Financial Exploitation of Older Adults
Conditions
Keywords
financial exploitation, financial decision-making, scam, behavioral nudging
Brief summary
This study seeks to test novel informational content / nudge strategies to mitigate financial vulnerability among older adults.
Interventions
Participants will be asked to virtually go through financial self-nudging informational content during the week prior to completing behavioral tasks. Self-nudging informational content contains strategies to enhance financial decision-making.
The control group will be exposed to informational content on healthy eating and physical activity (obtained through the U.S. Centers for Disease Control and Prevention and/or National Institute on Aging webpages).
Sponsors
Study design
Eligibility
Inclusion criteria
* Adults over the age of 60 * English speakers, to ensure comprehension of study tasks * High vulnerability to financial exploitation as assessed by the Financial Exploitation Vulnerability Scale (FEVS)
Exclusion criteria
* Less than age 60 * Non-English speaker
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Frequency of choosing the riskier option on the risk tolerance decision-making task | During the time of the decision-making task (about 5-10 minutes) | Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize risk tolerance (willingness to accept uncertain outcomes). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions. |
| Frequency of choosing the more trusting option on the trust decision-making task | During the time of the decision-making task (about 5-10 minutes) | Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize interpersonal trust (willingness to accept being vulnerable to other people). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions. |
| Frequency of choosing the more altruistic option on the altruism decision-making task | During the time of the decision-making task (about 5-10 minutes) | Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize altruism (willingness to incur a financial cost to benefit another person). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions. |
| Frequency of choosing the more patient option on the impatience decision-making task | During the time of the decision-making task (about 5-10 minutes) | Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize patience (willingness to forego a sooner reward for a bigger future reward). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions. |
| Frequency of choosing the less loss-averse option on the loss-aversion decision-making task | During the time of the decision-making task (about 5-10 minutes) | Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize loss aversion (tendency to weigh potential losses more heavily than equivalent gains). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions. |
| Physiological arousal as measured via heart rate | During the time of the decision-making tasks (about 20-40 minutes) | Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. |
| Physiological arousal as measured via skin conductance | During the time of the decision-making tasks (about 20-40 minutes) | Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. |
| Physiological arousal as measured via pupil dilation | During the time of the decision-making tasks (about 20-40 minutes) | Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. |
| Frequency of facial expressions associated with valence and engagement | During the time of the decision-making tasks (about 20-40 minutes) | Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. Facial expressions will be assessed using a facial expression analysis system (iMotions software). |
| Attention as assessed by eye fixations | During the time of the decision-making tasks (about 20-40 minutes) | Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. Relative fixation duration on each option in the behavioral tasks will be measured via an eye tracker (SmartEye). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Response time during the behavioral tasks | During the time of the decision-making tasks (about 20-40 minutes) | Response time will be reported as the time from stimulus presentation to choice, in milliseconds. |
Countries
United States
Contacts
The University of Texas Health Science Center, Houston