As online platforms have become increasingly important in the last decade, it also makes sense to conduct B2B (Business to Business) operations on online platforms. This paper deals with the aspects of trust and transparency in a B2B context, specifically in the development (and operation) of a platform where microelectronics manufacturers are connected with customers who want to produce a certain (part of a) product and find the best company to do so. The methods used were workshops with different stakeholder groups and expert reviews of the user interfaces of the platform under development. Our findings include that transparency and the power/freedom to do and undo actions within such a platform are essential for potential users as well as the care for their intellectual property. Additionally, we identified pitfalls in the current design which could reduce trust, e.g., as in our context, inconsistency regarding error messages.

This paper on industrial experience reports on two prominent public transport companies who decided to incorporate diversity more substantially into their corporate culture. To achieve the integration, an initiative was started and a project together with Fraunhofer Austria Research (Fraunhofer) and Technische Universität Wien (TU Wien) was launched. The project aims to support the companies in preparing their strategy for upcoming challenges such as the retirement of a large corpus of workers, recruiting new trainees, and finding new jobs for people within the company, whose working environment has changed drastically, e.g., due to the loss of bus or train driving licences because of health restrictions. The desired integration to strengthen diversity in their corporate culture started with shop inspections, expert interviews, diversity & future workshops, and a user study on a prototypical work system. The results were incorporated into diversity guidelines considering various drivers of change.

In the context of industrial settings, extensive research of in-situ projections has proven their benefits for task performance. However, to date, these projections have not explicitly addressed policies designed to mitigate the dangers and health risks that are just as important, if not more than task performance considerations in such settings. We developed in-situ projections for three different use cases: (1) assembly support at a workbench, (2) ergonomic lifting, (3) restricted areas, which we studied with 15 representative target users. We found the expected benefits of the task-supporting projection (use case 1), increasing task performance and causing minimal cognitive load. However, our data also suggest that the other projections (use case 2 and 3) did not improve policy compliance. Our findings indicate that in-situ projections are not the most suitable solution to nudge workers to policy compliance in an industrial assembly setting, as most participants ignored the policy after evaluating the dangers themselves. Furthermore, based on our limitations and findings, we reflect on how current study practices can be improved for ubiquitous systems, especially when aiding policy compliance.

This paper presents a reflection on a master class on “Responsible Design of AI” aimed at raising critical thinking among students about the pros and cons of AI technology in everyday life usage on the example of chatbots. In contrast to typical approaches teaching existing policies and design guidelines, we aimed to challenge students by setting up a project on the “most unethical chatbot imaginable”. Our teaching concept therefore builds on students’ self-identified issues and concerns and develops guidelines for ethical chatbot design according to students’ interpretations of the capabilities and potential applications of these technologies. In our teaching we particularly focused on supporting mutual learning between teachers, students, and experts as foundational aspects. We conclude with reflections from the students regarding how this teaching approach can contribute to establish a critical and reflective mindset for future HCI researchers and developers.