analyses_obj_puzzle.xls

The project contains open data, in partial fulfillment of a submission to Scientific Reports (SREP-23-00924A) for the manuscript: Blind people can actively manipulate virtual objects with a novel tactile device authored by Mariacarla Memeo, Giulio Sandini, Elena Cocchi, and Luca BraydaThe dataset contains two sheets.The first sheet 'discreteMeasures' contains the values of independent and dependent variables, for all participants, with one row for each trial of each participantThe second sheet 'averageMeasures', instead, computes variables across all trials of a single participant, for a single resolution of the environment. Therefore all trials of a certain resolution are collapsed in a single row.We label data as follows:ID -> the participant IDgenderresolution[1,2,3] -> categorical variable indicating one of three resolution of the map: 2x2, 2x3 and 3x3group[1,2] -> counterbalanced order of presentation of stimulihorizontal[1/0] -> whether the participant was asked to build a horizontal (1) or vertical (0) parallelepipedtrial match[1,0] -> whether the participant did build what was asked (1) or not (0)execTime[s] -> how long the trial lasted, in secondsnMovements -> how many times the participant pushed any of the four directional buttons of the keyboardidealManhDistance -> what is the minimal amount of movements that the participant can do to build the requested objecttargetManhDistance-> what is the actual amount of movements that the participant performedefficiencyMov(1+nmov/1+idealManh) -> the ratio of the actual amount of movements with respect to the ideal number of movements that led to the correct solution. The number can be lower than one in case the participants is building an object different that what is requestedefficiencyDist(1+targetManh/1+idealManh) -> same as above, but in terms of Manhattans distance. This number does not take into account movements back and fourth the same position, therefore it consider only the starting and ending position of the object.efficiencyDiff(targetMahn-idealMahn/targetMahn+idealMahn) -> a meaasure of consistency between ideal and target Manhattan distance. If it is equal to 1, the match is certainly 0uncertainty(accuracy/execTime) -> a measure of efficacy of being accurate over timemouseUse[s] -> the amount of time the TAMO3 was actively moved on the tabletkeyboardUse[s] -> the amount of time the keyboard buttons where pressedrestTime[s] -> the amount of time no action or motion were detectedtotalTime[s] -> the total trial timeaverageSpeed[mm/s] -> the average speed of the TAMO3 across the trialpercentageMouseUse[%] -> portion of time spent in moving the TAMO3The sheet "averageMeasures" contains average and standard deviations of most of the variables above, computed across all trials of a given resolution of a given subject