analyses_obj_puzzle.xls dataset of the study "Blind people can actively manipulate virtual objects" in partial fulfillment of a submission to Scientific Reports (SREP-23-00924A)

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 Brayda

The 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 participant

The 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 ID
• gender
• resolution[1,2,3] -> categorical variable indicating one of three resolution of the map: 2x2, 2x3 and 3x3
• group[1,2] -> counterbalanced order of presentation of stimuli
• horizontal[1/0] -> whether the participant was asked to build a horizontal (1) or vertical (0) parallelepiped
• trial match[1,0] -> whether the participant did build what was asked (1) or not (0)
• execTime[s] -> how long the trial lasted, in seconds
• nMovements -> how many times the participant pushed any of the four directional buttons of the keyboard
• idealManhDistance -> what is the minimal amount of movements that the participant can do to build the requested object
• targetManhDistance-> what is the actual amount of movements that the participant performed
• efficiencyMov(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 requested
• efficiencyDist(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 0
• uncertainty(accuracy/execTime) -> a measure of efficacy of being accurate over time
• mouseUse[s] -> the amount of time the TAMO3 was actively moved on the tablet
• keyboardUse[s] -> the amount of time the keyboard buttons where pressed
• restTime[s] -> the amount of time no action or motion were detected
• totalTime[s] -> the total trial time
• averageSpeed[mm/s] -> the average speed of the TAMO3 across the trial
• percentageMouseUse[%] -> portion of time spent in moving the TAMO3

The 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