Algorithms consistently perform well on various prediction tasks, but people often mistrust their advice. Here, we demonstrate one component that affects people's trust in algorithmic predictions: response time. In seven studies (total N = 1928 with 14,184 observations), we find that people judge slowly generated predictions from algorithms as less accurate and they are less willing to rely on them. This effect reverses for human predictions, where slowly generated predictions are judged to be more accurate. In explaining this asymmetry, we find that slower response times signal the exertion of effort for both humans and algorithms. However, the relationship between perceived effort and prediction quality differs for humans and algorithms. ...
How fast we interact with technology has been one of the most salient topics for both the users and ...
The past decade has seen incredible strides made in the ability for computers and algorithms to fore...
We investigate the relation between speed and accuracy within problem solving in its simplest non-tr...
Algorithms consistently perform well on various prediction tasks, but people often mistrust their ad...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Optimal decision making requires appropriate evaluation of advice. Recent literature reports that al...
Algorithms play an increasingly ubiquitous and vitally important role in modern society. However, re...
It has been long acknowledged that computational prediction procedures may yield more accurate predi...
We experimentally investigated the relationship between participants' reliance on algorithms, their ...
How is algorithmic model interpretability related to human acceptance of algorithmic recommendations...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
We propose a two by two experiment that investigates how humans respond to recommendations based on ...
How fast we interact with technology has been one of the most salient topics for both the users and ...
The past decade has seen incredible strides made in the ability for computers and algorithms to fore...
We investigate the relation between speed and accuracy within problem solving in its simplest non-tr...
Algorithms consistently perform well on various prediction tasks, but people often mistrust their ad...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
Optimal decision making requires appropriate evaluation of advice. Recent literature reports that al...
Algorithms play an increasingly ubiquitous and vitally important role in modern society. However, re...
It has been long acknowledged that computational prediction procedures may yield more accurate predi...
We experimentally investigated the relationship between participants' reliance on algorithms, their ...
How is algorithmic model interpretability related to human acceptance of algorithmic recommendations...
Research shows that evidence-based algorithms more accurately predict the future than do human forec...
We propose a two by two experiment that investigates how humans respond to recommendations based on ...
How fast we interact with technology has been one of the most salient topics for both the users and ...
The past decade has seen incredible strides made in the ability for computers and algorithms to fore...
We investigate the relation between speed and accuracy within problem solving in its simplest non-tr...