% |