J S Elson
Biographic Data
| ID | 4971374 |
|---|---|
| NAME | J S Elson |
| GIVEN NAMES | J S |
| FAMILY NAME | Elson |
| SIGNATURE | ELSON J S |
| AFFILIATIONS | University of Nebraska at Omaha |
| ORCID | 0000-0003-4227-1274 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Everything, Everywhere, All at Once
Harnessing harm
How chatbot communication styles impact citizen reports to police
OBJECTIVE: We developed and tested a chatbot for reporting information to police. We examined how chatbot communication styles impacted three outcomes: (a) report accuracy, (b) willingness to provide contact information, and (c) user trust in the chatbot system. HYPOTHESES: In police-citizen interactions, people respond more positively when police officers use a combination of power and solidarity in their communication. We expected that this wou…
Examining Similarity‐Attraction Principle and Intergroup Conflict on Malevolent Creativity Ideation
Through the lens of the similarity‐attraction principle, we conducted a pair of studies to examine how perceived physical similarity influences the role similarity and ingroup affinity drives malevolent creativity ideation. Study 1 ( N = 305) participants were assigned to teams using the minimal group paradigm and then were given a social threat scenario by an avatar teammate of varying physical demographics (e.g., gender, race, age). Findings su…
Exploring trust dynamics in health information systems
Introduction: Health information systems (HISs) should provide accessible and high-quality information to patients. However, the challenge lies in understanding patients' trust preferences for health information. This study explores how different information sources (e.g., online platforms, interpersonal sources) are trusted under varying health conditions, focusing on symptom intensity and disease type. Methods: Using a 2 × 2 × 4 between-subject…
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Exploring trust dynamics in health information systems
Introduction: Health information systems (HISs) should provide accessible and high-quality information to patients. However, the challenge lies in understanding patients' trust preferences for health information. This study explores how different information sources (e.g., online platforms, interpersonal sources) are trusted under varying health conditions, focusing on symptom intensity and disease type. Methods: Using a 2 × 2 × 4 between-subject…
Harnessing harm
How chatbot communication styles impact citizen reports to police
OBJECTIVE: We developed and tested a chatbot for reporting information to police. We examined how chatbot communication styles impacted three outcomes: (a) report accuracy, (b) willingness to provide contact information, and (c) user trust in the chatbot system. HYPOTHESES: In police-citizen interactions, people respond more positively when police officers use a combination of power and solidarity in their communication. We expected that this wou…
Examining Similarity‐Attraction Principle and Intergroup Conflict on Malevolent Creativity Ideation
Through the lens of the similarity‐attraction principle, we conducted a pair of studies to examine how perceived physical similarity influences the role similarity and ingroup affinity drives malevolent creativity ideation. Study 1 ( N = 305) participants were assigned to teams using the minimal group paradigm and then were given a social threat scenario by an avatar teammate of varying physical demographics (e.g., gender, race, age). Findings su…
Everything, Everywhere, All at Once
Psychology (4 works) · Social Psychology (4 works) · Computer Science (3 works) · Applied Psychology (2 works) · Creativity (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Attraction (1 work) · Behavioral Health and Interventions (1 work)