Intervention Platform for Action Observation and Motor Imagery Training After Stroke: Usability Test.

Action observation (AO) and motor imagery (MI) are considered as promising therapeutic approaches in the rehabilitation of patients after a stroke (PaS). Observing and mentally rehearsing motor movements stimulate the motor system in the brain and result in a positive effect on movement execution. To support patients in the early rehabilitation phase after a stroke, ANIMATE, a digital health intervention platform was developed. The platform guides the user through 6 activities of daily living by observing and imagining the corresponding movements. We conducted a scenario-based usability test with 9 PaS at a rehabilitation centre to identify existing usability issues. PaS found the app easy to use and they could interact with it without problems. Although they judged the app as useful, they stated to be not willing to use the app on a regular basis. Including features for customising ANIMATE regarding the individual rehabilitation goals and needs of PaS, as well as personalisation could help in increasing the motivation to use and the benefits of the platform.

Can a Chatbot Increase the Motivation to Provide Personal Health Information?

In healthcare settings, questionnaires are used to collect information from a patient. A standard method for this are paper-based questionnaires, but they are often complex to understand or long and frustrating to fill. To increase motivation, we developed a chatbot-based system Ana that asks questions that are normally asked using paper forms or in face-to-face encounters. Ana has been developed for the specific use case of collecting the music biography in the context of music therapy. In this paper, we compare user motivation, relevance of answers and time needed to answer the questions depending on the data entry method (i.e. app Ana versus paper-based questionnaire). A randomised trial was performed with 26 students of music therapy. The results show that the chatbot is more motivating and answers are given faster than on paper. No differences in answer relevance could be determined between the two means. We conclude that a chatbot could become an additional data entry method for collecting personal health information.

Self-Anamnesis with a Conversational User Interface: Concept and Usability Study.

OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the health care team. In this article, we introduce a concept for digital anamnesis collection and assess the applicability of a conversational user interface (CUI) for realizing a mobile self-anamnesis application. MATERIALS AND METHODS: We implemented our concept for self-anamnesis for the concrete field of music therapy. We collected requirements with respect to the application from music therapists and by reviewing the literature. A rule-based approach was chosen for realizing the anamnesis conversation between the system and the user. The Artificial Intelligence Markup Language was exploited for encapsulating the questions and responses of the system. For studying the quality of the system and analyzing performance, humanity, effect, and accessibility of the system, we performed a usability test with 22 persons. RESULTS: The current version of the self-anamnesis application is equipped with 63 questions on the music biography of a patient that are asked subsequently to the user by means of a chatbot conversation. The usability study showed that a CUI is a practical way for collecting anamnesis data. Users felt engaged of answering the questions and liked the human characteristics of the chatbot. They suggested to extend the conversation capabilities of the chatbot so that the system can react appropriately, in particular when the user is not feeling well. CONCLUSIONS: We could demonstrate the applicability of a CUI for collecting anamnesis data. In contrast to digital anamnesis questionnaires, the application of a CUI provides several benefits: the user can be encouraged to complete all queries and can ask clarifying questions in case something is unclear.

A Mobile System for Music Anamnesis and Receptive Music Therapy in the Personal Home.

Receptive music therapy is active hearing of music that is specifically selected to cause a certain effect on a person, such as pain reduction, mental opening, confrontation etc. This active, guided hearing could be helpful as a supporting ritual for patients at home and could extend traditional therapy. However, patients are often unable to select the music pieces that might be helpful for them in a current situation. We are suggesting a self-learning decision support system that allows a patient to answer questions on music anamnesis, is ready for inclusion into an electronic health record, and which enables a therapist to compile a therapeutic music program for the patient at home. Beyond this, the system also suggests appropriate music and duration of listening based on the patient's reported current mental state. In this paper, a concept for such a mobile system for receptive music therapy will be proposed.