alexis_110 = loudspeaker experiment
alexis_111 = vocalization experiment

#datasets

data_sound_analysis: it contains the rawdata of the click's acoustic analysis.

raw_data_loudspeaker_experiment: it contains data rawdata needed to create Fig 5. 

raw_data_vocalization_experiment: it contains data rawdata needed to create Fig 6. 

alexis111_self_generated: list of calculated thresholds for Fig 6. It simplfies the coding and analysis. 

Echobot_analysis_script:  R script that analysis Fig 5 and Fig 6 data.

#Code_book

Numbers on the left just indicate the row number.

id = participant's identification code. It goes from 8001 (first participant) to 8015 (last participant).

date = year, month, and day the trial was recorded.

time = specific hour, minute, and second the trial was recorded.

session = number of the session. It goes from 1 to 12 sessions.

trial = number of the trial per session.

correct = correct answer (0 means non-reflecting disc, while 1 means reflecting disc).

increment = amount of meters gained when the answer is correct, or amount of meters lost when the
answer is incorrect.

distance = currect location of the  Echobot on the rail in meters.

trend = staircase increase or decrease. 1 = Echobot moves farther, -1 Echobot moves closer.

reversal = trial where reversal happened. It goes from 1 to 12 per session.

sdt = type of response. fa = false alarm, cr = correct response, m = miss, and h = hit.


alexis110_individual_thresholds_loudspeaker:

id = participant's identification code. It goes from 8001 (first participant) to 8015 (last participant).

session = number of the session. It goes from 1 to 12 sessions.

th = mean threshold per session expressed in meters. 

Dates are the same ones than in Alexis110_alldata.


alexis110_self_generated

Numbers on the left just indicate the row number.

id = participant's identification code. It goes from 7001 (first participant) to 7003 (last participant).

session = number of the session. It goes from 1 to 12 sessions.

th = mean threshold per session expressed in meters. IMPORTANT! 0.70m should be substracted of every th to
adjust for the participant's real distance from the Echobot. 



alexis110 & alexis111 scripts:


#scripts & sound files

btaddr= Echobot object

calibrate1 = calibration script generates a 1 kHz tone for 60 s.

calibrate2 = calibration script presents the click 10 times in a row, separated by 1 s.

calibrate3 = This script presents the click at various distances.

demo = plays a signal with the disk located at closets distance. On odd trials in non-reflecting position and on even trials in reflecting position.

E1 = click signal taken from Thaler et al., 2017: click  EE1.

echobot_client = library that moves the Echobot.

echobot_masker = masking noise. It sounds when the Echobot moves.

Loudspeaker_experiment = The echobot experiment with loudpseaker (Alexis110).

mn = Useful functions for sound experiments.

parameters = general settings for pratice and demo.

parameters_110 = general settings for Alexis110.

parameters_111 = general settings for Alexis111.

practice = practice session of the Echobot.

runexp_stimuli = Simulation to determine expected threshold for a random responder.

Vocalization_experiment = The echobot experiment with vocalizations (Alexis111).

# sounds recordings
zfel = voice recoring saying "wrong"

zratt = voice recoring saying "right"

zslut_kort = voice recoring saying "time for a short break"

zstlug_lang = voice recoring saying "time for a long break"

ztack = voice recoring saying " That's it for today, thanks for your work"

# For acoustic analysis

All the take2 recordings: wav files used for the acoustic analysis.

a110_sound_analys_fig3: R script to create Fig 3.

a110_sound_analys_fig4: R script to create Fig 4.

a110_soundanalys_data: sound analysis  data of recordings in the Echobot.

files_fixed: needed for runnig script a110_sound_analys_fig3.