=Paper= {{Paper |id=Vol-3685/short14 |storemode=property |title=The Role of Customization in Supporting Speech Therapy: the Case of e-SpeechT |pdfUrl=https://ceur-ws.org/Vol-3685/short14.pdf |volume=Vol-3685 |authors=Vita Santa Barletta,Miriana Calvano,Antonio Curci,Rosa Lanzilotti,Antonio Piccinno |dblpUrl=https://dblp.org/rec/conf/avi/BarlettaCCLP24 }} ==The Role of Customization in Supporting Speech Therapy: the Case of e-SpeechT== https://ceur-ws.org/Vol-3685/short14.pdf
                                The Role of Customization in Supporting Speech
                                Therapy: the Case of e-SpeechT
                                Vita Santa Barletta1 , Miriana Calvano1 , Antonio Curci1,2 , Rosa Lanzilotti1 and
                                Antonio Piccinno1
                                1
                                    University of Bari "Aldo Moro", Via Edoardo Orabona 4, 70125, Bari, Italy
                                2
                                    University of Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy


                                               Abstract
                                               Speech therapy is the medical field in which speech impairments are treated. It mainly concerns the
                                               inability of people to adequately enunciate words, to construct and elaborate appropriate sentences
                                               when speaking, and generally lack linguistic skills.
                                                    This research work presents a software system, called e-SpeechT, supporting speech therapies
                                               performed in presence and remotely from both physicians’ side and other actors involved in the therapies,
                                               i.e., patients, caregivers, and also teachers, schools, etc. The study explores the requirements and
                                               functionalities with respect to customization elements and how Artificial Intelligence (AI) can support
                                               all parties involved in the process in performing their tasks. The system was designed and developed
                                               following the participatory design focusing on the different roles, experiences, and demands of the
                                               involved end users and inviting them to contribute from different perspectives.

                                               Keywords
                                               Participatory design, Speech Therapy, Customization, Software engineering, Artificial Intelligence (AI),




                                1. Introduction
                                Today, medicine is constantly being exposed to innovative technologies, and new products and
                                services. Many professionals are beginning to trust the use of new instruments to perform
                                their daily activities, such as administering therapies to their patients. This research work
                                focuses on speech therapy and how technology can be a powerful instrument to support all
                                parties involved. More specifically, this case study examines the roles of speech therapists,
                                caregivers, and patients who are children aged 4 to 7 years. Speech therapy refers to the medical
                                field that focuses on the study of linguistic impairments that can negatively influence the
                                personal and professional sphere of an individual, affecting his ability to understand and use
                                spoken language with others [1]. However, subjects who suffer from speech disorders can
                                be rehabilitated by performing exercises that aim to strengthen the muscles of the face and
                                throat, as well as their cognitive skills [2]. The traditional approach to speech therapy, without
                                the aid of technology, is characterized by limitations in multiple aspects, such as accessibility,

                                Proceedings of the 8th International Workshop on Cultures of Participation in the Digital Age (CoPDA 2024): Differenti-
                                ating and Deepening the Concept of "End User" in the Digital Age, June 2024, Arenzano, Italy
                                $ vita.barletta@uniba.it (V. S. Barletta); miriana.calvano@uniba.it (M. Calvano); antonio.curci@uniba.it (A. Curci);
                                rosa.lanzilotti@uniba.it (R. Lanzilotti); antonio.piccinno@uniba.it (A. Piccinno)
                                 0000-0002-0163-6786 (V. S. Barletta); 0000-0002-9507-9940 (M. Calvano); 0000-0001-6863-872X (A. Curci);
                                0000-0002-2039-8162 (R. Lanzilotti); 0000-0003-1561-7073 (A. Piccinno)
                                             © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
feasibility, and personalization. The introduction of e-health becomes crucial because it has the
goal of overcoming the challenges of patients and physicians when dealing with medical issues,
gaining benefits in terms of costs and time resources [3].
   In the current scenario, there are systems and mobile applications developed to support
patients to perform therapy’s activities and therapists to administer the treatment. For instance,
Happi Scrive 1 and KidEWords 2 are two crossword puzzle applications for children used for
the development of writing skills through an attractive graphical interface. Another example
is Teach and Touch 3 which is an application designed to support the speech therapist when
administering the therapy; the child is allowed to perform a personalized rehabilitation path on
specific morphosyntactic difficulties.
   In this context, a new web application integrating AI and customization functionalities, called
e-SpeechT, can be introduced.
   The integration of Artificial Intelligence (AI) in this scenario provides new solutions based
on the needs and requirements of patients and therapists by not only providing functionalities
that allow to automate tasks and reduce the cognitive demand of repetitive activities, but also
by supporting the management and evolution of the system [4, 5]. In particular, patients can be
able to perform therapies in the comfort of their homes, while allowing continuous monitoring
and control from therapists to obtain a broader and more complete understanding of their
patient’s medical situation [6, 7].
   Customization in e-health has the potential of revolutionizing speech therapies promoting
inclusion and the establishment of a symbiosis between humans and machines.
   This paper presents and describes a web-application, called the e-SpeechT, created to support
the actors involved (e.g. patients, caregivers and therapists) while performing, administering, and
managing therapy; through the integration of AI techniques these activities can be automated
and the system can be further adaptable to the patient’s performance.
   This solution aims to improve the effectiveness and accessibility of speech rehabilitation,
showing the requirements and architectural components of e-SpeechT and illustrating how
artificial intelligence is integrated into it.


