Digital accessibility and IoT: Reach of Digital Technology to hearing-impaired elderly people
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE credits
Student thesis
Abstract [en]
With the emergence of the Internet of Things the technology has taken a step ahead in providing and creating devices that are supporting our everyday lives. Multiple devices and ecosystems such as Smart Home exist which are being implemented into many households. In this thesis the accessibility of such IoT based solutions is studied to find out how such devices can be used with the elderly people who are relying on hearing aids for hearing. To add on this, the literature is very limited within this field and is therefore relevant.
This thesis intends to gather information and requirements from chosen participants by conducting qualitative semi-structured interviews in phase one. Based on the requirements a solution or a prototype will be proposed to the participants. The prototype is evaluated by conducting quantitative surveys which is phase two of data collection. This data helps us to understand the relevance and value of the proposed solution. Moreover, regardless of the proposed solution's relevance to the participants, there is an important addition to the knowledge area by having a broader understanding of the challenges faced.
As a means to analyse the data, thematic analysis has been conducted to find common and uncommon themes between the participants. For phase two System Usability Scale is used to analyse the data. The findings are showing that a lot of similarities can be found between participants in the single cultural area and that requirements often vary. Nevertheless, the majority of the participants have spoken in favour of having a supplementary device that would complement the existing hearing aid.
Place, publisher, year, edition, pages
2023. , p. 68
Keywords [en]
Information Systems, IoT, Internet of Things, Hearing impaired elderly, Prototype Development, Hearing aid.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-118571OAI: oai:DiVA.org:lnu-118571DiVA, id: diva2:1729378
Subject / course
Informatics
Educational program
Master Programme in Information Systems, 120 credits
Supervisors
Examiners
2023-01-202023-01-202024-08-28Bibliographically approved