Article Instance
API Endpoint for journals.
GET /api/articles/28398/?format=api
{ "pk": 28398, "title": "HBU: Human Behavior Understanding by Choice Reaching", "subtitle": null, "abstract": "Existing psychophysiological measures (fMRI, EEG) are impractical for a large-scale behavioral study due to their exor-bitant data acquisition cost. Psychological tests (Stroop task) are economical but are too coarse to inform dynamic interac-tions among perceptual, cognitive, and affective processes. By augmenting standard cognitive tests with choice-reachingmeasures, the complex interaction of motivation, action and cognition can be examined by analyzing the movement of thecomputer cursor pixel by pixel. Open source software and R library mousetrap help researchers to collect mouse-cursortrajectory data easily. With continued interest and innovation, the mouse-cursor trajectory method is likely to become astandard procedure for psychological tests, especially for the study investigating individual differences underlying cog-nitive, affective, and perceptual processing (Xiao & Yamauchi, 2014; Yamauchi et al., 2015; Yamauchi & Xiao 2017;Leontyev, Sun, Wolfe, & Yamauchi, 2018).", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Abstracts-Posters", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/0k42x3c2", "frozenauthors": [ { "first_name": "Takashi", "middle_name": "", "last_name": "Yamauchi", "name_suffix": "", "institution": "Texas A&M University", "department": "" }, { "first_name": "Anton", "middle_name": "", "last_name": "Leontyev", "name_suffix": "", "institution": "Texas A&M University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2018-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28398/galley/18168/download/" } ] }