Alvaro Chacon
Biographic Data
| ID | 6540970 |
|---|---|
| NAME | Alvaro Chacon |
| GIVEN NAMES | Alvaro |
| FAMILY NAME | Chacon |
| SIGNATURE | CHACON A |
| AFFILIATIONS | Universidad Técnica Federico Santa María |
| ORCID | 0000-0001-6112-0098 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The influence of terminology on use and preference in algorithmic systems
This study investigates how the terminology used to describe algorithmic systems—specifically “algorithm” versus “chatbot”—influences user preferences, behavior, and the dynamics of human–artificial intelligence (AI) decision support. Additionally, it examines whether the objectivity of the task moderates this effect. Across two preregistered studies, participants consistently preferred the term “algorithm” over “chatbot” and were more likely to …
Are engineers more likely to avoid algorithms after they see them err? A longitudinal study
Research suggests the superior predictive capabilities of algorithms compared to humans. However, people's reluctance to use algorithms after witnessing their inaccuracies has hindered their widespread adoption. Studies have explored this reluctance, but little is known about how different people use algorithms. We focused on algorithm utilisation by engineers, conducting two longitudinal ecological momentary assessment studies outside the lab to…
Customer behavior in the presence of algorithmic marketing agents
The end of algorithm aversion
Invited Symposium
The 11th Revision of the International Classification of Diseases (ICD-11) was approved by the World Health Assembly in May 2019.Reporting of health statistics by World Health Organization (WHO) member states began in January 2022.We are currently in a period of transition as countries implement the ICD-11 in their health information and clinical systems.Implementing a new diagnostic system creates substantial needs for workforce development and …
A longitudinal approach for understanding algorithm use
Research suggests that algorithms—based on artificial intelligence or linear regression models—make better predictions than humans in a wide range of domains. Several studies have examined the degree to which people use algorithms. However, these studies have been mostly cross‐sectional and thus have failed to address the dynamic nature of algorithm use. In the present paper, we examined algorithm use with a novel longitudinal approach outside th…
A longitudinal approach for understanding algorithm use
Research suggests that algorithms—based on artificial intelligence or linear regression models—make better predictions than humans in a wide range of domains. Several studies have examined the degree to which people use algorithms. However, these studies have been mostly cross‐sectional and thus have failed to address the dynamic nature of algorithm use. In the present paper, we examined algorithm use with a novel longitudinal approach outside th…
A longitudinal approach for understanding algorithm use
Research suggests that algorithms—based on artificial intelligence or linear regression models—make better predictions than humans in a wide range of domains. Several studies have examined the degree to which people use algorithms. However, these studies have been mostly cross‐sectional and thus have failed to address the dynamic nature of algorithm use. In the present paper, we examined algorithm use with a novel longitudinal approach outside th…
Invited Symposium
The 11th Revision of the International Classification of Diseases (ICD-11) was approved by the World Health Assembly in May 2019.Reporting of health statistics by World Health Organization (WHO) member states began in January 2022.We are currently in a period of transition as countries implement the ICD-11 in their health information and clinical systems.Implementing a new diagnostic system creates substantial needs for workforce development and …
Are engineers more likely to avoid algorithms after they see them err? A longitudinal study
Research suggests the superior predictive capabilities of algorithms compared to humans. However, people's reluctance to use algorithms after witnessing their inaccuracies has hindered their widespread adoption. Studies have explored this reluctance, but little is known about how different people use algorithms. We focused on algorithm utilisation by engineers, conducting two longitudinal ecological momentary assessment studies outside the lab to…
Customer behavior in the presence of algorithmic marketing agents
The end of algorithm aversion
The influence of terminology on use and preference in algorithmic systems
This study investigates how the terminology used to describe algorithmic systems—specifically “algorithm” versus “chatbot”—influences user preferences, behavior, and the dynamics of human–artificial intelligence (AI) decision support. Additionally, it examines whether the objectivity of the task moderates this effect. Across two preregistered studies, participants consistently preferred the term “algorithm” over “chatbot” and were more likely to …
Computer Science (4 works) · Ethics and Social Impacts of AI (4 works) · AI in Service Interactions (3 works) · Algorithm (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Psychology (2 works) · Advice (programming (1 works) · Advice (programming) (1 works) · Art (1 works) · Artificial Intelligence (1 works)