TandemTable

Contributors

Erik Paluka, Christopher Collins

Abstract

We present TandemTable, a multi-touch tabletop system designed to break down communication barriers between partners, with a special focus on supporting those who are learning languages. The design was guided by a grounding study of a real-world tandem language learning (TLL) environment and refined with an exploratory study of an early prototype. TandemTable facilitates and supports conversations by suggesting topics of discussion and presenting partners with a variety of conversation-focused collaborative activities, which consist of shared digital topical content that is dynamically downloaded from the web. Through a formal study comparing TandemTable to the baseline TLL condition of no support, our system was shown to increase communication between learning partners, reduce social discomfort, and was the preferred way of engaging in TLL.

Publications

  • E. Paluka and C. Collins, “TandemTable: Supporting Conversations and Language Learning Using a Multi-Touch Digital Table,” in Proceedings of the 2015 Graphics Interface Conference (GI ’15), 2015, pp. 139-146.
    [Bibtex] [PDF]
    @InProceedings{pal2015a,
      author = {Erik Paluka and Christopher Collins},
      title = {TandemTable: Supporting Conversations and Language Learning Using a Multi-Touch Digital Table},
      booktitle = {Proceedings of the 2015 Graphics Interface Conference (GI '15)},
      series = {GI '15},
      year = {2015},
      publisher = {ACM},
     pages = {139-146}
    }
  • E. Paluka and C. Collins, “Augmenting tandem language learning with the TandemTable,” in Proc. of ACM International Conference on Interactive Tabletops and Surfaces (Poster Session), 2013.
    [Bibtex] [PDF] [DOI]
    @poster{pal2013a,
      author =    {Erik Paluka and Christopher Collins},
      title =    {Augmenting tandem language learning with the TandemTable},
      booktitle = {Proceedings of the 2013 ACM International Conference on Interactive Tabletops and Surfaces (Poster Session)},
      series = {ITS '13},  
      year =   2013,
      isbn = {978-1-4503-2271-3},
      location = {St. Andrews, Scotland, United Kingdom},
      pages = {437 - 440},
      numpages = {4},
      doi = {10.1145/2512349.2514922},
      acmid = {2514922},
      publisher = {ACM},
      address = {New York, NY, USA},
      keywords = {collaboration, digital tabletop, education, interactive, multi-touch, tandem language learning},
      venue = {in Proc. of ACM International Conference on Interactive Tabletops and Surfaces (Poster Session)},
    }
  • E. Paluka, “Learning In Tandem: Augmenting Tandem Language Learning With Technology,” UOIT Student Research Showcase, 2012.
    [Bibtex] [PDF]
    @poster{pal2012b,
    author = {Erik Paluka},
    title = {Learning In Tandem: Augmenting Tandem Language Learning With Technology},
    venue = {UOIT Student Research Showcase},
    year = 2012
    }

Video

Acknowledgements

 

Research

Detecting Negative Emotion for Mixed Initiative Visual Analytics

EduApps – Supporting Non-Native English Speakers to Overcome Language Transfer Effects

Metatation: Annotation as Implicit Interaction to Bridge Close and Distant Reading

DataTours: A Data Narratives Framework

Perceptual Biases in Font Size as a Data Encoding

Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework

Abbreviating Text Labels on Demand

NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations

ConToVi: Multi-Party Conversation Exploration using Topic-Space Views

PhysioEx: Visual Analysis of Physiological Event Streams

Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics

Off-Screen Desktop

PivotSlice

Reading Comprehension on Mobile Devices

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

Optimizing Hierarchical Visualizations with the Minimum Description Length Principle

Lexichrome

SentimentState: Exploring Sentiment Analysis on Twitter

Facilitating Discourse Analysis with Interactive Visualization

DimpVis

Glidgets

TandemTable

Simple Multi-Touch Toolkit

Exploring Text Entities with Descriptive Non-photorealistic Rendering

Investigating the Semantic Patterns of Passwords

Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations

Parallel Tag Clouds to Explore Faceted Text Corpora

VisLink: Revealing Relationships Amongst Visualizations

DocuBurst: Visualizing Document Content using Language Structure

Tabletop Text Entry Techniques

Lattice Uncertainty Visualization: Understanding Machine Translation and Speech Recognition

WordNet Visualization

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