Does Eyetracking Have an Effect on Economic Behavior?

Working Paper: NBER ID: w28223

Authors: Jennifer Kee; Melinda Knuth; Joanna Lahey; Marco A Palma

Abstract: Eye-tracking is becoming an increasingly popular tool for understanding the underlying behavior driving economic decisions. However, an important unanswered methodological question is whether the use of an eye-tracking device itself induces changes in the behavior of experiment participants. We study this question using eight popular games in experimental economics. We implement a simple design where participants are randomly assigned to either a control or an eye-tracking treatment condition. In seven of the eight games, eye-tracking did not produce different outcomes. In the Holt and Laury risk assessment (HL), subjects with multiple calibration attempts behave like outliers under eye-tracking conditions, skewing the overall results. Further exploration shows that poor calibrators also show marginally higher levels of negative emotion, which is correlated with higher risk aversion in both HL and in the Eckel and Grossman gambling tasks. Because difficulty calibrating is correlated with eye-tracking data quality, the standard practice of removing participants who did not have good eye-tracking data quality resulted in no difference between the treatment and control groups in HL. Our results suggest that experiments may incorporate eye-tracking equipment without inducing changes in the economic behavior of participants, particularly after observations with low eye-tracking quality are removed.

Keywords: No keywords provided

JEL Codes: C9; D03; D8


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
calibration attempts (C59)risk aversion (D81)
eyetracking (C91)economic behavior (D22)
poor eyetracking data quality (C91)no significant differences (C52)

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