All across the circle : using auto-ordering to improve object transfer between mobile devices

People frequently form small groups in many social and professional situations: from conference attendees meeting at a coffee break, to siblings gathering at a family barbecue. These ad-hoc gatherings typically form into predictable geometries based on circles or circular arcs (called F-Formations). Because our lives are increasingly stored and represented by data on handheld devices, the desire to be able to share digital objects while in these groupings has increased. Using the relative position in these groups to facilitate file sharing can enable intuitive techniques such as passing or flicking. However, there is no reliable, lightweight, ad-hoc technology for detecting and representing relative locations around a circle. In this paper, we present two systems that can auto-order locations about a circle based on sensors that are standard on commodity smartphones. We tested these systems using an object-passing task in a laboratory environment against unordered and proximity-based systems, and show that our techniques are faster, are more accurate, and are preferred by users.Postprin

Spatially-aware or spatially-agnostic? : Elicitation and Evaluation of User-Defined Cross-Device Interactions

Cross-device interaction between multiple mobile devices is a popular field of research in HCI. However, the appropriate design of this interaction is still an open question, with competing approaches such as spatially-aware vs. spatially-agnostic techniques. In this paper, we present the results of a two-phase user study that explores this design space: In phase 1, we elicited gestures for typical mobile cross-device tasks from 4 focus groups (N=17). The results show that 71% of the elicited gestures were spatially-aware and that participants strongly associated cross-device tasks with interacting and thinking in space. In phase 2, we implemented one spatially-agnostic and two spatially-aware techniques from phase 1 and compared them in a controlled experiment (N=12). The results indicate that spatially-aware techniques are preferred by users and can decrease mental demand, effort, and frustration, but only when they are designed with great care. We conclude with a summary of findings to inform the design of future cross-device interactions

A Study into the Effect of Mobile Device Configurations on Co-Located Collaboration using AR

The increasing availability of portable handheld mobile Augmented Reality technology is revolutionising the way digital information is embedded into the real world. As this data is embedded, it enables new forms of cross-device collaborative work. However, despite the widespread availability of handheld AR, little is known about the role that device configurations and size play on collaboration. This paper presents a study that examines how completing tasks using a simple mobile AR interface on different device sizes and configurations impacts key factors of collaboration such as collaboration strategy, behaviour, and efficacy. Our results show subtle differences between device size and configurations that have a direct influence on the way people approach tasks and interact with virtual models. We highlight key observations and strategies that people employ across different device sizes and configurations

Using Auto-Ordering to Improve Object Transfer between Mobile Devices

People frequently form small groups in many social and professional situations: from conference attendees meeting at a coffee break, to siblings gathering at a family barbecue. These ad-hoc gatherings typically form into predictable geometries based on circles or circular arcs (called F-Formations). Because our lives are increasingly stored and represented by data on handheld devices, the desire to be able to share digital objects while in these groupings has increased. Using the relative position in these groups to facilitate file sharing could facilitate intuitive interfaces such as passing or flicking. However, there is no reliable, lightweight, ad-hoc technology for detecting and representing relative locations around a circle. In this thesis, we present three systems that can auto-order locations about a circle based on sensors standard on commodity smartphones. We tested two of these systems using an object passing task in a laboratory environment against unordered and proximity-based systems, and show that our techniques are faster, more accurate, and preferred by users

Effects of Different Display Form Factors on InfoVis Applications: Exploring Selection Management and Brushing and Linking for Mobile Cross-Device Interaction

