Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors

• URL: http://arxiv.org/abs/2508.02968v1
• Date: Tue, 05 Aug 2025 00:14:52 GMT
• Title: Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors
• Authors: Shavindra Wickramathilaka, John Grundy, Kashumi Madampe, Omar Haggag,
• Abstract summary: AdaptForge is a low-code model-driven engineering tool that enables the efficient creation of accessible and adaptive applications for senior users.<n>This paper presents an interview-based empirical study with 18 software practitioners, evaluating AdaptForge.<n>We identify developer expectations for adopting such tools and provide empirically grounded recommendations for designing low-code tools that support accessible and adaptive software development.
• Score: 4.220379425971002
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The global ageing population presents a growing societal challenge, creating an urgent need for inclusive technologies that promote autonomy among older adults. Software practitioners can address this by delivering digital services that enhance seniors' independence and reduce reliance on routine support from family members and healthcare infrastructure. However, traditional development practices, constrained by time and resources, often result in applications with major accessibility and personalisation barriers. Increasing pressure from regulatory requirements, such as the European Accessibility Act (EAA), and the personal empathy many developers feel toward supporting their older loved ones and their own future selves have created a demand for tools that support the development of accessible and adaptive software. To address this demand, this paper presents an interview-based empirical study with 18 software practitioners, evaluating AdaptForge: a low-code model-driven engineering (MDE) tool that enables the efficient creation of accessible and adaptive applications for senior users by mitigating development constraints through automated code generation. Based on these insights, we identify developer expectations for adopting such tools as industry-standard solutions and provide empirically grounded recommendations for designing low-code tools that support accessible and adaptive software development.

Related papers

• Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey [59.52058740470727]
  Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications.<n>Recent advancements in AI, particularly deep learning and large language models (LLMs), have dramatically enhanced the capabilities of these distributed systems.<n>This survey provides a structured tutorial on fundamental architectures, enabling technologies, and emerging applications.
  arXiv  Detail & Related papers  (2025-05-03T13:55:38Z)
• Accessibility Recommendations for Designing Better Mobile Application User Interfaces for Seniors [4.220379425971002]
  Senior users represent a growing user base for mobile applications.<n>Many apps fail to adequately address their accessibility challenges and usability preferences.<n>We developed a model-driven engineering toolset to generate adaptive mobile app prototypes tailored to seniors' needs.
  arXiv  Detail & Related papers  (2025-04-17T06:32:05Z)
• An Online Integrated Development Environment for Automated Programming Assessment Systems [4.618037115403291]
  This research contributes to the field of programming education by extracting and defining requirements for an online IDE.<n>The usability of the new online IDE was assessed using the Technology Acceptance Model (TAM), gathering feedback from 27 first-year students.
  arXiv  Detail & Related papers  (2025-03-17T12:50:51Z)
• Adaptive and Accessible User Interfaces for Seniors Through Model-Driven Engineering [4.220379425971002]
  We present AdaptForge, a novel model-driven engineering (MDE) approach that enables advanced design-time adaptations of mobile application interfaces.<n>The first model defines users' context-of-use parameters, while the second defines conditional accessibility scenarios and corresponding UI adaptation rules.<n>These rules are interpreted by an MDE workflow to transform an app's original source code into personalised instances.
  arXiv  Detail & Related papers  (2025-02-26T05:03:22Z)
• Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning [55.641299901038316]
  AI-generated content can organize collaborative Mobile AIGC Service Providers (MASPs) at network edges to provide ubiquitous and customized content for resource-constrained users.<n>Such a paradigm faces two significant challenges: 1) raw prompts often lead to poor generation quality due to users' lack of experience with specific AIGC models, and 2) static service provisioning fails to efficiently utilize computational and communication resources.<n>We develop an interactive prompt engineering mechanism that leverages a Large Language Model (LLM) to generate customized prompt corpora and employs Inverse Reinforcement Learning (IRL) for policy imitation.
  arXiv  Detail & Related papers  (2025-02-17T03:05:20Z)
• Dear Diary: A randomized controlled trial of Generative AI coding tools in the workplace [2.5280615594444567]
  Generative AI coding tools are relatively new, and their impact on developers extends beyond traditional coding metrics. This study aims to illuminate developers' preexisting beliefs about generative AI tools, their self perceptions, and how regular use of these tools may alter these beliefs. Our findings reveal that the introduction and sustained use of generative AI coding tools significantly increases developers' perceptions of these tools as both useful and enjoyable.
  arXiv  Detail & Related papers  (2024-10-24T00:07:27Z)
• Agent-Driven Automatic Software Improvement [55.2480439325792]
  This research proposal aims to explore innovative solutions by focusing on the deployment of agents powered by Large Language Models (LLMs) The iterative nature of agents, which allows for continuous learning and adaptation, can help surpass common challenges in code generation. We aim to use the iterative feedback in these systems to further fine-tune the LLMs underlying the agents, becoming better aligned to the task of automated software improvement.
  arXiv  Detail & Related papers  (2024-06-24T15:45:22Z)
• Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach [55.5769013369398]
  This research pioneers user-centric, privacy-aware technologies such as Federated Learning (FL) FL enables collaborative learning without sharing sensitive data, addressing privacy and scalability issues. This work includes developing solutions for smart wheelchair assistance, enhancing user independence and well-being.
  arXiv  Detail & Related papers  (2024-05-23T13:14:08Z)
• Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions [50.545824691484796]
  We identify six themes around the theme challenges and opportunities to improve Software Developer Diversity and Inclusion (SDDI)<n>We identify benefits, harms, and future research directions for the four main themes.<n>We discuss the remaining two themes, Artificial Intelligence & SDDI and AI & Computer Science education, which have a cross-cutting effect on the other themes.
  arXiv  Detail & Related papers  (2024-04-10T16:18:11Z)
• Embedded Software Development with Digital Twins: Specific Requirements for Small and Medium-Sized Enterprises [55.57032418885258]
  Digital twins have the potential for cost-effective software development and maintenance strategies. We interviewed SMEs about their current development processes. First results show that real-time requirements prevent, to date, a Software-in-the-Loop development approach.
  arXiv  Detail & Related papers  (2023-09-17T08:56:36Z)
• Empowered and Embedded: Ethics and Agile Processes [60.63670249088117]
  We argue that ethical considerations need to be embedded into the (agile) software development process. We put emphasis on the possibility to implement ethical deliberations in already existing and well established agile software development processes.
  arXiv  Detail & Related papers  (2021-07-15T11:14:03Z)
• Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living [0.0]
  This work proposes a framework for development of a Personalized Intelligent Assistant to help elderly people perform Activities of Daily Living. This framework can analyze different tasks performed by the user and recommend activities by considering their daily routine, current affective state and the underlining user experience. The results presented show that the model achieves a performance accuracy of 73.12% when modelling a specific user.
  arXiv  Detail & Related papers  (2021-06-29T17:36:07Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.