Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics

Ens, Barrett; Goodwin, Sarah; Prouzeau, Arnaud; Anderson, Fraser; Wang, Florence Y.; Gratzl, Samuel; Lucarelli, Zac; Moyle, Brendan; Smiley, Jim; Dwyer, Tim

doi:10.1109/tvcg.2020.3030334

Cited by 69 publications

(27 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, ImAxes [27] uses embodied interaction to assemble visualisations from the direct manipulation of 3D axes of data dimensions in 3D space. UpLift [46] uses tangibles on a touch table and the HoloLens to visualise and understand building energy on campuses. Wagner Filhio et al [48] also built an embodied 3D visualisation of a space-time cube which uses embodied interaction to rotate, scale and query the visualisation.…”

Section: State-of-the-art In Immersive Analyticsmentioning

confidence: 99%

“…Wagner Filhio et al [48] also built an embodied 3D visualisation of a space-time cube which uses embodied interaction to rotate, scale and query the visualisation. Controller-less techniques are also currently being investigated, 2) the Embodied Axes [24] controller for precise interaction with 3D visualisations in AR, (3) AR personal navigation of networks on wall-size displays [72], (4) the UpLift system [46] mixes AR, a touch table and tracked tangibles for building energy analytics (image ©IEEE), (5) the FIESTA system for collaborative immersive analytics in VR [79], (6) a study of small-multiples in VR [86], (7) the Tilt Map [143] system for 3D Choropleth maps visualisation (image ©IEEE), (8) a multi-scale navigation system for map navigation in AR [114], (9) bare hand interactions [115] to navigate AR maps, and (10) immersive unit visualisation [71].…”

Section: State-of-the-art In Immersive Analyticsmentioning

confidence: 99%

See 1 more Smart Citation

Grand Challenges in Immersive Analytics

Ens

Bach

Cordeil

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Self Cite

156

View full text Add to dashboard Cite

Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

show abstract

Section: State-of-the-art In Immersive Analyticsmentioning

confidence: 99%

Section: State-of-the-art In Immersive Analyticsmentioning

confidence: 99%

Grand Challenges in Immersive Analytics

Ens

Bach

Cordeil

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Self Cite

156

View full text Add to dashboard Cite

show abstract

“…For example, users may prioritize seeing their partner's hand gestures over hearing their voice, in poor network conditions. Recent studies have also looked at hybrid systems that combine tabletop interaction techniques familiar to users, with complex 3D visualizations that can be viewed above the tabletop using AR headsets [15,24]. While these systems are for co-located users, it would be interesting to see how many of our insights (related to remote AR interaction through virtual objects) apply to future work that explores these hybrid systems in a remote setting.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Network Outages on User Experience in Augmented Reality Based Remote Collaboration - An Empirical Study

Ahsen

Lim

Gardony

et al. 2021

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

Augmented Reality (AR) applications can enable geographically distant users to collaborate using shared video feeds or interactive 3D holograms, and may be particularly useful in the socially distant context of the Covid-19 pandemic. However, a good user experience is key for their success and could be negatively impacted by network impairments, which are an inevitable occurrence in today's best-effort Internet. In this paper, we present the findings of an empirical user study, aimed at understanding the effects of network outages, on user experience and behavior, in a collaborative AR task. We highlight how network outages affected users in different ways depending on their role in the collaborative task, and how giving users explicit information about poor network conditions helped them deal with some of these negative effects. Furthermore, we report the strategies that users themselves adopted, to deal with outages, such as batching instructions, or shifting to a different spatial referencing style when communicating with their partners. Lastly, based on our findings, we present some design implications for future remote-collaborative AR applications.CCS Concepts: • Human-centered computing → Empirical studies in collaborative and social computing; Mixed / augmented reality; • Networks → Network experimentation.

show abstract

“…Ens et al [5] have shown the potential for immersive analytics to support energy analysis at a campus scale. The ImAxes tool has been examined to understand the benefits of immersive visualisation, and embodied interaction in particular, to support analytics in The three types of geospatial data visualisation supported in our system.…”

Section: Imaxesmentioning

confidence: 99%

Towards Embodied Interaction for Geospatial Energy Sector Analytics in Immersive Environments

Cunningham

Hart

Engelke

et al. 2021

Proceedings of the Twelfth ACM International Conference on Future Energy Systems

View full text Add to dashboard Cite

Figure 1: We extend the immersive analytics tool ImAxes [3] to support geospatial visualisation, crucial to supporting analysis and forecasting in the energy sector. We support the standard visualisation elements and interactions from ImAxes (centre); introduce a geospatial map (left) that leverage the ImAxes interactions; and propose embodied operators (right) to support data transformations without leaving the immersive environment.

show abstract

Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics

Cited by 69 publications

References 57 publications

Grand Challenges in Immersive Analytics

Grand Challenges in Immersive Analytics

The Effects of Network Outages on User Experience in Augmented Reality Based Remote Collaboration - An Empirical Study

Towards Embodied Interaction for Geospatial Energy Sector Analytics in Immersive Environments

Contact Info

Product

Resources

About