End-user development tools for the smart home: A systematic literature review

This paper presents a systematic literature review in the Internet of Things and Ambient Intelligence areas. The goal was to identify the best software tools that allow end users, namely people without competencies in computer programming, to manage and configure the behaviors of a smart home. The review selected 48 papers out of 1049 papers found through automatic and manual search. From these papers, 11 tools have been identified and analyzed by means of eight technical characteristics. Finally, among the eleven tools, six tools have been chosen for a qualitative comparison on the basis of seven design principles for smart home control proposed in a literature paper

Usability engineering practices in software development organizations: The Greek and the Italian case study

This paper reports the results of a study of software development organizations’ approach towards usability, conducted on software development organizations in Greece, extending a survey conducted in Southern Italy in 2011. The results show that the organization performing usability evaluation is nearly the same in both countries as well as the key advantages and the problems in performing usability evaluation emphasized by Italian and Greek respondents. A difference in the understanding of usability evaluation concept between the two studies emerged

Multimedia augmented reality game for learning math

The traditional method for learning the multiplication tables is a repetitive and boring task. Teachers try to find new methods to motivate children in this tedious duty, and one of the lines to consider is to integrate en- tertainment into educational processes. This work presents a new multimedia interaction approach in order to allow children to practice these math opera- tions and have fun. The learning process has been gamified by means of two mini-games designed for mobile platforms, based on meromictic or repetitive learning. The genre of these mini-games have been selected according to chil- dren preferences: one turn-based fighting and other throwing-objects game. A series of proposed multiplications have to be solved during the play to per- form the player actions. Moreover, in order to support learning engagement, both have been visualized through Augmented Reality, combining real and virtual reality. This paper discusses the good results of mixing entertainment with some learning tasks, due to the engagement of the children to the mobile based games. A pilot study has been performed in order to evaluate the learn- ing effectiveness and usability of the proposal. Results support that playing the video games makes this tedious multiplication practice more enjoyable and attractive for children so they improve their math skills

The Human-Centered Approach to Design and Evaluate Symbiotic AI Systems

Artificial Intelligence (AI) is spreading in many domains, revolutionizing the way individuals conceive their working and private life; it enhances many tasks by automating decision-making and augmenting human capabilities. It is necessary to design high-quality AI systems that focus on the users’ priorities and avoid potential unethical and unexpected behaviours. The widespread adoption of AI solutions faces challenges related to their transparency, since humans must be enabled to fully understand the outputs of such systems in order to make informed decisions. To address these concerns, a shift toward a human-centered approach is emerging when it comes to interact with AI systems. In this new scenario, Human-Computer Interaction (HCI) plays a pivotal role and contaminates AI to reach the human-AI symbiosis. Designers and developers should gravitate towards Symbiotic AI (SAI), which has the goal to support humans without replacing them and establish a symbiotic relationship with users, adapting to their cognitive models

A Human–AI interaction paradigm and its application to rhinocytology

This article explores Human-Centered Artificial Intelligence (HCAI) in medical cytology, with a focus on enhancing the interaction with AI. It presents a Human–AI interaction paradigm that emphasizes explainability and user control of AI systems. It is an iterative negotiation process based on three interaction strategies aimed to (i) elaborate the system outcomes through iterative steps (Iterative Exploration), (ii) explain the AI system’s behavior or decisions (Clarification), and (iii) allow non-expert users to trigger simple retraining of the AI model (Reconfiguration). This interaction paradigm is exploited in the redesign of an existing AI-based tool for microscopic analysis of the nasal mucosa. The resulting tool is tested with rhinocytologists. The article discusses the analysis of the results of the conducted evaluation and outlines lessons learned that are relevant for AI in medicine

Human Factors in Software Development Processes: Measuring System Quality

Software Engineering and Human-Computer Interaction look at the development process from different perspectives. They apparently use very different approaches, are inspired by different principles and address different needs. But, they definitively have the same goal: develop high quality software in the most effective way. The second edition of the workshop puts particular attention on efforts of the two communities in enhancing system quality. The research question discussed is: who, what, where, when, why, and how should we evaluate?

Exploring Archaeological Parks by Playing Games on Mobile Devices

Explore! is an m-learning system that combining e-learning and mobile computing allows middle school students to interact with learning materials in different ways while playing a game in an archaeological park. Design is based on user-centred and participatory approaches. The evaluation of Explore! through systematic field studies has shown that it is able to transform the visit to archaeological parks into a more complete and culturally rich experience. Thanks to the generality of the software infrastructure, games to be played in different parks can be easily created; to this aim, an Authoring Tool to be used by history experts and/or teachers has been developed

End-User Development for Artificial Intelligence: A Systematic Literature Review

In recent years, Artificial Intelligence has become more and more relevant in our society. Creating AI systems is almost always the prerogative of IT and AI experts. However, users may need to create intelligent solutions tailored to their specific needs. In this way, AI systems can be enhanced if new approaches are devised to allow non-technical users to be directly involved in the definition and personalization of AI technologies. End-User Development (EUD) can provide a solution to these problems, allowing people to create, customize, or adapt AI-based systems to their own needs. This paper presents a systematic literature review that aims to shed the light on the current landscape of EUD for AI systems, i.e., how users, even without skills in AI and/or programming, can customize the AI behavior to their needs. This study also discusses the current challenges of EUD for AI, the potential benefits, and the future implications of integrating EUD into the overall AI development process.Comment: This version did not undergo peer-review. A corrected version is published by Springer Nature in the Proceedings of 9th International Syposium on End-User Development (ISEUD 2023). DOI: https://doi.org/10.1007/978-3-031-34433-6_