ArticleBrain sciences2022
The Development of a Multi-Modality Emotion Recognition Test Presented via a Mobile Application.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Development and Validation of a Multimodal Emotion Recognition Ability Test Based on the Chinese Cultural Context.Journal of Intelligence · 2026Article
- Disgust-specific impairment of facial emotion recognition in Parkinson's disease patients with mild cognitive impairment.Social cognitive and affective neuroscience · 2024Article
- Mild cognitive impairment in patients with Parkinson's disease: An updated mini-review and future outlook.Frontiers in aging neuroscience · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Emotion recognition ability is the basis of interpersonal communication and detection of brain alterations. Existing tools for assessing emotion recognition ability are mostly single modality, paper-and-pencil test format, and using only Western stimuli. However, various modalities and cultural factors greatly influence emotion recognition ability. We aimed to develop a multi-modality emotion recognition mobile application (MMER app). A total of 169 healthy adults were recruited as participants. The MMER app's materials were extracted from a published database, and tablets were used as the interface. The Rasch, factor analysis, and related psychometric analyses were performed. The Cronbach alpha was 0.94, and the test-retest reliability was 0.85. Factor analyses identified three factors. In addition, an adjusted score formula was provided for clinical use. The MMER app has good psychometric properties, and its further possible applications and investigations are discussed.
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Registered trials
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