Digital identity ecosystems have evolved rapidly with the proliferation of digital services across public and private sectors. While digital identity wallets enable the use of digital credentials, prior work predominantly adopts a wallet-centric perspective, overlooking the broader User Experience (UX) emerging from interactions among multiple actors within identity ecosystems. This paper introduces a set of ten domain-specific UX heuristics for digital identity ecosystems. The proposed heuristics were initially evaluated through expert interviews to assess clarity and comprehensibility. After revision, they were applied to a prototype covering end-to-end interactions between digital identity wallets and counterpart systems. The resulting evaluation was then compared with findings based on Jakob Nielsen’s established usability heuristics. The results indicate a clear differentiation in performance: the proposed heuristics are more effective in identifying critical, high-severity UX issues specific to identity ecosystems, whereas Nielsen’s heuristics yield more precise and fine-grained findings. These findings highlight a trade-off between domain sensitivity and diagnostic specificity. Combining both heuristic sets is therefore argued to support a more comprehensive and robust evaluation of UX in digital identity ecosystems.
This study evaluated the usability of a multi-professional Therapy and Monitoring System (TMS) in three Austrian hospitals using quantitative and qualitative user feedback. The aim was to determine a standardized System Usability Scale (SUS) score, assess perceived usability of core functionalities, and examine user experiences across professional groups, including reported benefits and remaining challenges. A convergent mixed-methods design was used. Quantitative data were collected through an online questionnaire including the SUS and additional Likert-scale items assessing core functionalities. Qualitative data were gathered through open-ended questions and analyzed using reflexive thematic analysis. Findings were integrated at the interpretation stage to identify areas of convergence and divergence. A total of 61 survey responses were obtained from three Austrian hospitals across multiple professional groups. The mean SUS score was 68.53 (standard deviation 13.93), close to the benchmark of 68, with descriptive variation across professional groups. Features supporting multi-professional work, including annotations, team-meeting support, patient overview, and task tracking, were rated most positively. Reported benefits included improved multi-professional communication, enhanced patient overview, and better support for collaboration. Major challenges included double documentation, missing system integration, usability difficulties during initial use, and inconsistent implementation and training. The system supports multi-professional collaboration and provides a clear patient overview. Moderate usability ratings mainly reflected interoperability gaps and variable training rather than the system’s core design.
Robotic displays, which consist of flat-panel display(s) mounted on a wheeled robot, are increasingly being used in public spaces, but their effectiveness has not been thoroughly verified. This study examines the impact of robotic displays on passersby’s attraction and sustained viewing. Specifically, we observed their reactions to a robotic display’s unidirectional movement that accompanies passersby as they walk, and we compared these reactions with those to a large fixed screen with animated content. We conducted a one-day in-the-wild experiment where the display movement and animation were controlled using a Wizard-of-Oz protocol at a public exhibition event. An analysis of video-coded observations of over 400 passersby shows that the robotic display was noticed by 41.2
We propose a model for utilizing contextual life settings to create enhanced user experience (UX) for distance learners. Educational institutions provide distance learning possibilities for varying learner groups. Distance learners participate in learning activities via learning management systems from varying contexts. When designing learning experience, the surroundings, and learners’ resources, including technical systems, should be considered to assure efficient learning. The interaction between user actions, user interface and the physical context including digital equipment constitute the UX of the distance learning system. In this study we apply the qualitative survey method (N = 93) with contextual images (N = 54). The target group of the study is distance learners. The data is analyzed using iconographical analysis to reveal learners’ real-life situational context. The analysis revealed the ambivalent nature of life contexts for distance learning experience design covering physical, social, task and system aspects. Based on the analysis, we present the LIFEX model which informs practitioners on how learners’ life contexts integrate to learning systems.
The transition towards Industry 5.0 emphasises human-centricity, resilience, and sustainability in industrial workplaces. Despite well-meaning efforts, implementing the Industry 5.0 agenda has proven to be challenging. This paper describes the complexity of future industrial work environments and underlines important human-technology interaction issues to consider. Complexity may arise, for instance, from the division of tasks between humans and autonomous intelligent systems, as well as digital systems, within hybrid work environments. Usually, the human-centred design (HCD) approach is used to solve human-technology interaction design problems in workplaces as it encompasses themes related to safety, ergonomics, usability and user experience. However, these alone are no longer sufficient in today’s context; it is equally essential to consider the meaningfulness of work to ensure an adequate workforce for industrial work environments. Thus, this paper provides steps for enlarging HCD to encompass meaningfulness of work and addresses the challenges of implementing HCD practices in collaborative research projects, resulting in an HCD framework that emphasises human-centricity and collaborative knowledge-sharing actions. It aims to support the renewal of manufacturing in alignment with Industry 5.0 values and the creation of meaningful, enjoyable and productive hybrid industrial workplaces for the future.
