A major turning point in the way additional content is provided in exhibitions came with the enrichment of the exhibition experience with digital content. Interactive Museum Installations (IMI) were created, which now, 10 years later, need to rethink usability, technology and design. But what needs to be changed? How is the current presentation and communication of content perceived by visitors? With this case study of the IMI of the Türckische Cammer of the Staatliche Kunstsammlungen Dresden (Dresden State Art Collections, SKD), we present an approach that considers both the content and the visitor, incorporating characteristics that are taken into account when redesigning the IMI.

The translation of exhibitions into digital space has become increasingly important in recent years. Further intensified by the COVID pandemic, many museums are looking for alternative solutions to make museum visits possible. In this way, they can continue to fulfil their role as an institution for the communication and presentation of cultural heritage as well as the transfer of knowledge. In an exhibition, the focus is on the exhibit with its inherent knowledge. The curators of the Office for Academic Heritage, Scientific and Art Collections of the TU Dresden, are keen to present the exhibitions that have already been held and those that are planned in an expanded setting. A virtual counterpart to the real exhibition space is to be created, which can also be filled independently of current exhibitions. As part of a course at the Faculty of Computer Science at TU Dresden, a concept for a virtual reality web application with an explorative, immersive character was developed. With the concepts of white plane and aura, the students created an open museum space that focuses on the exhibits and the knowledge transfer.

Abstract One way to achieve an intuitive sound design are visual approaches for synthesis and sound collages. Therefore, during spectral synthesis and editing, the sound is designed in a visualization of the frequency domain. In order to create a coherent workflow between visuals and the resulting audio, the stimuli should be matched to each other. In this work, a qualitative user study is presented, which is supposed to show the intuitive understanding from the shape to the sound. The shape is hereby the spectral envelope. The general aim is to find out whether there is a connection between the visual shape and the subsequent auditory impression.

Currently, both understanding and developing interactive visual interfaces become ever more challenging, since different visual solutions exist that involve large interdisciplinary teams and deal with massive amounts of data, a wide range of interaction techniques, and domain-specific aspects. At the same time, traditional design methods become obsolete with more and more resources and knowledge that needs to be acquired. The proposed workshop provides a forum for discussing experimental and theoretical techniques, frameworks, and prototyping methods to design visual interfaces in different domains such as data visualization, tangible and embedded interaction, extended and mixed reality, multi-modal interfaces, and others.

Especially in the field of mechanical engineering, the market pressure for small and medium-sized enterprises increases because of faster developments and more complex designs. Nevertheless, standards and ergonomic safety regulations must be observed. In recent years, various applications were presented to help users understand and comply with inconvenient requirements. However, the time-consuming tools are primarily for ergonomics experts and often overwhelm engineers from small and medium-sized enterprises. We present an immersive concept that allows inexperienced users to quickly assess the ergonomic parameters of the visual field, represented by easy-to-understand visualizations. The solution is compared with standard market and scientific approaches.

An important goal of glyph based data visualization is to detect anomalies in data sets or to manage complex search tasks by guiding the users attention to regions of interest. Previous studies suggest that the user’s attention is tied to regions where different perspective projections meet. We describe a method for perspective distortion of glyphs within a virtual scene, while the rest of the scene is projected according to the common model of the computer graphics camera. The result is a multi-perspective image that directs the user’s attention. The perspective distortion is only applied if the user focuses on an irrelevant area of the data visualization. As soon as the gaze moves towards the relevant glyph, the perspective distortion is gradually removed. Therefore we evaluate eye tracking data in our prototypical implementation.

Rigorous data science is interdisciplinary at its core. In order to make sense of high-dimensional data, data scientists need to enter into a dialogue with domain experts. We present Glyphboard, a visualization tool that aims to support this dialogue. Glyphboard is a zoomable user interface that combines well-known methods such as dimensionality reduction and glyph-based visualizations in a novel, seamless, and integrated tool. While the dimensionality reduction affords a quick overview over the data, glyph-based visualizations are able to show the most relevant dimensions in the data set at one glance. We contribute an open-source prototype of Glyphboard, a general exchange format for high-dimensional data, and a case study with nine data scientists and domain experts from four exemplary domains in order to evaluate how the different visualization and interaction features of Glyphboard are used.

