Tomás Lejarraga
Biographic Data
| ID | 1662529 |
|---|---|
| NAME | Tomás Lejarraga |
| GIVEN NAMES | Tomás |
| FAMILY NAME | Lejarraga |
| SIGNATURE | LEJARRAGA T |
| AFFILIATIONS | Max Planck Institute for Human Development |
| ORCID | 0000-0001-6135-2243 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Information is not enough to boost water savings in hotel rooms
Water is a key scarce resource. Therefore, most hotels place written messages in their rooms to promote guests’ water-saving behaviors. Existing research has focused on how nudges prompt towel reuse, reducing water consumption indirectly. We examine the impact of a boost —that fosters people’s competences—on direct water consumption in the shower, tap, and toilet. We conducted two field studies in Mallorca, Spain, in 2022 and 2023, at 14 hotel ro…
Promoting sustainability in hotels: Do guests commit and save water
Water scarcity is a critical issue in many tourist destinations. Hotels often implement behavioral interventions to reduce water consumption, such as encouraging guests to reuse towels and linens. This study tested behavioral interventions in 21 hotel rooms in Mallorca, Spain between June and October 2023, for a total of 324 stays. Digital meters were installed in showers to directly measure water use, and guests—who were unaware of the digital m…
Adaptive biases in the wild: Advancing our understanding of the nature of biases
Three Theories of Choice and Their Psychology of Losses
Loss aversion has long been regarded as a fundamental psychological regularity, yet evidence has accumulated to challenge this conclusion. We review three theories of how people make decisions under risk and, as a consequence, value potential losses: expected-utility theory, prospect theory, and risk-sensitivity theory. These theories, which stem from different behavioral disciplines, differ in how they conceptualize value and thus differ in thei…
How experimental methods shaped views on human competence and rationality
article, Tversky and Kahneman rejected this conclusion, arguing that "people rely on a limited number of heuristic principles which reduce the complex tasks of assessing probabilities and predicting values to simple judgmental operations" (p. 1124). With that, they introduced the heuristics-and-biases research program, which has profoundly altered how psychology, and the behavioral sciences more generally, view the mind's competences and rational…
The attention–aversion gap: How allocation of attention relates to loss aversion
The Effect of Experience on Context‐dependent Decisions
Does the well‐documented “decoy effect” emerge in decisions from experience among risky options? We conducted a series of experiments where participants made choices between gambles, and we varied whether participants learned about the options from description, experience, or both. Our results consistently showed no traces of the decoy effect when participants learned from experience. Even when participants read precise descriptions of the option…
The effects of motivation and memory on the weighting of reference prices
Decisions from Experience: From Monetary to Medical Gambles
The description–experience gap refers to the robust finding that learning about uncertain options via description or experience results in systematically different choices. This gap has previously been studied primarily with monetary gambles. Here, we examine search and choice processes in decisions from experience involving medical outcomes (side effects of medication). We compare these processes both to decisions from experience involving monet…
Instance‐based Learning: A General Model of Repeated Binary Choice
A common practice in cognitive modeling is to develop new models specific to each particular task. We question this approach and draw on an existing theory, instance‐based learning theory (IBLT), to explain learning behavior in three different choice tasks. The same instance‐based learning model generalizes accurately to choices in a repeated binary choice task, in a probability learning task, and in a repeated binary choice task within a changin…
When experience is better than description: Time delays and complexity
The dominant sampling paradigm of experience‐based choice is extended by exploring two realistic aspects of decisions. First, frequency judgments were studied in situations involving a delay between information acquisition and judgment. This time gap undermines recall from working memory and favors the natural human capacity to encode frequencies effortlessly. Deferred judgments from experience were found to be more accurate than judgments from d…
Decisions from Experience: From Monetary to Medical Gambles
The description–experience gap refers to the robust finding that learning about uncertain options via description or experience results in systematically different choices. This gap has previously been studied primarily with monetary gambles. Here, we examine search and choice processes in decisions from experience involving medical outcomes (side effects of medication). We compare these processes both to decisions from experience involving monet…
The Effect of Experience on Context‐dependent Decisions
Does the well‐documented “decoy effect” emerge in decisions from experience among risky options? We conducted a series of experiments where participants made choices between gambles, and we varied whether participants learned about the options from description, experience, or both. Our results consistently showed no traces of the decoy effect when participants learned from experience. Even when participants read precise descriptions of the option…
When experience is better than description: Time delays and complexity
The dominant sampling paradigm of experience‐based choice is extended by exploring two realistic aspects of decisions. First, frequency judgments were studied in situations involving a delay between information acquisition and judgment. This time gap undermines recall from working memory and favors the natural human capacity to encode frequencies effortlessly. Deferred judgments from experience were found to be more accurate than judgments from d…
