Michael Sobolev
Dados Biográficos
| ID | 6540920 |
|---|---|
| NOME | Michael Sobolev |
| PRENOMES | Michael |
| SOBRENOME | Sobolev |
| ASSINATURA | SOBOLEV M |
| AFILIAÇÕES | Cornell University |
| ORCID | 0000-0002-8931-7682 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Warning
We clarify the conditions under which warnings that provide useful information backfire. Our analysis is based on three observations: (1) warnings can increase the attention given to the warned‐against behavior, (2) in many settings, counterproductive warned‐against behaviors (like texting while driving) are typically rewarding, and (3) decisions from experience reflect insufficient sensitivity to rare outcomes. A simple model that abstracts the …
Digital Strategies for Screen Time Reduction
Many consumers nowadays wish to reduce their smartphone usage in the hope of improving productivity and well-being. We conducted a pre-registered field experiment ( N = 112) over a period of several weeks to test the effectiveness of two widely available digital strategies for screen time reduction. The effectiveness of a design friction intervention (i.e., activating grayscale mode) was compared with a goal-setting intervention (i.e., self-commi…
Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders
Background and Objectives: Prior research has successfully identified linguistic and behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care for individuals with SSD. Given the popularity of image-based platforms, such as Instagram, investigating user generated image data could further stren…
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Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders
Background and Objectives: Prior research has successfully identified linguistic and behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care for individuals with SSD. Given the popularity of image-based platforms, such as Instagram, investigating user generated image data could further stren…
Digital Strategies for Screen Time Reduction
Many consumers nowadays wish to reduce their smartphone usage in the hope of improving productivity and well-being. We conducted a pre-registered field experiment ( N = 112) over a period of several weeks to test the effectiveness of two widely available digital strategies for screen time reduction. The effectiveness of a design friction intervention (i.e., activating grayscale mode) was compared with a goal-setting intervention (i.e., self-commi…
Warning
We clarify the conditions under which warnings that provide useful information backfire. Our analysis is based on three observations: (1) warnings can increase the attention given to the warned‐against behavior, (2) in many settings, counterproductive warned‐against behaviors (like texting while driving) are typically rewarding, and (3) decisions from experience reflect insufficient sensitivity to rare outcomes. A simple model that abstracts the …
Behavioral Health and Interventions (2 obras) · Computer Science (2 obras) · Medicine (2 obras) · Psychology (2 obras) · Artificial Intelligence (1 obras) · Autism (1 obras) · Autistic spectrum (1 obras) · Context (archaeology (1 obras) · Digital Mental Health Interventions (1 obras) · Generality (1 obras)