Ph.D. - Applied Experimental Psychology
Catholic University of America - 2015
Kendra Seaman
Assistant Professor
Research Interests: Understanding the intersections of learning, motivation, decision-making, and adult development
972-883-3783
VP 8.21
Aging Well Lab
Scientific Research Network on Decision Neuroscience and Aging
Curriculum Vitae
ORCID
Currently accepting undergraduate and graduate students
Professional Preparation
MA - Psychology
Catholic University of America - 2010
Catholic University of America - 2010
BA - Psychology
University of Kansas - 2002
University of Kansas - 2002
BA - Biology
University of Kansas - 2002
University of Kansas - 2002
Research Areas
Social Influences on Decision Making
Emerging research from my lab and others suggests that older adults may weigh social factors more than younger adults. My colleagues and I developed the Social Motives Questionnaire to distinguish between information-seeking and emotion-regulation motivations (Gong, Seaman, et al., 2019). Consistent with socioemotional selectivity theory, we found that information-seeking motivations decline with age while emotion-regulation motivations increase with age. We thought this age-related difference in social motivation may lead to differences in learning from social feedback. To investigate this, we recently examined how younger and older adults learn to trust over repeated interactions (Seaman et al., 2023). As predicted, we found that older adults displayed less learning that younger adults. However, contrary to our predictions, this was not because of differences in learning differently from positive and negative social feedback. In fact, it may be that older adults are more sensitive to social feedback. In another recent study, we investigated how people respond to dynamic facial expressions, where people see a facial emotional expression evolve (e.g. changing from a neutral expression into a smile). Contrary to research using static images of facial expressions, we found that older individuals had stronger evoked emotional responses to these dynamic stimuli than their younger counterparts (Abiodun et al., 2024). However, despite these stronger emotional responses, this does not necessarily mean that older adults are overly influenced by social feedback. In another recent naturalistic study using experience sampling, we found that older adults were better than younger adults at regulating their spontaneous desires in the presence of others enacting that desire (Castrellon et al., 2024). This emerging research suggests that social influences on decision making across adulthood are nuanced.Influence of Decision Features
The vast majority of decision making research has focused on examining monetary decisions. However, real-world decision making often requires that individuals weigh the costs and benefits across a variety of domains. Thus, my colleagues designed a set of discounting tasks to test how different types of costs and rewards influence choice behavior. We have found significant age differences in choice behavior depending on the type of cost and the reward domain (Seaman, Gorlick, et al., 2016). These results have been replicated in a recent study during the Covid-19 pandemic (Seaman, Juarez, et al., 2021). In a second study, which focused on decisions about monetary rewards, we discovered that while the tolerance of different costs is behaviorally dissociable, subjective value signals share a common representation in the brain across adulthood (Seaman, Brooks, et al., 2018). More recently, we examined how non-monetary consequences can change the risk-taking preferences of participants (Frank et al., preprint). Collectively, this line of work demonstrates the importance of considering motivation when examining choice behavior across adulthood – and focusing on abstract monetary rewards may limit our ability to quantify age differences in domain-general decision making. Understanding what matters to people is critical to understanding the decisions they make.Temporal Discounting and Aging
A number of theories in adult development make predictions about the link between age and temporal discounting, or the devaluation of future rewards. However, the empirical literature on this subject was mixed. Thus, with colleagues from Duke and the University of Basel, I conducted a systematic review and meta-analysis of temporal discounting across adulthood. Across 37 studies (N = 104, 737), we found no sizeable relationship between adult age and temporal discounting (Seaman et al., 2022). In conducting the review, we observed that studies use a variety of delay durations, ranging from days to years. Working with the founding members of my new lab, we decided to conduct a follow-up study systematically manipulating delay duration. Here, we found that that, at short to moderate time delays, older adults discounted less than younger adults. However, at very long delays (5 and 10 years), older adults discounted at similar rates to younger adults (Leverett et al., 2021). This suggests that observed age differences in temporal discounting may be methodological and that delay length may moderate the relationship between age and discounting.Risk, Expected Value, and Aging
Emerging research suggests that some age-related deficits in decision making may be linked to the way individuals represent expected value. My work in this area has sought to examine how the probability and variance of outcomes can influence this representation in older adults. For instance, we found individual differences in perceptions of risk are related to residential choice in older adults (Seaman, Stillman, et al 2015). We also observed that older adults have a tendency to accept more positively-skewed financial risks (with a small chance of a large win) than other types of equivalent gambles (Seaman, Leong, et al, 2017) and this age-related positive-skew bias is related to age differences in the recruitment of the lateral prefrontal cortex. Further, a follow-up study showed that the age-related increase in acceptance of positively-skewed bets is not due increased in loss aversion in older adults (Seaman, Green, Shu & Samanez-Larkin, 2018). Taken together, these studies suggest that the processing of probabilistic information can profoundly affect the way individuals, and particularly older adults, make risky decisions (Frank & Seaman, 2023).Publications
Partial-volume correction increases estimated dopamine D2-like receptor binding potential and reduces adult age differences - Journal Article
Diverse FACES – A database of facial expressions in young, middle-aged, and older individuals from underrepresented racial populations 2024 - Other
Adult Age Differences in Evoked Emotional Responses to Dynamic Facial Expressions 2024 - Journal Article
Adult age-related differences in susceptibility to social conformity pressures in self-control over daily desires. 2024 - Journal Article
Selective Engagement of Cognitive Resources Fail to Account for Age-Related Positive Skew Bias 2024 - Other
Appointments
Assistant Professor
University of Texas at Dallas [2019–Present]
University of Texas at Dallas [2019–Present]
Postdoctoral Research
Duke University [2017–2019]
Duke University [2017–2019]
Postdoctoral Research Fellow
Yale University [2015–2017]
Yale University [2015–2017]
Projects
Psychological Mechanisms of Skewed Decision Making Across Adulthood
2021/09–2024/08- Kendra Seaman, UT Dallas
- Colleen Frank, UT Dallas
- Galston Wong, UT Dallas
- Derek Isaacowitz, Washington University in Saint Louis
Do Age Differences in Associative Learning and Stimulus Generalization Lead to Age Differences in Trust?
• Kendra Seaman, UT Dallas• Lauren Lilly, UT Dallas
• Jessica Cooper, Emory University
• Alex Christensen, UNC-Greensboro
• Brittany Cassidy, UNC-Greensboro
When meeting others, people make quick decisions on whether to trust people or not that affect decision-making and that pose serious consequences for physical, interpersonal, and financial well-being. However, older adults exhibit excessive trust relative to younger adults and this excessive trust leaves older adults particularly such serious consequences, including financial fraud. One explanation for their excessive trust is that older adults may learn to trust differently than do younger adults. The study adopts an interdisciplinary approach to examine this possibility at both the behavioral and neural levels.
This study is funded by SRNDNA. OSF preregistration includes details about the hypotheses and study design.
Age Differences in Skewed Risky Decision Making in a Visual Performance Task
- Colleen Frank, UT Dallas
- Galston Wong, UT Dallas
- Kendra Seaman, UT Dallas
DiverseFACES
- Jared Cortez, UT Dallas
- Sera Gonzalez, UT Dallas
- Kendra Seaman, UT Dallas
This study is funded by an internal BBS Pilot Grant to KLS and NIA Diversity supplement to SG.
Emotion Prediction Errors in Social Decisions Across the Lifespan
- Colleen Frank, UT Dallas
- Kendra Seaman, UT Dallas