Paper Citation Record · LEDGER

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load

As of 8 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2505.21982.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.21982 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:02.722222Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e40039b6-3124-47cb-a24e-42cf63dc3528 · outbound

This paper cites As UX researchers, we’ve long wrestled with a fundamental challenge: users don’t always know-or can’t articulate-what drives their interactions.

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load As UX researchers, we’ve long wrestled with a fundamental challenge: users don’t always know-or can’t articulate-what drives their interactions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:03.709181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d07c86c-e3d2-42c8-837a-f99509c3ad1a · outbound

This paper cites Cognitive load, meanwhile, reflects the mental resources demanded by a task, with high load often signalling poor usability (Sweller, 1988).

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load Cognitive load, meanwhile, reflects the mental resources demanded by a task, with high load often signalling poor usability (Sweller, 1988)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:03.572620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51015c5f-65e6-4713-b39b-601d8057c025 · outbound

This paper cites In UX, this shines a light on design efficacy.

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load In UX, this shines a light on design efficacy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:03.395254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a83b6e75-aa3a-4b21-9151-76c5a531baa0 · outbound

This paper cites Tullis and Albert (2013) note eye-tracking’s ability to reduce subjective bias, while Ward and Marsden (2003) highlight biometrics’ sensitivity to emotional states.

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load Tullis and Albert (2013) note eye-tracking’s ability to reduce subjective bias, while Ward and Marsden (2003) highlight biometrics’ sensitivity to emotional states

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:03.270043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ee7f611-2d70-4f3e-bdcc-3fb7056d4e05 · outbound

This paper cites They scale with complexity- ideal for testing immersive VR or multi-step workflows- and benefit from affordable hardware, such as Tobii’s consumer-grade trackers.

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load They scale with complexity- ideal for testing immersive VR or multi-step workflows- and benefit from affordable hardware, such as Tobii’s consumer-grade trackers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:03.077686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0595db7f-0b93-4e46-ba29-d83b585d1a18 · outbound

This paper cites Eye-tracking in usability and UX research: A systematic review.

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load Eye-tracking in usability and UX research: A systematic review

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:02.950707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 53104bbd-97a2-4006-b107-5c0b00e1b374 · outbound

This paper cites https://www.tandfonline.com/doi/full/10.1080/10447318.2023.2221600 3.

Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load https://www.tandfonline.com/doi/full/10.1080/10447318.2023.2221600 3

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:02.722222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.