/** * jsPsych plugin for showing scenes that mimic the experiments described in * * Fiser, J., & Aslin, R. N. (2001). Unsupervised statistical learning of * higher-order spatial structures from visual scenes. Psychological science, * 12(6), 499-504. * * Josh de Leeuw * February 2014 * * * parameters: * stimuli: array of arrays describing scenes. each interior array should have dimensions * equal to the size of the desired grid. for example, a 3 x 3 grid with stimuli along * the top-left to bottom-right diagonal would be declared like this: * * var s = [ * [ "img_path", 0, 0 ], * [ 0, "img_path", 0 ], * [ 0, 0, "img_path" ] * ] * * for blank spaces in the grid, you need to put a 0 in the corresponding location. * image_size: array [width, height] - how big to draw the stimuli * timing_duration: how long to show the scene * timing_post_trial: how long to show blank screen after trial * data: the optional data object * */ (function($) { jsPsych['vsl-grid-scene'] = (function() { var plugin = {}; plugin.create = function(params) { var trials = new Array(params.stimuli.length); for (var i = 0; i < trials.length; i++) { trials[i] = {}; trials[i].type = "vsl-grid-scene"; trials[i].stimuli = params.stimuli[i]; trials[i].image_size = params.image_size || [100, 100]; trials[i].timing_post_trial = (typeof params.timing_post_trial === 'undefined') ? 1000 : params.timing_post_trial; trials[i].timing_duration = (typeof params.timing_duration === 'undefined') ? 2000 : params.timing_duration; //trials[i].prompt = (typeof params.prompt === 'undefined') ? "" : params.prompt; trials[i].data = (typeof params.data === 'undefined') ? {} : params.data; } return trials; }; plugin.trial = function(display_element, block, trial, part) { display_element.html(plugin.generate_stimulus(trial.stimuli, trial.image_size)); setTimeout(function() { endTrial(); }, trial.timing_duration); function endTrial() { display_element.html(''); block.writeData($.extend({}, { "trial_type": "vsl-grid-scene", "trial_index": block.trial_idx, "stimuli": JSON.stringify(trial.stimuli) }, trial.data)); if (trial.timing_post_trial > 0) { setTimeout(function() { block.next(); }, trial.timing_post_trial); } else { block.next(); } } }; plugin.generate_stimulus = function(pattern, image_size) { var nrows = pattern.length; var ncols = pattern[0].length; // create blank element to hold code that we generate $('body').append($('
', { id: 'jspsych-vsl-grid-scene-dummy', css: { display: 'none' } })); // create table $('#jspsych-vsl-grid-scene-dummy').append($('', { id: 'jspsych-vsl-grid-scene-table', css: { 'border-collapse': 'collapse', 'margin-left': 'auto', 'margin-right': 'auto' } })); for (var row = 0; row < nrows; row++) { $("#jspsych-vsl-grid-scene-table").append($('', { id: 'jspsych-vsl-grid-scene-table-row-' + row, css: { height: image_size[1] + "px" } })); for (var col = 0; col < ncols; col++) { $("#jspsych-vsl-grid-scene-table-row-" + row).append($('
', { id: 'jspsych-vsl-grid-scene-table-' + row + '-' + col, css: { padding: image_size[1] / 10 + "px " + image_size[0] / 10 + "px", border: '1px solid #555' } })); $('#jspsych-vsl-grid-scene-table-' + row + '-' + col).append($('
', { id: 'jspsych-vsl-grid-scene-table-cell-' + row + '-' + col, css: { width: image_size[0] + "px", height: image_size[1] + "px" } })); } } for (var row = 0; row < nrows; row++) { for (var col = 0; col < ncols; col++) { if (pattern[row][col] !== 0) { $('#jspsych-vsl-grid-scene-table-cell-' + row + '-' + col).append($('', { src: pattern[row][col], css: { width: image_size[0] + "px", height: image_size[1] + "px", } })); } } } var html_out = $('#jspsych-vsl-grid-scene-dummy').html(); $('#jspsych-vsl-grid-scene-dummy').remove(); return html_out; }; return plugin; })(); })(jQuery);