Noah Castelo
Biographic Data
| ID | 4101033 |
|---|---|
| NAME | Noah Castelo |
| GIVEN NAMES | Noah |
| FAMILY NAME | Castelo |
| SIGNATURE | CASTELO N |
| AFFILIATIONS | University of Alberta |
| ORCID | 0000-0001-8944-9303 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Consumers with Weaker Applications Are Less Receptive to Algorithmic Evaluation
Many organizations are adopting algorithms for evaluating various consumer applications (e.g., loans, insurance). This research explores how consumers react to this practice, with the goal of understanding what leads some consumers to react more positively or negatively to being evaluated by an algorithm than others. In the context of consumers applying for access to valued services, opportunities, or benefits, applicant strength (i.e., how stron…
Understanding and Improving Consumer Reactions to Service Bots
Many firms are beginning to replace customer service employees with bots, from humanoid service robots to digital chatbots. Using real human-bot interactions in lab and field settings, we study consumers' evaluations of bot-provided service. We find that service evaluations are more negative when the service provider is a bot versus a human-even when the provided service is identical. This effect is explained by consumers' belief that service aut…
Cross-Cultural Differences in Comfort with Humanlike Robots
Could a rising robot workforce make humans less prejudiced
Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many perspectives have examined the economic impact of a robot workforce, but here we consider its social impact: How will the rise of robot workers affect intergroup relations? Whereas some past research has suggested that more robots will lead to more intergroup prejudice, we suggest that robots could also reduce prejudice by highlighting commonalitie…
Task-Dependent Algorithm Aversion
Research suggests that consumers are averse to relying on algorithms to perform tasks that are typically done by humans, despite the fact that algorithms often perform better. The authors explore when and why this is true in a wide variety of domains. They find that algorithms are trusted and relied on less for tasks that seem subjective (vs. objective) in nature. However, they show that perceived task objectivity is malleable and that increasing…
Understanding and Improving Consumer Reactions to Service Bots
Many firms are beginning to replace customer service employees with bots, from humanoid service robots to digital chatbots. Using real human-bot interactions in lab and field settings, we study consumers' evaluations of bot-provided service. We find that service evaluations are more negative when the service provider is a bot versus a human-even when the provided service is identical. This effect is explained by consumers' belief that service aut…
Could a rising robot workforce make humans less prejudiced
Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many perspectives have examined the economic impact of a robot workforce, but here we consider its social impact: How will the rise of robot workers affect intergroup relations? Whereas some past research has suggested that more robots will lead to more intergroup prejudice, we suggest that robots could also reduce prejudice by highlighting commonalitie…
Cross-Cultural Differences in Comfort with Humanlike Robots
Task-Dependent Algorithm Aversion
Research suggests that consumers are averse to relying on algorithms to perform tasks that are typically done by humans, despite the fact that algorithms often perform better. The authors explore when and why this is true in a wide variety of domains. They find that algorithms are trusted and relied on less for tasks that seem subjective (vs. objective) in nature. However, they show that perceived task objectivity is malleable and that increasing…
Could a rising robot workforce make humans less prejudiced
Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many perspectives have examined the economic impact of a robot workforce, but here we consider its social impact: How will the rise of robot workers affect intergroup relations? Whereas some past research has suggested that more robots will lead to more intergroup prejudice, we suggest that robots could also reduce prejudice by highlighting commonalitie…
Cross-Cultural Differences in Comfort with Humanlike Robots
Understanding and Improving Consumer Reactions to Service Bots
Many firms are beginning to replace customer service employees with bots, from humanoid service robots to digital chatbots. Using real human-bot interactions in lab and field settings, we study consumers' evaluations of bot-provided service. We find that service evaluations are more negative when the service provider is a bot versus a human-even when the provided service is identical. This effect is explained by consumers' belief that service aut…
Consumers with Weaker Applications Are Less Receptive to Algorithmic Evaluation
Many organizations are adopting algorithms for evaluating various consumer applications (e.g., loans, insurance). This research explores how consumers react to this practice, with the goal of understanding what leads some consumers to react more positively or negatively to being evaluated by an algorithm than others. In the context of consumers applying for access to valued services, opportunities, or benefits, applicant strength (i.e., how stron…
AI in Service Interactions (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Computer Science (2 works) · Psychology (2 works) · Robot (2 works) · Social Psychology (2 works) · Aesthetics (1 works) · Applied Psychology (1 works) · Art (1 works)