A Human-centric AI-driven Framework for Exploring Large and Complex Datasets

Human-Centered Artificial Intelligence (HCAI) is a new frontier of research at the intersection between HCI and AI. It fosters an innovative vision of human-centred intelligent systems, which are systems that take advantage of computer features, such as powerful algorithms, big data management, advanced sensors and that are useful and usable for people, providing high levels of automation and enabling high levels of human control. This position paper presents our ongoing research aiming to extend the HCAI framework for better supporting designers in creating AI-based systems

Exploring the Role of End Users in Performing EUD with Large Language Models

Large Language Models (LLMs) are being used to expand the concept of End-User Development (EUD), allowing end users to describe their needs related to the creation, modification, extension or testing of digital artifacts in natural language. This paper presents a survey on recent papers that explore the integration of EUD with LLMs. The final aim is to reflect on the opportunities offered by LLMs to EUD and on the challenges to address, to understand how to empower end users rather than diminish their role in tailoring systems

Making Usable Generic Software. A Matter of Global or Local Design?

Usability is widely acknowledged as a desirable trait of software, referring to how usable it is to a specific set of users. However, when software is developed as generic packages, aimed at supporting variety, designing user interfaces with sufficient sensitivity to use-contexts is a challenge. Extant literature has documented this challenge and established that solving usability-related problems are difficult, both during software development and implementation. Adding to this discussion, this paper contributes by developing a framework to analyze what characterizes usability-related design of generic software. This includes two levels of design; generic-level and implementation-level, and two types of design; design for use and design for design. We apply this conceptual framework on an empirical case based on an ongoing action research project where a global generic health software is implemented in a large state in India. From the analysis we argue that attempts to strengthen usability of generic software require a holistic intervention, considering design on both ‘global’ and ‘local’ level. Of particular importance is how usable the generic software and other design-resources are when implementers are customizing the software. We coin this aspect of design as meta-usability, which represent what we see as an avenue for further research

Expert Elicitation for Reliable System Design

This paper reviews the role of expert judgement to support reliability assessments within the systems engineering design process. Generic design processes are described to give the context and a discussion is given about the nature of the reliability assessments required in the different systems engineering phases. It is argued that, as far as meeting reliability requirements is concerned, the whole design process is more akin to a statistical control process than to a straightforward statistical problem of assessing an unknown distribution. This leads to features of the expert judgement problem in the design context which are substantially different from those seen, for example, in risk assessment. In particular, the role of experts in problem structuring and in developing failure mitigation options is much more prominent, and there is a need to take into account the reliability potential for future mitigation measures downstream in the system life cycle. An overview is given of the stakeholders typically involved in large scale systems engineering design projects, and this is used to argue the need for methods that expose potential judgemental biases in order to generate analyses that can be said to provide rational consensus about uncertainties. Finally, a number of key points are developed with the aim of moving toward a framework that provides a holistic method for tracking reliability assessment through the design process.Comment: This paper commented in: [arXiv:0708.0285], [arXiv:0708.0287], [arXiv:0708.0288]. Rejoinder in [arXiv:0708.0293]. Published at http://dx.doi.org/10.1214/088342306000000510 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Guidelines For Pursuing and Revealing Data Abstractions

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about how people describe their data, either directly or indirectly. We refer to the latter as latent data abstractions. We conduct a Grounded Theory analysis that (1) interprets the extent to which latent data abstractions exist, (2) reveals the far-reaching effects that the interventionist pursuit of such abstractions can have on data workers, (3) describes why and when data workers may resist such explorations, and (4) suggests how to take advantage of opportunities and mitigate risks through transparency about visualization research perspectives and agendas. We then use the themes and codes discovered in the Grounded Theory analysis to develop guidelines for data abstraction in visualization projects. To continue the discussion, we make our dataset open along with a visual interface for further exploration