README file
Data Set Title: 
“MAIA Stroke Patients Interviews”
The file reference: 
MAIA_WP3_T3-2_StrokePatientsInterview_20230810_v01.rtf
Data Set Authors: 
Dr Sara Ventura (Department of Psychology, University of Bologna, Italy), ORCID: 0000-0002-3851-7246), email: sara.ventura7@unibo.it;
Dr Giovanni Ottoboni (Department of Psychology, University of Bologna, Italy), ORCID: 0000-0002-7649-6642), email: giovanni.ottoboni@unibo.it;
Dr Giada Lullini, (IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy), ORCID: 0000-0002-0669-298X, email: giada.lullini@isnb.it;
Dr Fabio La Porta, (IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy), ORCID: 0000-0002-5031-6658, email: fabio.laporta@ausl.bologna.it;
Professor Alessia Tessari (Department of Psychology, University of Bologna, Italy), ORCID: 0000-0002-6616-2454, email: alessia.tessari@unibo.it.  
Data Set Contributors:
Professor Roberto Piperno (IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy), ORCID: 0000-0002-2251-9191;
Dr Laura Simoncini (Montecatone Rehabilitation Institute, Imola, Italy), ORCID: 0000-0002-8853-1791;
Dr Elisabetta Magni (IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy);
Professor Rabih Chattat (Department of Psychology "Renzo Canestrari", University of Bologna, Italy), ORCID: 0000-0002-3889-2839;
Professor Patrizia Fattori (Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy), ORCID: 0000-0002-0079-3755); 
Professor Annalisa Bosco (Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy), ORCID: 0000-0003-3032-9571).
Data Set Contact Persons: 
Professor Alessia Tessari (Department of Psychology, University of Bologna, Italy), ORCID: 0000-0002-6616-2454, email: alessia.tessari@unibo.it;  
Data Set License: 
The data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/. 
Publication Year: 
2023
Project Info: 
MAIA (Multifunctional, adaptive and interactive AI system for Acting in multiple contexts), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 951010 - MAIA; Official site: https://site.unibo.it/maia-fetproact/en.  

Data set Contents and documentation
Abstract: 
The dataset contains the post-stroke patients’ and caregivers’ interviews carried out during the Horizon 2020 MAIA project to explore the impact of motor disability on their lives, previous experiences with assistive technologies, opinions, and attitudes about MAIA and their needs.
The data set consists of:
The transcription of the interviews provided by stroke patients and stroke patients' caregivers. 
The interviews are listed one after the other: before there are the four caregivers’ interviews, then the twelve stroke patients' interviews. The participants are labelled with codes. The codes are composed of a letter and a number. The letter “P” stays to identify a stroke patient; The letter “C” stays to identify a caregiver. 
No personal data or data that could refer to their person are reported. Participants' names are removed, and NOME is used, TECNOLOGIA masks the name of the technology participants used, STRUTTURA masks the name of the hospital/ structure, LUOGO for any towns, villages or places, LAVORO instead of specific job. The transcriptions are reported verbatim as they were produced: the used language was Italian.
For more information, please refer to
1.	Ottoboni, G., La Porta, F., Piperno, R., Chattat, R., Bosco, A., Fattori, P., & Tessari, A. (2022). A Multifunctional Adaptive and Interactive AI system to support people living with stroke, acquired brain or spinal cord injuries: A study protocol. PLOS ONE, 17(4), e0266702. doi: 10.1371/journal.pone.0266702
2.	Ventura, S., Ottoboni, G., Lullini, G., Chattat, R., Simoncini, L., Magni, E., Piperno, R., La Porta, F., & Tessari, A. (Under Review). Co-designing an Interactive Artificial Intelligent system with post-stroke patients and caregivers to augment the lost abilities and improve their quality of life: A human-centric approach. Frontiers in Public Health. Doi: 10.3389/fpubh.2023.1227748
3.	https://site.unibo.it/maia-fetproact/en