Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Effects of Interactive AI Design on User Behavior: An Eye-tracking
  Study of Fact-checking COVID-19 Claims   We conducted a lab-based eye-tracking study to investigate how the
interactivity of an AI-powered fact-checking system affects user interactions,
such as dwell time, attention, and mental resources involved in using the
system. A within-subject experiment was conducted, where participants used an
interactive and a non-interactive version of a mock AI fact-checking system and
rated their perceived correctness of COVID-19 related claims. We collected
web-page interactions, eye-tracking data, and mental workload using NASA-TLX.
We found that the presence of the affordance of interactively manipulating the
AI system's prediction parameters affected users' dwell times, and
eye-fixations on AOIs, but not mental workload. In the interactive system,
participants spent the most time evaluating claims' correctness, followed by
reading news. This promising result shows a positive role of interactivity in a
mixed-initiative AI-powered system.

13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