Diese Arbeit untersucht wie man mit mehreren, miteinander koordinierten Mobilgeräten Selektionen verwalten und Brushing und Linking unterstützen kann. Im Rahmen der Arbeit wird ein konzeptionelles Framework zur Selektionsverwaltung für mehrere Geräte angedacht und ein Konzept zur Selektionsverwaltung vorstellt, das Brushing und Linking für Mobilgeräte unterstützt. Des Weiteren werden Ziele für den Prototypen erörtert, die zur Umsetzung das Konzept beitragen. Mobile Geräte werden immer häufiger für Informationsvisualisierungen verwendet. Jedoch wurde bisher noch nicht untersucht, wie gängige Interaktionstechniken, wie Brushing und Linking, für diese Geräte anpassen werden müssen. Während des Brushings, werden zusätzlich Selektionen erstellt, für die es bislang keine Art der Verwaltung für Mobilgeräte gibt. In dieser Arbeit wird untersucht wie man Brushing und Linking mit mehreren Mobilgeräten unterstützen kann und Selektionen gleichzeitig verwalten kann.:1 Introduction 1.1 Contributions 1.2 Motivation and Background 1.3 Goals 1.4 Research Questions 1.5 Thesis Overview 2. Related Work 2.1 Mobile Devices for InfoVis and Their Screen Real Estate Issues 2.2 Interacting with CMVs 2.3 Brushing and Linking 2.4 Summary 3 Selection Management and Brushing and Linking for Mobile Cross- Device Interaction 3.1 The Selection Management Framework 3.2 Fundamental Information About VisTiles 3.3 Design Considerations 3.4 Creating Selections Within a Visualization 3.5 Interacting with Selections Within a Visualization 3.6 Managing Multiple Selections 3.7 Managing a Single Selection 3.8 Linking Selections to Other Devices 3.9 Incorporating Join Operations 3.10 Overview over Side-by-side Interactions 3.11 Summary: Reviewing the Selection Management Framework 4 Prototype 4.1 Technical Setup 4.2 Techniques 5 Conclusion and Discussion 5.1 Discussion 5.2 Future Work 5.3 ConclusionThis thesis examines how to manage selections and use brushing and linking with multiple coordinated mobile devices. We discuss thoughts for a conceptual framework for selection management in multi-device environments. We then present a concept for managing selections and supporting brushing and linking for co-located mobile devices. Finally, we are providing an overview of and the goals for our proof-of-concept prototype. More and more mobile devices are used for visualization. However, it is still an open question how to adjust common interaction techniques, such as brushing and linking, for mobile devices. Furthermore, it has not been addressed how to manage the selections that are created through brushing. We explore how brushing and linking can be used in a setting with multiple, co-located mobile devices and how to manage its selections.:1 Introduction 1.1 Contributions 1.2 Motivation and Background 1.3 Goals 1.4 Research Questions 1.5 Thesis Overview 2. Related Work 2.1 Mobile Devices for InfoVis and Their Screen Real Estate Issues 2.2 Interacting with CMVs 2.3 Brushing and Linking 2.4 Summary 3 Selection Management and Brushing and Linking for Mobile Cross- Device Interaction 3.1 The Selection Management Framework 3.2 Fundamental Information About VisTiles 3.3 Design Considerations 3.4 Creating Selections Within a Visualization 3.5 Interacting with Selections Within a Visualization 3.6 Managing Multiple Selections 3.7 Managing a Single Selection 3.8 Linking Selections to Other Devices 3.9 Incorporating Join Operations 3.10 Overview over Side-by-side Interactions 3.11 Summary: Reviewing the Selection Management Framework 4 Prototype 4.1 Technical Setup 4.2 Techniques 5 Conclusion and Discussion 5.1 Discussion 5.2 Future Work 5.3 Conclusio

Brave New GES World:A Systematic Literature Review of Gestures and Referents in Gesture Elicitation Studies

How to determine highly effective and intuitive gesture sets for interactive systems tailored to end users’ preferences? A substantial body of knowledge is available on this topic, among which gesture elicitation studies stand out distinctively. In these studies, end users are invited to propose gestures for specific referents, which are the functions to control for an interactive system. The vast majority of gesture elicitation studies conclude with a consensus gesture set identified following a process of consensus or agreement analysis. However, the information about specific gesture sets determined for specific applications is scattered across a wide landscape of disconnected scientific publications, which poses challenges to researchers and practitioners to effectively harness this body of knowledge. To address this challenge, we conducted a systematic literature review and examined a corpus of N=267 studies encompassing a total of 187, 265 gestures elicited from 6, 659 participants for 4, 106 referents. To understand similarities in users’ gesture preferences within this extensive dataset, we analyzed a sample of 2, 304 gestures extracted from the studies identified in our literature review. Our approach consisted of (i) identifying the context of use represented by end users, devices, platforms, and gesture sensing technology, (ii) categorizing the referents, (iii) classifying the gestures elicited for those referents, and (iv) cataloging the gestures based on their representation and implementation modalities. Drawing from the findings of this review, we propose guidelines for conducting future end-user gesture elicitation studies

Proceedings of Cross-Surface 2016: Workshop on Challenges and Opportunities for 'Bring-Your-Own-Device' (BYOD) in the Wild

In this workshop, we reviewed and discussed challenges and opportunities for Human-Computer Interaction in relation to cross-surface interaction in the wild based on the bring-your-own-device (BYOD) practice. We brought together researchers and practitioners working on technical infrastructures for cross-surface computing, studies of cross-surface computing in particular domains as well as interaction challenges for introducing cross-surface computing in the wild, all with a particular focus on BYOD. Examples of application domains are: cultural institutions, work places, public libraries, schools and education. Please find more details about the workshop, in the submitted proposal [1]. The workshop was held in conjunction with the 2016 ACM Conference on Human Factors in Computing Systems (CHI), that took place from May 7 to 12 in San Jose, USA. [1] Steven Houben, Nicolai Marquardt, Jo Vermeulen, Johannes Schöning, Clemens Klokmose, Harald Reiterer, Henrik Korsgaard, and Mario Schreiner. 2016. Cross-Surface: Challenges and Opportunities for 'bring your own device' in the wild