2. e-SpeechT Design
e-SpeechT was developed according to the SCRUM framework, as an agile project; the framework
proved to be powerful and useful, especially due to its iterative nature and flexibility since it
allows one to meet user needs efficiently and effectively [8]. Speech therapists were involved
throughout the process, employing the Human-Centered Design (HCD), which allowed to
obtain rich insights into their needs and preferences to create compliant solutions [9]. The
ultimate objective is to create an interactive system that can be customizable and tailorable by
end users as domain experts in the design team [10].



1
  https://apps.apple.com/it/app/happi-scrive/id464675842
2
  https://apps.apple.com/it/app/kidewords-by-chocolapps/id879490139
3
  http://www.teachandtouch.it/
2.1. Requirements
User requirements are fundamental when designing or developing any kind of software; they
describe the functionalities the final system will have and provide guidance regarding the
priority of tasks and activities to carry out throughout the process.
   For e-SpeechT, a number of actors were identified: speech therapist, caregiver, patient, school,
teacher, and others to encompass the multi-faceted roles that end users can play, but for sake of
simplicity, only the three main actors are here represented. The requirements were grouped in
three different categories, one for each type of the main actors, and elicited through multiple
interviews involving professionals. Through their collaboration in every sprint of the SCRUM
process, it was possible to understand their preferences, priorities and needs, as well as those
belonging to caregivers and patients. Some of the main requirements and the corresponding
functionalities, that were identified for each role, are listed below and are represented in Figure
1.

Speech therapist Speech therapists are professionals who organize, manage and administer
therapies to children; they also have the important duty of communicating and helping care-
givers, such as parents, to help their children throughout the process [11]. In particular, the
application must allow therapists to:

    • Create and manage diagnoses for their patients.
    • Share words and exercises with other professionals who use it.
    • Manage appointments and schedule them, even in their office.
    • Verify the results of a therapy performed by a patient.
    • Be supported by an automatic correction feature to reduce their workload, while allowing
      them to change the decisions they made to keep professionals in control.
    • Send notifications to patients about the status of their therapy.
    • Automatically classify new patients according to the level of severity of their impairment.
    • Change the criteria based on which the patients are classified by the system.

Caregiver Caregivers are the intermediaries between therapists and patients. This is a case
of multi-tiered proxy design problems in which the end user, who must be able to tailor and
customize the system, and the caregiver do not coincide with the actual end user of the system,
i.e. the child [12]. Caregivers have to follow them and ensure that their children perform all
assigned tasks, as well as accompanying them to appointments. In particular, the application
must allow caregivers to:

    • Start and stop the child’s execution of a therapy.
    • Manage the way the system is presented to the child, in terms of wallpapers, scenarios,
      and graphical elements.

Patient Patients are the target of therapies and are affected by speech impairments of different
degrees of severity. Their age ranges from 4 to 7 years old. The requirements collected for their
personal area of e-SpeechT state that the system must:
    • Display playful and gaming aspects to avoid feelings of stress or frustration.
    • Include gamification, encompassing game mechanics such as rewards and playful feed-
      back.
    • Allow the child to log in without the aid of a professional or caregiver.


                         Speech System
                                       Create
                                      Diagnosis
                                                                  Perform
                                                      Create     Exercises
                                                     Therapy

                                    Create                                        Patient
                                   Exercises


                                          Correct
            Speech                       Exercises                Manage
           Therapist                                              Scenario
                                          Manage
                                          Therapy                  Manage
                                                               Child's Personal
                                                                     Data
                                 Set
                              Thresholds
                                                               End Therapy
                                              Manage
                                            Appointments
                                                               Start Therapy      Caregiver




Figure 1: Use Cases Diagram representing the actors and the respective functionalities.




