Human Perception of Surprise: A User Study

07/16/2018
by   Nalin Chhibber, et al.
0

Understanding how to engage users is a critical question in many applications. Previous research has shown that unexpected or astonishing events can attract user attention, leading to positive outcomes such as engagement and learning. In this work, we investigate the similarity and differences in how people and algorithms rank the surprisingness of facts. Our crowdsourcing study, involving 106 participants, shows that computational models of surprise can be used to artificially induce surprise in humans.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/03/2020

Investigating the Effects of Robot Engagement Communication on Learning from Demonstration

Robot Learning from Demonstration (RLfD) is a technique for robots to de...
research
07/22/2023

An Empirical Study Evaluation of Modern CAPTCHAs

For nearly two decades, CAPTCHAs have been widely used as a means of pro...
research
05/23/2023

Modeling Empathic Similarity in Personal Narratives

The most meaningful connections between people are often fostered throug...
research
07/15/2021

Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy

Children and adults with cerebral palsy (CP) can have involuntary upper ...
research
01/26/2022

A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment

In this paper, we study the effects of using an algorithm-based risk ass...
research
11/27/2019

Fooling with facts: Quantifying anchoring bias through a large-scale online experiment

Living in the 'Information Age' means that not only access to informatio...

Please sign up or login with your details

Forgot password? Click here to reset