Neil Sehgal
@nsehgal.bsky.social
CS PhD @upenn.bsky.social
Computational Social Science @WorldBank
Harvard, Brown alumn
http://sehgal-neil.github.io/
Computational Social Science @WorldBank
Harvard, Brown alumn
http://sehgal-neil.github.io/
🚨 New study!
We tested whether AI-generated messages – single static messages vs. conversations – can boost intent to screen for colorectal cancer.
Turns out: short, tailored AI messages outperform expert-written materials & match conversations, at a fraction of the time! 🧵👇
We tested whether AI-generated messages – single static messages vs. conversations – can boost intent to screen for colorectal cancer.
Turns out: short, tailored AI messages outperform expert-written materials & match conversations, at a fraction of the time! 🧵👇
July 14, 2025 at 2:06 PM
🚨 New study!
We tested whether AI-generated messages – single static messages vs. conversations – can boost intent to screen for colorectal cancer.
Turns out: short, tailored AI messages outperform expert-written materials & match conversations, at a fraction of the time! 🧵👇
We tested whether AI-generated messages – single static messages vs. conversations – can boost intent to screen for colorectal cancer.
Turns out: short, tailored AI messages outperform expert-written materials & match conversations, at a fraction of the time! 🧵👇
🚨 New preprint on AI persuasion and public health 🚨
A 3-min conversation with GPT-4o nudged HPV-vax-hesitant parents (who obv knew it was AI & consented!)—BUT reading standard public-health material still outperformed chatbots in impact and longevity. Details below 👇
A 3-min conversation with GPT-4o nudged HPV-vax-hesitant parents (who obv knew it was AI & consented!)—BUT reading standard public-health material still outperformed chatbots in impact and longevity. Details below 👇
April 30, 2025 at 9:40 AM
🚨 New preprint on AI persuasion and public health 🚨
A 3-min conversation with GPT-4o nudged HPV-vax-hesitant parents (who obv knew it was AI & consented!)—BUT reading standard public-health material still outperformed chatbots in impact and longevity. Details below 👇
A 3-min conversation with GPT-4o nudged HPV-vax-hesitant parents (who obv knew it was AI & consented!)—BUT reading standard public-health material still outperformed chatbots in impact and longevity. Details below 👇
🚨 New CHI'25 EA paper! 🚨
How can we design culturally sensitive mental health chatbots for Indian adolescents? 🇮🇳📱
Our mixed-methods study reveals key design insights—from stigma to personalization.
Read it here: arxiv.org/abs/2503.08562
#CHI2025 #HCI #MentalHealth #AIforGood #India
How can we design culturally sensitive mental health chatbots for Indian adolescents? 🇮🇳📱
Our mixed-methods study reveals key design insights—from stigma to personalization.
Read it here: arxiv.org/abs/2503.08562
#CHI2025 #HCI #MentalHealth #AIforGood #India
Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India
Mental health challenges among Indian adolescents are shaped by unique cultural and systemic barriers, including high social stigma and limited professional support. Through a mixed-methods study invo...
arxiv.org
April 21, 2025 at 2:17 AM
🚨 New CHI'25 EA paper! 🚨
How can we design culturally sensitive mental health chatbots for Indian adolescents? 🇮🇳📱
Our mixed-methods study reveals key design insights—from stigma to personalization.
Read it here: arxiv.org/abs/2503.08562
#CHI2025 #HCI #MentalHealth #AIforGood #India
How can we design culturally sensitive mental health chatbots for Indian adolescents? 🇮🇳📱
Our mixed-methods study reveals key design insights—from stigma to personalization.
Read it here: arxiv.org/abs/2503.08562
#CHI2025 #HCI #MentalHealth #AIforGood #India
Reposted by Neil Sehgal
LDI Senior Fellows Neil Sehgal, Anish Agarwal, Raina Merchant, Sharath Chandra Guntuku, and colleagues analyzed Yelp reviews of health care facilities to asses how patient sentiment toward changed before and after COVID-19.
March 3, 2025 at 4:58 PM
LDI Senior Fellows Neil Sehgal, Anish Agarwal, Raina Merchant, Sharath Chandra Guntuku, and colleagues analyzed Yelp reviews of health care facilities to asses how patient sentiment toward changed before and after COVID-19.