Nathaniel J S Ashby
Biographic Data
| ID | 1662690 |
|---|---|
| NAME | Nathaniel J S Ashby |
| GIVEN NAMES | Nathaniel J S |
| FAMILY NAME | Ashby |
| SIGNATURE | ASHBY N J S |
| AFFILIATIONS | Harrisburg University of Science and Technology |
| ORCID | 0000-0002-3333-7617 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 19 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 3 |
The impact of experience on decisions based on pre-choice samples and the face-or-cue hypothesis
Choice rates are independent from perceived patterns (when patterns are not obvious)
When time is (not) money
The familiar adage that ‘time is money’ may not be entirely accurate according to research involving hypothetical choice: People’s decisions are less sensitive to temporal expenditures and outcomes than monetary ones. We provide a novel examination of whether similar patterns of risky choice are found for time and money when choices are consequential (i.e. monetary outcomes are obtained and temporal outcomes are experienced) – both for one-shot a…
The Influence of Time Estimation and Time‐Saving Preferences on Learning to Make Temporally Dependent Decisions from Experience
In this paper, we merge research related to experiential learning, temporal perception, and the value of time and money by examining decisions where the timing of action (response) determines the outcome received. We predicted that time‐saving preferences and impatience would decrease maximization (i.e., taking action when it returned the largest reward), and that the constraints of temporal perception would compound their effects. Across three s…
Who's biased? A meta-analysis of buyer-seller differences in the pricing of lotteries
Applications and Innovations of Eye‐movement Research in Judgment and Decision Making
Areas of Interest as a Signal Detection Problem in Behavioral Eye‐Tracking Research
Decision researchers frequently analyze attention to individual objects to test hypotheses about underlying cognitive processes. Generally, fixations are assigned to objects using a method known as area of interest (AOI). Ideally, an AOI includes all fixations belonging to an object while fixations to other objects are excluded. Unfortunately, due to measurement inaccuracy and insufficient distance between objects, the distributions of fixations …
Eyes on the Prize? Evidence of Diminishing Attention to Experienced and Foregone Outcomes in Repeated Experiential Choice
Recently, there has been increased interest in decisions‐from‐experience (where decision makers learn from observing the outcomes of previous choices), which provide valuable insights into the learning and preference construction processes underlying many daily decisions. Several process models have been developed to capture these processes, and while such models often fit the data well, many assume that the decision maker is a vigilant observer,…
Areas of Interest as a Signal Detection Problem in Behavioral Eye‐Tracking Research
Decision researchers frequently analyze attention to individual objects to test hypotheses about underlying cognitive processes. Generally, fixations are assigned to objects using a method known as area of interest (AOI). Ideally, an AOI includes all fixations belonging to an object while fixations to other objects are excluded. Unfortunately, due to measurement inaccuracy and insufficient distance between objects, the distributions of fixations …
Applications and Innovations of Eye‐movement Research in Judgment and Decision Making
Eyes on the Prize? Evidence of Diminishing Attention to Experienced and Foregone Outcomes in Repeated Experiential Choice
Recently, there has been increased interest in decisions‐from‐experience (where decision makers learn from observing the outcomes of previous choices), which provide valuable insights into the learning and preference construction processes underlying many daily decisions. Several process models have been developed to capture these processes, and while such models often fit the data well, many assume that the decision maker is a vigilant observer,…
Areas of Interest as a Signal Detection Problem in Behavioral Eye‐Tracking Research
Decision researchers frequently analyze attention to individual objects to test hypotheses about underlying cognitive processes. Generally, fixations are assigned to objects using a method known as area of interest (AOI). Ideally, an AOI includes all fixations belonging to an object while fixations to other objects are excluded. Unfortunately, due to measurement inaccuracy and insufficient distance between objects, the distributions of fixations …
Eyes on the Prize? Evidence of Diminishing Attention to Experienced and Foregone Outcomes in Repeated Experiential Choice
Recently, there has been increased interest in decisions‐from‐experience (where decision makers learn from observing the outcomes of previous choices), which provide valuable insights into the learning and preference construction processes underlying many daily decisions. Several process models have been developed to capture these processes, and while such models often fit the data well, many assume that the decision maker is a vigilant observer,…
Applications and Innovations of Eye‐movement Research in Judgment and Decision Making
When time is (not) money
The familiar adage that ‘time is money’ may not be entirely accurate according to research involving hypothetical choice: People’s decisions are less sensitive to temporal expenditures and outcomes than monetary ones. We provide a novel examination of whether similar patterns of risky choice are found for time and money when choices are consequential (i.e. monetary outcomes are obtained and temporal outcomes are experienced) – both for one-shot a…
The Influence of Time Estimation and Time‐Saving Preferences on Learning to Make Temporally Dependent Decisions from Experience
In this paper, we merge research related to experiential learning, temporal perception, and the value of time and money by examining decisions where the timing of action (response) determines the outcome received. We predicted that time‐saving preferences and impatience would decrease maximization (i.e., taking action when it returned the largest reward), and that the constraints of temporal perception would compound their effects. Across three s…
Who's biased? A meta-analysis of buyer-seller differences in the pricing of lotteries
Choice rates are independent from perceived patterns (when patterns are not obvious)
The impact of experience on decisions based on pre-choice samples and the face-or-cue hypothesis
Computer Science (6 works) · Cognitive psychology (5 works) · Decision-Making and Behavioral Economics (5 works) · Economics (5 works) · Psychology (5 works) · Neural and Behavioral Psychology Studies (4 works) · Artificial Intelligence (3 works) · Behavioral Health and Interventions (3 works) · Experiential learning (3 works) · Microeconomics (3 works)