ProfessorsProfessors of Cornell UniversityYoungsoo Shin

Youngsoo Shin

Cornell University

H-index: 5

North America-United States

About Youngsoo Shin

Youngsoo Shin, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Cognitive Science, Data Science, Human-Computer Interaction, Design Thinking, User Experience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Supporting Users’ Behavioral Decision-Making Experiences Through Personalized Human-Technology Interactions

Too Many or Too Little: Investigating Different Decision-making Experiences of Maximizers and Satisficers in HCIs

Supporting Users’ Decision-Making Experiences through Hyper-Personalized Human-Technology Interactions

PENCODER: Design for Prospective Memory and Older Adults

Behavioural Intervention Technology in UX Design: Conceptual Review, Synthesis, and Research Direction

Development of a Scale to Measure Decision-making Tendency in Human-product Interactions

Towards Designing Human-Centered Time Management Interfaces: The Development of 14 UX Design Guidelines for Time-related Experiences in Mobile HCI

Youngsoo Shin Information

University	Cornell University
Position	Yonsei University
Citations(all)	263
Citations(since 2020)	214
Cited By	121
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Cornell University
Google Scholar	View Google Scholar Profile

Youngsoo Shin Skills & Research Interests

Cognitive Science

Data Science

Human-Computer Interaction

Design Thinking

User Experience

Top articles of Youngsoo Shin

Title	Author(s)	Publication Date
Supporting Users’ Behavioral Decision-Making Experiences Through Personalized Human-Technology Interactions	Youngsoo Shin	2023
Too Many or Too Little: Investigating Different Decision-making Experiences of Maximizers and Satisficers in HCIs	Youngsoo Shin JungKyoon Yoon	2023
Supporting Users’ Decision-Making Experiences through Hyper-Personalized Human-Technology Interactions	Youngsoo Shin	2022/6
PENCODER: Design for Prospective Memory and Older Adults	Y Shin R Barankevich J Lee S Kalantari	2021/5
Behavioural Intervention Technology in UX Design: Conceptual Review, Synthesis, and Research Direction	Youngsoo Shin Chajoong Kim Jungkyoon Yoon	2022
Development of a Scale to Measure Decision-making Tendency in Human-product Interactions	Youngsoo Shin Chajoong Kim Jungkyoon Yoon	2021/12/6
Towards Designing Human-Centered Time Management Interfaces: The Development of 14 UX Design Guidelines for Time-related Experiences in Mobile HCI	Youngsoo Shin Jungkyoon Yoon	2021/9/27