Mid-air interaction achieved through handtracking or controller in Virtual Reality (VR) is performed without an explicit spatial reference. One solution for creating such a reference is elastic feedback, which we realized via tension springs attached to a tracked VR-controller. Thereby, directional force is exerted and perceived by the user. A study was conducted to investigate the effects of elastic feedback on users in virtual travel tasks. Therefore, the elastic mode of the input device was compared to an isotonic mode, without any perceivable force. Also, two virtual travelling methods, a driving mode and a flight mode, were investigated in the study. The main goal of the study was to analyze, how elastic feedback influences user experience and presence perception. Statistical analysis with ANOVA of data from 24 subjects revealed significant main effects for the elastic mode on both, the User Experience Questionnaire (UEQ) and the Igroup Presence Questionnaire (IPQ). In addition, the subjects missed fewer target objects on average during the travel task. However, analysis of task completion times indicated no relevant differences. Although not all individual scales of UEQ and IPQ showed significant outcomes, the result indicates that immersive travel interfaces could benefit from the use of elastic feedback.

At exhibitions, visitors are usually in a completely unknown environment. Although visitors generally are informed about the topic before a visit, interests are still difficult to extract from the mass of exhibition stands and offers. In this paper we describe a concept using head-coupled AR together with recommender mechanisms for exhibitions. We present a conceptual development for a first prototype with focus on navigational aspects as well as explicit and implicit recommendations to generate input data for visually displayed recommendations.

Industrial applications can benefit considerably from the overwhelming amount of still growing resources such as websites, images, texts, and videos that the internet offers today. The resulting Big Data Problem does not only consist of handling this immense volume of data. Moreover, data needs to be processed, cleaned, and presented in a user-friendly, intuitive, and interactive way. This workshop addresses visualization and user interaction challenges posed by the four V's: Volume (huge data amounts in the range of tera and petabytes), Velocity (the speed in which data is created, processed, and analysed), Variety (the different heterogeneous data types, sources, and formats), and Veracity (authenticity and validity of data). Big Data driven interfaces combine suitable backend and frontend technologies as well as automatic and semi-automatic approaches in order to analyze data in various business contexts. An important aspect is human intervention in developing and training data-driven applications (human in the loop). Our focus is on Visual Big Data Interfaces in industrial contexts such as e-commerce, e-learning and business intelligence. We address interfaces for three important user groups: data scientists, data workers and end users.

With the internet, massively heterogeneous data sources need to be understood and classified to provide suitable services to users such as content observation, data exploration, e-commerce, or adaptive learning environments. The key to providing these services is applying machine learning (ML) in order to generate structures via clustering and classification. Due to the intricate processes involved in ML, visual tools are needed to support designing and evaluating the ML pipelines. In this contribution, we propose a comprehensive tool that facilitates the analysis and design of ML-based clustering algorithms using multiple visualization features such as semantic zoom, glyphs, and histograms.

In VISKOMMP (visual, collaborative, multi-meeting minutes system) we aim at supporting users during all stages of meeting-participation with focus on the preservation and accessibility of the produced information. For the efficient use of the knowledge generated during meetings, a comprehensive view of the aggregated data, independent of single events or documents, is necessary. An approach is presented which interlinks the heterogeneous information that is generated during meetings with the enterprise-knowledge. Created content and the established connections are further presented to the user in a comprehensible way. To this end, semantic technologies are utilized and an own ontology is designed, which covers the domains of project-management and meetings.

In recent years, many novel approaches have been propsed to exploring complex data sets. However, little guidance is available for designers to create similar solutions and to reuse established patterns. This paper is building upon our previous work that covers the development of a construction kit to support designers in creating new visual search interfaces. It provides a set of elements and patterns that can be easily combined with each other. In this paper, we present different application scenarios for using the construction kit within the design process.

Data Analysts have to deal with an ever-growing amount of data resources. One way to make sense of this data is to extract features and use clustering algorithms to group items according to a similarity measure. Algorithm developers are challenged when evaluating the performance of the algorithm since it is hard to identify features that influence the clustering. Moreover, many algorithms can be trained using a semi-supervised approach, where human users provide ground truth samples by manually grouping single items. Hence, visualization techniques are needed that help data analysts achieve their goal in evaluating Big data clustering algorithms. In this context, Multidimensional Scaling (MDS) has become a prominent visualization tool. In this paper, we propose a combination with glyphs that can provide a detailed view of specific features involved in MDS. In consequence, human users can understand, adjust, and ultimately improve clustering algorithms. We present a thorough glyph design, which is founded in a comprehensive survey of related work and report the results of a controlled experiments, where participants solved data analysis tasks with both glyphs and a traditional textual display of data values.