3. Customizing the e-SpeechT Behavior
After eliciting the requirements, creating the use cases, and carrying out the preliminary phases
of the Human-Centered Design (HCD), e-SpeechT was designed and developed. This section
illustrates how customization plays a pivotal role in the web application and how it aims to
guarantee the user-specific solutions to health problems, carry out the right diagnoses and
avoid stress, boredom and frustration. e-SpeechT embodies End-User-Development (EUD) in
multiple aspects and functionalities, which differ depending on the type of user involved.

3.1. Speech-Therapist’s Participation
The e-SpeechT application allows different types of intervention, from customization to EUD
activities, to personalize its behavior. From the Speech Therapist’s side, the application allows to
create new examples to evaluate their patients, since each word is characterized by peculiarities
that result in different outcomes in exercises; it is also possible to assign images to words with
no constraints, meaning that therapists can pick images that bring continuity to the work done
during on-site appointments. Exercises can be created and designed based on patients’ needs,
diagnosis and level of impairment; they belong to one of the three categories - i.e., naming
images, minimum pair recognition and repetition of words
   In addition, therapists are free to create and modify therapies depending on the patient and
their diagnosis by manipulating attributes like exercises to be administered, beginning and
end date and date, time and place of the appointment. Therapies can contain one or multiple
exercises, which can be administered individually or through series.
   e-SpeechT offers an exercise automatic correction functionality, which exploits machine
learning and speech recognition algorithms in order to facilitate the process of correcting
exercises from the therapist’s standpoint. They are used to adapt how the system behaves
according to specific groups of patients. Thresholds are used to adjust the level of strictness
of the system when it comes to automatically correct exercises during the evaluation of the
patient’s vocal interaction; three categories of thresholds are available, which depend on three
levels of severity of impairments: Moderate, Severe, and Slight, as shown in Figure 2.




(a) Customization of the thresholds of the auto-           (b) Customization of the Patient’s area
    matic correction
Figure 2: Examples of functionalities that include user’s preferences and customization



3.2. Participation of the Caregiver
User-specific personalization is crucial to ensure that patients (children aged from 4 to 7 years
old) feel welcomed, comfortable, and not under examination.
   In e-SpeechT, scenarios are used to differentiate the style, aesthetic and atmosphere of the
patient’s page during the therapy sessions, when carrying out exercises. Caregivers, through
EUD activities, are able to modify the whole scenarios by choosing among the ones proposed
by the system or creating a new one from scratch. Visual familiarity can prevent children from
feeling examined or judged.
   Another important aspect of the the system lies in setting a graphical password for the patient,
which children are able to log in the application with.


4. Discussion and Future works
This research work presents a web-application, e-SpeechT, that aims at supporting therapists,
patients, and caregivers during treatments. It describes the design and development process
of the application in question, which was performed in accordance with the Human-Centered
Design highlighting its participatory process. In this way, the role of the end users can be
further investigated to analyse how they are progressing into active participants during the
design and development phases.
   In this context, e-health systems that include AI can bring advantages automating tasks
performed by therapists and providing patient-specific solutions. Additionally, through the
improvement of speech recognition algorithms it would be possible to easily and automatically
detect errors in enunciating/repeating words [13]. However, AI can present some limitations
such as, for example, the limited context understanding and the risk of overreliance. For this
reason, it is necessary to guarantee the right balance between the technology and the human
intervention in clinical practice.
   Another important aspect is to understand how to guarantee the correct balance between
the end users’ contribution and how to guarantee that they will be motivated to contribute to
the system’s performance over long periods of time. Therefore, as a starting point, usability
studies were carried out to understand the weaknesses and strengths of the system; as a future
work, it is intended to conduct a longitudinal study to test the medical feasibility by gathering
information on how children respond to therapies when using the system in question and
whether all the involved actors continue to be motivated to use e-SpeechT.
   Future work also involve conducting tests to evaluate the application with respect to the
WCAG (Web Content Accessibility Guidelines)4 ; this is an important aspect because this appli-
cation is primarily aimed at individuals possibly affected by disabilities.
   Another future work is to expand the application’s environment by integrating smart assis-
tants and Internet of Things (IoT) devices. This feature has the objective of automatizing the
process of guiding children in their daily activities when having to carry out exercises at home.
This project has already started, but is still in its early development stages.
   In conclusion, the intersection between speech therapy and technology can revolutionize the
approach to deal with speech disorders. However, it is important to underline that the role of
AI in this scenario is not a panacea, but an instrument capable of helping users perform their
tasks without replacing them.

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