How experimental methods shaped views on human competence and rationality
article, Tversky and Kahneman rejected this conclusion, arguing that "people rely on a limited number of heuristic principles which reduce the complex tasks of assessing probabilities and predicting values to simple judgmental operations" (p. 1124). With that, they introduced the heuristics-and-biases research program, which has profoundly altered how psychology, and the behavioral sciences more generally, view the mind's competences and rational…
The effects of motivation and memory on the weighting of reference prices
Instance‐based Learning: A General Model of Repeated Binary Choice
A common practice in cognitive modeling is to develop new models specific to each particular task. We question this approach and draw on an existing theory, instance‐based learning theory (IBLT), to explain learning behavior in three different choice tasks. The same instance‐based learning model generalizes accurately to choices in a repeated binary choice task, in a probability learning task, and in a repeated binary choice task within a changin…
When experience is better than description: Time delays and complexity
The dominant sampling paradigm of experience‐based choice is extended by exploring two realistic aspects of decisions. First, frequency judgments were studied in situations involving a delay between information acquisition and judgment. This time gap undermines recall from working memory and favors the natural human capacity to encode frequencies effortlessly. Deferred judgments from experience were found to be more accurate than judgments from d…
Instance‐based Learning: A General Model of Repeated Binary Choice
A common practice in cognitive modeling is to develop new models specific to each particular task. We question this approach and draw on an existing theory, instance‐based learning theory (IBLT), to explain learning behavior in three different choice tasks. The same instance‐based learning model generalizes accurately to choices in a repeated binary choice task, in a probability learning task, and in a repeated binary choice task within a changin…
Decisions from Experience: From Monetary to Medical Gambles
The description–experience gap refers to the robust finding that learning about uncertain options via description or experience results in systematically different choices. This gap has previously been studied primarily with monetary gambles. Here, we examine search and choice processes in decisions from experience involving medical outcomes (side effects of medication). We compare these processes both to decisions from experience involving monet…
The Effect of Experience on Context‐dependent Decisions
Does the well‐documented “decoy effect” emerge in decisions from experience among risky options? We conducted a series of experiments where participants made choices between gambles, and we varied whether participants learned about the options from description, experience, or both. Our results consistently showed no traces of the decoy effect when participants learned from experience. Even when participants read precise descriptions of the option…
The effects of motivation and memory on the weighting of reference prices
The attention–aversion gap: How allocation of attention relates to loss aversion
How experimental methods shaped views on human competence and rationality
article, Tversky and Kahneman rejected this conclusion, arguing that "people rely on a limited number of heuristic principles which reduce the complex tasks of assessing probabilities and predicting values to simple judgmental operations" (p. 1124). With that, they introduced the heuristics-and-biases research program, which has profoundly altered how psychology, and the behavioral sciences more generally, view the mind's competences and rational…
Three Theories of Choice and Their Psychology of Losses
Loss aversion has long been regarded as a fundamental psychological regularity, yet evidence has accumulated to challenge this conclusion. We review three theories of how people make decisions under risk and, as a consequence, value potential losses: expected-utility theory, prospect theory, and risk-sensitivity theory. These theories, which stem from different behavioral disciplines, differ in how they conceptualize value and thus differ in thei…
Information is not enough to boost water savings in hotel rooms
Water is a key scarce resource. Therefore, most hotels place written messages in their rooms to promote guests’ water-saving behaviors. Existing research has focused on how nudges prompt towel reuse, reducing water consumption indirectly. We examine the impact of a boost —that fosters people’s competences—on direct water consumption in the shower, tap, and toilet. We conducted two field studies in Mallorca, Spain, in 2022 and 2023, at 14 hotel ro…
Promoting sustainability in hotels: Do guests commit and save water
Water scarcity is a critical issue in many tourist destinations. Hotels often implement behavioral interventions to reduce water consumption, such as encouraging guests to reuse towels and linens. This study tested behavioral interventions in 21 hotel rooms in Mallorca, Spain between June and October 2023, for a total of 324 stays. Digital meters were installed in showers to directly measure water use, and guests—who were unaware of the digital m…
Adaptive biases in the wild: Advancing our understanding of the nature of biases
Decision-Making and Behavioral Economics (8 works) · Cognitive psychology (6 works) · Psychology (6 works) · Computer Science (5 works) · Economics (5 works) · Cognition (4 works) · Microeconomics (4 works) · Economic and Environmental Valuation (3 works) · Neural and Behavioral Psychology Studies (3 works) · Social Psychology (3 works)