To enable effective communication between users and autonomous robots, it is crucial to have a shared understanding of goals and actions. This is made possible through an intelligible interface that communicates relevant information. This intelligibility enhances user comprehension, enabling them to anticipate the robot's actions and respond appropriately. However, because robots can perform a wide variety of actions and communication resources are limited, such as the number of available "pixels", visualizations must be carefully designed. To tackle this challenge, we have developed a visual design framework. Leveraging Unity, we developed a Virtual Reality implementation to prototype and evaluate our framework. Within this framework, we introduce two visualization techniques for visualizing the movement of a robotic arm, laying a foundation for subsequent development and user testing.

To enable effective communication between users and autonomous robots, it is crucial to have a shared understanding of goals and actions. This is made possible through an intelligible interface that communicates relevant information. This intelligibility enhances user comprehension, enabling them to anticipate the robot's actions and respond appropriately. However, because robots can perform a wide variety of actions and communication resources are limited, such as the number of available "pixels", visualizations must be carefully designed. To tackle this challenge, we have developed a visual design framework and design space that can be used to create intelligible visualizations for human-robot interaction. Our framework focuses on three key components: information type, pixel layout, and robot type. We demonstrate how intelligibility can be integrated into interactions through prototype visualizations featuring a one-dimensional pixel layout, laying the groundwork for developing more detailed and understandable visualizations.

In many jobs, workers execute precise line tracing tasks; welding, spray painting, or chiseling, for example. Training and support for such tasks can be done using VR and AR. However, to enable workers to achieve the required precision in movement and timing, the effect of visual guidance on continuous movement needs to be explored. In VR environments, we want to ensure people are trained so that the obtained skill is transferable to a real-world context, whereas, in AR, we want to ensure an ongoing task can be completed successfully when adding visual guidance. To simulate these various contexts, we employ a VR environment to investigate the effectiveness of different visualizations for motion-based guidance in a line tracing task. We tested five different visualizations, including faster and slower arrows on the pen, the same arrows on the line, a dynamic graph on the pen or line, and a ghost object to follow. Each visualization was tested with the same set of five lines of different target speeds (2cm/s to 10 cm/s in steps of 2 cm/s) with a training line of 5 cm/s. Our results show that the example ghost on the line turns out to be the most efficient visualization for allowing users to achieve a specific speed. Users also perceived this visualization as the most engaging and easy to use. These findings have significant implications for the development of AR-based guidance systems, specifically in the realm of speed control, across diverse domains such as industrial applications, training, and entertainment.

Welcome to this issue of the Proceedings of the ACM on Human-Computer Interaction, bringing together contributions from the community on Engineering Interactive Computing Systems (EICS). The EICS track of the PACM-HCI is the primary venue for research contributions at the intersection of Human-Computer Interaction (HCI) and Software Engineering. This year, over the three rounds of submissions, for the issue of PACM-HCI we received 68 valid submissions (out of 90 submissions in total), of which we carefully selected 19 papers, bringing our acceptance rate to 27.9%. The result of this selection process is presented in this issue of the Proceedings of the ACM.

The majority of errors in making processes can be tracked back to errors in dimensional specifications. While technical aspects of measurement, such as precision and speed have been extensively studied in metrology, the user aspects of measurement received significantly less attention. While little research exists that specifically addresses the user aspects of handling dimensions, various systems have been built that embed new interactive modalities, processes, and techniques which significantly impact how users deal with dimensions or conduct measurements. However, these features are mostly hidden in larger system contributions. To uncover and articulate these techniques, we conducted a holistic literature survey on measurement practices in crafting techniques and systems for rapid prototyping. Based on this survey, we contribute 10 measurement patterns, which describe reusable elements and solutions for common difficulties when dealing with dimensions throughout workflows for making physical artifacts.

We present History in Motion (HiM), an interactive visualization tool that enables CAD designers to interactively explore the design history of 3D CAD models. In contrast to manually exploring the modeling history of a CAD project, HiM finds relevant modeling features for geometry elements selected by the designer. We contribute a novel 3D interactive animation that visualizes how the modeling features interact, and are used on top of the CAD model, to realize the geometry. A control panel allows for a deeper exploration of the modeling features, with shortcuts for making modifications.

Non-ergonomic postures and the resulting musculoskeletal disorders are key factors in worker disability and well-being. This underlines the importance of designing ergonomic work environments and educating workers in performing tasks ergonomically. We present Work-a-Pose to increase awareness of non-ergonomic postures and promote long-term sustainable work postures. To this end, we combine camera-based posture tracking with the automatic application of ergonomic guidelines. Glanceable visualizations highlight the worker's posture and potential ergonomic risks. A complementary, personal tool provides a more detailed overview of the worker's ergonomic score and motivates the worker to strive for a healthy work posture through simple gamification techniques.

Laser cutters take vector data for the shapes they cut or engrave as input, however, re-using a given design with different material or on a different machine requires adaptation of the template. Unfortunately, vector drawings lack the semantic information required for an automated adjustment to new parameters, making the manual adjustment a tedious and error-prone process for end-users. We present LaserSVG, a standard-compliant vector-based file format, software library, and authoring tool to specify, generate, exchange and re-use responsive laser-cutting templates. With LaserSVG, designers can easily turn their vector-drawings into parametric templates that end-users can easily adjust to new materials or production parameters. Our tools provide various functions for parametric design that allows end-users and designers to adapt objects while ensuring overall consistency of the results.

Operators' well-being is a key factor for the success of industrial production processes. Even though research has studied the well-being aspects of the industry, such as support and improvement of ergonomics, there is still a long way to go to achieve a sustainable and healthy work context for manufacturing industry. We believe the Human-Computer Interaction community can contribute by developing research on worker well-being in real-life settings. This workshop intends to offer a venue for HCI researchers that focus on worker well-being for the manufacturing industry and other industry domains.