Business Intelligence applications often handle data sets that contain uncertain values. In this work we focus on product costing, which deals with the average costs of product components - that vary significantly based on many factors such as inflation, exchange rates, and commodity prices. After experts provide the uncertainty information for single items, decision makers need to quickly understand the cost uncertainties within the hierarchical data structure of the complete product.

Nowadays there is a wide variety of Virtual Reality (VR) applications for users of all age groups. An essential part of most VR systems is stereoscopy. From perceptual research, it is known that stereoscopic perception deteriorates with age [Garnham and Sloper 2006]. As indicator for stereoscopic perception, the authors of this and further studies used stereo acuity, i.e. the smallest disparity difference detected by the visual system. Norman et al. [2000] showed that the declined stereo acuity in older humans can cause these users to perceive less depth in random-dot stereograms. Since VR applications for rehabilitation are advancing, one can expect increasing numbers of elderly users. However, up to now it is unclear whether the age-specific changes in stereoscopic perception might impair the use of VR applications for older people. In our study, we presented stereoscopically rendered virtual objects. The primary aim of this study was to examine possible age differences in fusion range, relative and absolute distance perception, and visual fatigue. Here, we present results of the two tasks concerning distance perception.

The leading motive of the research demo is the utilization of the Augmented Virtuality technology and in particular the egocentric representation of real body parts in virtual and immersive environments. In this context, a prototypical application was developed, which superimposes the current view of the user's hands on the virtual scene in real-time. This is achieved in form of a captured video stream. Advantages compared to virtual avatars arise from the detailed and individual representation of the user's body and the saving of complex tracking hardware. Due to the integration of a toolbox, the visual appearance of the video overlay is highly customizable.

Summary Since multitouch interfaces are steadily moving out of the experimental niche, the demand for comprehensive programming support increases. Between the formation of de facto standards for multitouch gestures by the industry, and continued research and experimentation by developers or academia, the abstraction of gesture properties becomes essential. This paper contributes a revision of the Gesture Formalization for Multitouch (GeForMT) gesture description language. This language aims at a short and concise syntax, which is still able to capture the complexity of multitouch gestures. We report on a previously missing reference architecture and practical implementation. Based on a study comparing the revised GeForMT language with other formalization approaches for multitouch gestures, we introduce an editor for GeForMT.Copyright © 2013 John Wiley & Sons, Ltd.

In this paper, we investigate interaction of children with interactive tabletops in kindergarten environments. In our understanding, such environments feature a certain degree of supervision, group play, as well as sole activities. In contrast to the traditional desktop PC workplace, interactive tabletops encourage communication and social interaction between children. In order to observe interaction and collaboration, we developed a suite of playful applications called VisMo, which we tailored to the needs and expectations of the target group. Our observational study with twelve Kindergarten children highlights pedagogical and usability aspects. We observed motivation and collaboration of the children and used a formal notation to transcribe their performed multitouch gestures.

TagStar is designed to support users during the classification of data items based on a multidimensional classification scheme. We also intend to support experts when analyzing the database. Analytic features of the presented visual indexing system allow experts to discover insufficiently described resources with little effort. The resulting interface concept is based on star glyphs to visualize the multivariate data.

Interactive tabletops foster collaborative work by supporting face-to-face communication and by offering an interactive surface to continually visualize and integrate the current state of work. Through multi-touch technology, multiple fingers and even parts of the hand can be recognized. Hence, natural interaction with graphical objects can be enhanced. However, ergonomic constraints in shape, size and agility of the hand and fingers can reduce effective and efficient object manipulation. By virtually extending the representation of the fingers and the transformed objects themselves we seek to overcome these limitations. Common collaborative tasks on large touch surfaces are transformation and spatial grouping of graphical objects. Therefore, we present two novel interaction techniques: Scoop Net and Pinch Helper. Scoop Net is based on naive physics and allows users to select and move multiple objects in one seamless action. Pinch Helper supports the execution of a pinch gesture by transforming objects that are too small to be targeted by multiple fingers.

