Archive October 2015

IDC Seminar (20 Oct) – Towards Ad-hoc Collaboration Spaces with Cross-Device Interaction Techniques

Dr. Nicolai Marquardt, University College London

http://www.nicolaimarquardt.com/

Presentation slides

Nicolai MarquardtDespite the ongoing proliferation of devices and form-factors such as tablets and electronic whiteboards, technology often hinders (rather than helps) informal small-group interactions. Whereas natural human conversation is fluid and dynamic, discussions that rely on digital content—slides, documents, clippings—often remain hindered due to the awkwardness of manipulating, sharing, and displaying information on and across multiple devices. Addressing these shortcomings, in this talk I present our research towards fluid, ad-hoc, minimally disruptive techniques for co-located collaboration by leveraging the proxemics of people as well as the proxemics of devices. In particular, I will demonstrate a number of cross-device interaction techniques—situated within the research theme of proxemic interactions—that support nuanced gradations of sharing. I will also introduce different novel hybrid sensing approaches enabling these interaction techniques and discuss future research directions.

Bio:
Nicolai Marquardt is Lecturer in Physical Computing at University College London. At the UCL Interaction Centre he is working in the research areas of ubiquitous computing, physical user interfaces, proxemic interactions, and interactive surfaces. He is co-author of the books Proxemic Interactions: From Theory to Practice (Morgan & Claypool 2015) and Sketching User Experiences: The Workbook (Elsevier, Morgan Kaufmann 2012).

IDC seminar (13 Oct) – Two talks by Phong and Varshita

Talk 1: SensePath – Understanding the Sensemaking Process through Analytic Provenance

Presentation slides

Phong

Sensemaking is described as the process of comprehension, finding meaning and gaining insight from information, producing new knowledge and informing further action. Understanding the sensemaking process allows building effective visual analytics tools to make sense of large and complex datasets. Currently, it is often a manual and time-consuming undertaking to comprehend this: researchers collect observation data, transcribe screen capture videos and think-aloud recordings, identify recurring patterns, and eventually abstract the sensemaking process into a general model. In this talk, I will propose a general approach to facilitate such a qualitative analysis process, introduce a prototype, SensePath, to demonstrate the application of this approach with a focus on browser-based online sensemaking, and present our findings from a preliminary evaluation of the tool.

Bio

Phong Nguyen is currently doing his PhD in the Interaction Design Centre at Middlesex University. His research interests include visual analytics, information visualization, with a focus on understanding and supporting the sensemaking process using analytic provenance.

Talk 2: An Empirical study on Perception of Correlation using Scatter Plots

Presentation slides

varshitaScatter plots have been in use for over many centuries now but lacks the knowledge of metrics underlying their perception by humans. In this study we empirically assess user performance of estimating correlation in scatter plots for different factors and report whether there is a significant difference and/or relation in the subjective and objective correlation values in relation to different correlation indices, data distribution, symmetry of data enclosure, and number of data points used to plot it. The results suggest that error rates vary in relation to all these factors and condemn the existence of a single linear or non-linear regression pattern to which the human perception of statistical correlation would conform. Even for a set of consistent geometric enclosure such as ellipse itself, the error rate do not conform to a straight line,and thus the possibility of leveraging any perceptual models, such as Weber’s law, to evaluate correlation “accuracy” and “precision” is invalid. These finding are significant in that they are new and publishable and falsifies the conclusion of a recent journal paper where the authors might be misled by the accidental patterns resulting from insufficient sampling of a key experimental variable. Lastly, we also establish that as standalone quantities, both human perception as well as the statistical indicator of correlation are unreliable and need to be considered as a ‘married couple’ which complement each other.

Bio

 

Intern: Varshita Sher

varshitaVarshita is a recent graduate from University of Oxford where she was studying Master’s in Computer Science. She earned her undergraduate degree (Bachelors of Science (Honours)) in the same field from University of Delhi, India before moving to U.K. to pursue her masters. Her Master’s research combined psychology with Visual Analytics to question the stability of mathematical models (such as Weber’s law) that quantify human perception.

Her interests include focusing on pan-sector research areas to render visualizations that are more self-explanatory and efficient in context of Big Data along with paying close attention to the social, ethical and legal issues associated with it. She is currently collaborating with Middlesex University where she is serving as a Research Assistant on the project VALCRI (Visual Analytics for sense-making in Criminal Intelligence analysis), post which she will start working on the publication of her paper based on the Master’s thesis which earned her a distinction.