HCCYNov 11, 2015

Low-Cost Eye-Trackers: Useful for Information Systems Research?

arXiv:1511.04308v126 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the cost barrier for researchers in information systems by validating an affordable eye-tracking tool, though it is incremental in nature.

The study evaluated the Gazepoint GP3 low-cost eye-tracker for information systems research, finding it suitable when experimental designs account for its limitations.

Research investigating cognitive aspects of information systems is often dependent on detail-rich data. Eye-trackers promise to provide respective data, but the associated costs are often beyond the researchers' budget. Recently, eye-trackers have entered the market that promise eye-tracking support at a reasonable price. In this work, we explore whether such eye-trackers are of use for information systems research and explore the accuracy of a low-cost eye-tracker (Gazepoint GP3) in an empirical study. The results show that Gazepoint GP3 is well suited for respective research, given that experimental material acknowledges the limits of the eye-tracker. To foster replication and comparison of results, all data, experimental material as well as the source code developed for this study are made available online.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes