Evidence map›Paper›PMID 42587888›Full record

ArticleFoods (Basel, Switzerland)2026

Integrating Eye Tracking and Self-Report for Sensory-Emotion Evaluation of Red Bean and Coix Seed Water: A Complementary Validation Framework.

Haoqun Zhang, Yue Zhao, Yuli Hao, Xiaojing Leng, Yizhen Huang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haoqun ZhangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0009-0006-5229-0005
Yue ZhaoFaculty of Health and Wellness, City University of Macau, Macau SAR, China.
Yuli HaoCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Xiaojing LengCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Yizhen HuangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-5610-3055

Funding

National Key R&D Program of China 2024YFD2101504National Key R&D Program of China 2024YFF1106601
6 · The paper itself

Abstract

To examine whether gaze behavior on the rating scale can complement conventional self-report, twenty-four volunteers evaluated three red bean and coix seed water beverages on sensory attributes, EsSense-based emotional terms, and preference, while their fixations on the response scale were recorded using a synchronous area-of-interest design. Two indices were extracted: the questionnaire rating (QR), reflecting the consciously selected score, and the eye tracking-derived rating (ETR), defined as the longest-fixated score option. QR and ETR were strongly correlated (ICC: 0.88-0.89) and produced an identical preference ranking (R1 > R2 > R3), yet the wide limits of agreement indicated that they are not interchangeable at the individual level. Across the sensory-preference, sensory-emotion, and emotion-preference layers, QR consistently yielded stronger correlations than ETR. Warmth and sweetness were positively associated with positive emotions and liking, and "Good-natured" was the most stable emotional correlate of liking. Gaze behavior thus provides a process-oriented complement to, rather than a replacement for, self-report.

Indexed as

area of interest (AOI)consumer preferenceeye trackingimplicit and explicit measuresself-report questionnairesensory–emotion evaluation

Identifiers

PMID42587888
PMCPMC13465325

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.