The usage of visual analytics during the analysis of business warehouse calculated key performance indicators is one emerging challenge in modern business applications. On the one hand, a complex network of key performance indicators has to be supervised. On the other hand, within this network only few key performance indicators change obviously within a short period of time. The sole mapping of the complexity of a network of key performance indicators to a graph-based visualization only covers static information and neglects temporal dependencies. We present a new visualization approach for the enrichment of graph-based visualizations of key performance indicator networks by introducing a multi-encoded visualization of additional functional, contextual and temporal information. The should help the user to understand relationships between KPIs and alert him if something is going wrong.

Interaction design for mobile applications is challenging due to the diversity of technologies and devices. In addition, the now ubiquitous multi-touch screens demand novel and engaging interface metaphors. In this paper, we report insights and three practical results from a workshop with undergraduate students. The aim was to experiment with new technologies by providing a set of creativity techniques for ideation. By tackling interaction design both for tablets and smartphones, flexible interface metaphors were developed.

Finding new and compelling approaches to interaction design for natural user interfaces, is challenging. The Natural Interface Exploration studio will offer participants the opportunity to explore interaction design for natural user interfaces based on physical substances that are used in everyday life. Studio organizers will present an overview of their methodology, providing examples of their experience [1, 2] and comparing it to other approaches. They will demonstrate how they analyze natural substances regarding the aspects of visualization and interaction and what kind of interfaces resulted [3, 4, 5] from these findings in initial workshops (see Figure 3 and 4).

Creative work -- especially in business -- is often connected to highly complex data. While current software tools support manifold areas in working with complex data, they are very limited to support creative work. Little research has been done on what kinds of representations are supporting the externalization of mental efforts while making sense of new information. It is especially very challenging to provide appropriate representations for abstract associations.

In this paper a new visual interface tool, enabling knowledge workers to use a highly flexible visual map to represent and refine their current understanding of a task, is proposed. For demonstration purposes, a web information gathering task is used, but the concept is not limited to web tasks only. For the proposed visualization a metaphor based on fluids, cell structure and soap bubbles is derived from experiments with natural physical substances. The resulting visual interface allows the user to pin down associations and to clarify anticipations of relations visually.

Interactive spaces are ubiquitous computing environments for computer-supported collaboration that exploit and enhance the existing cognitive, physical and social skills of users or groups of users. The workshop aims at documenting and advancing the current state-of-the-art of co-located collaboration in interactive spaces and identifying research challenges and formulating a research agenda by inviting high-quality position and research papers from HCI, Information Visualization, CSCW and CSCL.

In Enterprise Information Systems, users are facing complex user interfaces with a multitude of functionalities. These interfaces still rely on the WIMP-paradigm including forms, tables and dashboards, which are meant to be used with mouse and keyboard. This contribution argues that there is a gap between the increased process complexity and the traditional concepts in visualization and interaction. In this paper, an exemplary scenario addresses these challenges by exploiting tangible interaction on a tabletop system.

In this paper we describe DepthTouch, an installation which explores future interactive surfaces and features elastic feedback, allowing the user to go deeper than with regular multi-touch surfaces. DepthTouch's elastic display allows the user to create valleys and ascending slopes by depressing or grabbing its textile surface. We describe the experimental approach for eliciting appropriate interaction metaphors from interaction with real materials and the resulting digital prototype.

Accustomed to traditional user experiences with mouse and keyboard, designers are challenged to break free and find new and compelling approaches to interaction design for natural user interfaces. Tangible and embodied interaction works in parallel, is quick, and allows cooperative work. This exploration serves to inspire and provoke critical reflection on interaction design for natural user interfaces based on physical substances that are used in everyday life -- like eggs, soap bubbles, and magnets.

The established method of representing three-dimensional space on a two-dimensional surface involves camera based, point of regard systems, comparable in design to the early “camera obscura”. However, geometrical limitations of such models lead to distortions of perspective when projected. This research investigated the influence of single- versus multi-perspectives on aesthetic choices within one image. A clear perceptual bias towards multi-perspective images was found, additionally supported by an eye tracking study. We propose that human users are more attracted by multi-perspective images, which emphasise the “semantic foci” of the scene, than by those being synthesized statically with only one geometrical prospect.