Short‐Contact Touch‐Manipulation of Scatterplot Matrices on Wall Displays

Riehmann, Patrick; León, Gabriela Molina; Reibert, Joshua; Echtler, Florian; Froehlich, Bernd

doi:10.1111/cgf.13979

Cited by 5 publications

(4 citation statements)

References 39 publications

(49 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They conclude that performance only benefits from locomotion when all information can be displayed at once. Riehmann et al combined both virtual and physical navigation for scatterplot matrices on LHRDs which allows users to choose the method that suits their individual interaction style best [36]. We similarly provide a virtual navigation technique that complements but does not replace physical navigation to support both.…”

Section: Related Workmentioning

confidence: 99%

“…Lischke et al proposed a technique called Windows Spinning that allows users to move the whole screen from left to right with mouse and keyboard [25] which was inspired by the Tablecloth of Robertson et al [40]. Riehmann et al proposed the paternoster technique for a scatterplot matrix that additionally allows to move the screen vertically to bring the upper and lower areas into reach [36]. We offer a similar scrolling technique in the horizontal direction but our gesture set also allows dragging of axes in vertical direction as well as extending the vertical reach during interaction on an axis.…”

Section: Related Workmentioning

confidence: 99%

“…Dragging over large distances was observed to be error-prone and uncomfortable. The fling gesture is a short-range alternative to directed long-range gestures when exact precision is not required and was already applied for navigating a scatterplot matrix on an LHRD [36]. Non-linear mappings allow continous shortrange gestures to have precise control at first but trade precision for a larger effect as the distance increases.…”

Section: Design Goalsmentioning

confidence: 99%

See 2 more Smart Citations

Multitouch Interaction with Parallel Coordinates on Large Vertical Displays

Reibert

Riehmann

Froehlich

2020

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

This paper presents a multitouch vocabulary for interacting with parallel coordinates plots on wall-sized displays. The gesture set relies on principles such as two-finger range definition, a functional distinction of background and foreground for applying the Hold-and-Move concept to wall-sized displays as well as fling-based interaction for triggering and controlling long-range movements. Our implementation demonstrates that out-of-reach problems and limitations regarding multitouch technology and display size can be tackled by the coherent integration of our multitouch gestures. Expert reviews indicate that our gesture vocabulary helps to solve typical analysis tasks that require interaction beyond arms' reach, and it also shows how often certain gestures were used.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Design Goalsmentioning

confidence: 99%

See 1 more Smart Citation

Multitouch Interaction with Parallel Coordinates on Large Vertical Displays

Reibert

Riehmann

Froehlich

2020

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

show abstract

“…Riehmann et al [251] produce a set of interactions for working with scatterplot matrices on wall-sized displays. To address the challenges of long swipes on blunt surfaces and uncomfortable postures to reach far regions of the screen, they use fling-based gestures to centralise the user interaction.…”

Section: Interaction Techniques For Large High-resolution Displaysmentioning

confidence: 99%

Visualisation of Long in Time Dynamic Networks on Large Touch Displays

Lee¹

View full text Add to dashboard Cite

Any dataset containing information about relationships between entities can be modelled as a network. This network can be static, where the entities/relationships do not change over time, or dynamic, where the entities/relationships change over time. Network data that changes over time, dynamic network data, is a powerful resource when studying many important phenomena, across wide-ranging ﬁelds from travel networks to epidemiology.However, it is very difﬁcult to analyse this data, especially if it covers a long period of time (e.g, one month) with respect to its temporal resolution (e.g. seconds). In this thesis, we address the problem of visualising long in time dynamic networks: networks that may not be particularly large in terms of the number of entities or relationships, but are long in terms of the length of time they cover when compared to their temporal resolution.We ﬁrst introduce Dynamic Network Plaid, a system for the visualisation and analysis of long in time dynamic networks. We design and build for an 84" touch-screen vertically-mounted display as existing work reports positive results for the use of these in a visualisation context, and that they are useful for collaboration. The Plaid integrates multiple views and we prioritise the visualisation of interaction provenance. In this system we also introduce a novel method of time exploration called ‘interactive timeslicing’. This allows the selection and comparison of points that are far apart in time, a feature not offered by existing visualisation systems. The Plaid is validated through an expert user evaluation with three public health researchers.To conﬁrm observations of the expert user evaluation, we then carry out a formal laboratory study with a large touch-screen display to verify our novel method of time navigation against existing animation and small multiples approaches. From this study, we ﬁnd that interactive timeslicing outperforms animation and small multiples for complex tasks requiring a compari-son between multiple points that are far apart in time. We also ﬁnd that small multiples is best suited to comparisons of multiple sequential points in time across a time interval.To generalise the results of this experiment, we later run a second formal laboratory study in the same format as the ﬁrst, but this time using standard-sized displays with indirect mouse input. The second study reafﬁrms the results of the ﬁrst, showing that our novel method of time navigation can facilitate the visual comparison of points that are distant in time in a way that existing approaches, small multiples and animation, cannot. The study demonstrates that our previous results generalise across display size and interaction type (touch vs mouse).In this thesis we introduce novel representations and time interaction techniques to improve the visualisation of long in time dynamic networks, and experimentally show that our novel method of time interaction outperforms other popular methods for some task types.

show abstract

Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical Displays

León,

Isenberg,

Breiter

2024

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

We examined user preferences to combine multiple interaction modalities for collaborative interaction with data shown on large vertical displays. Large vertical displays facilitate visual data exploration and allow the use of diverse interaction modalities by multiple users at different distances from the screen. Yet, how to offer multiple interaction modalities is a non-trivial problem. We conducted an elicitation study with 20 participants that generated 1015 interaction proposals combining touch, speech, pen, and mid-air gestures. Given the opportunity to interact using these four modalities, participants preferred speech interaction in 10 of 15 low-level tasks and direct manipulation for straightforward tasks such as showing a tooltip or selecting. In contrast to previous work, participants most favored unimodal and personal interactions. We identified what we call collaborative synonyms among their interaction proposals and found that pairs of users collaborated either unimodally and simultaneously or multimodally and sequentially. We provide insights into how end-users associate visual exploration tasks with certain modalities and how they collaborate at different interaction distances using specific interaction modalities. The supplemental material is available at https://osf.io/m8zuh/?view only=34bfd907d2ed43bbbe37027fdf46a3fa.

show abstract

Short‐Contact Touch‐Manipulation of Scatterplot Matrices on Wall Displays

Cited by 5 publications

References 39 publications

Multitouch Interaction with Parallel Coordinates on Large Vertical Displays

Multitouch Interaction with Parallel Coordinates on Large Vertical Displays

Visualisation of Long in Time Dynamic Networks on Large Touch Displays

Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical Displays

Contact Info

Product

Resources

About