1. Supporting Comparative Medical Decisions with an Online Drug Review Aggregator
PURE Spring 2015 Mentees: Shreya Rao, Jing Huang Mentor: Vera Liao
Problems:
Confirmation bias prevents users
from seeking diverse opinions
The potential harm of
overweighting comments from
a small number of individuals
on the medical websites
Solutions:
 Nudge: Design a choice architecture that shapes people’s behaviors without forcing
 Elaboration Likelihood Model (ELM): people can be "nudged" by either content information or heuristic stimuli, depending on motivations and capabilities.
Motivation
High
Low
Ability
Rely on Content Arguments
Rely on Heuristics
Transition
How do we determine which category each user fits into?
Seriousness of the disease
Initial data in the user profile that indicates age, medical experience, and length of disease
Data on how often the user uses the site
Evaluations based on different aspects
Highlights of good points, or other argument quality related features
Expertise indicators
Background: occupation, demographic, similarity to user, daily activity