Speaker: Aaron Quigley, SACHI University of St Andrews

Abstract:

Our bodies shape our experience of the world, and our bodies influence what we design. How important are the physical differences between people? Can we model the physiological differences and use the models to adapt and personalize designs, user interfaces and artifacts? Within many disciplines Digital Human Models and Standard Observer Models are widely used and have proven to be very useful for modeling users and simulating humans. In this paper, we create personalized digital human models of perception (Individual Observer Models), particularly focused on how humans see. Individual Observer Models capture how our bodies shape our perceptions. Individual Observer Models are useful for adapting and personalizing user interfaces and artifacts to suit individual users’ bodies and perceptions. We introduce and demonstrate an Individual Observer Model of human eyesight, which we use to simulate 3600 biologically valid human eyes. An evaluation of the simulated eyes finds that they see eye charts the same as humans. Also demonstrated is the Individual Observer Model successfully making predictions about how easy or hard it is to see visual information and visual designs. The ability to predict and adapt visual information to maximize how effective it is is an important problem in visual design and analytics.

About Aaron:

In this talk Professor Aaron Quigley will present a talk for a paper he is presenting at the User Modeling, Adaptation and Personalization (UMAP) conference 2011 on July 12th in Barcelona Spain. This work on Creating Personalized Digital Human Models of Perception for Visual Analytics is the work with and of his former PhD student Dr. Mike Bennett and now postdoctoral fellow in the Department of Psychology in Stanford University.

Professor Aaron Quigley is the Chair of Human Computer Interaction in the School of Computer Science at the University of St Andrews. He is the director of SACHI and his appointment is part of SICSA, the Scottish Informatics and Computer Science Alliance. Aaron’s research interests include surface and multi-display computing, human computer interaction, pervasive and ubiquitous computing and information visualisation.

Speaker: Sean Lynch, Innovis group/Interactions lab, University of Calgary, Canada

Abstract:

Information visualization and new paradigms of interaction are generally applied to productive processes (i.e., at work) or for personal and entertainment purposes. In my work, I have looked instead at how to apply new technologies and visualization techniques to art. I will present mainly two projects that focus on multi-touch music composition and performance, and the visual analysis of the history and visual features of fine paintings.

About Sean:

Sean Lynch is a Master’s Student in Computer Science at the Interactions Lab at the University of Calgary. Sean’s research interests span interactive technologies (e.g., multi-touch), interactive art, and information visualization.

Speaker: Peterri Nurmi,  Helsinki Institute for Information Technology HIIT
Abstract:
Contemporary mobile phones readily support different positioning techniques. In addition to integrated GPS receivers, GSM and WiFi can be used for position estimation, and other sensors such as accelerometers and digital compasses can be used to support positioning, e.g., through dead reckoning or the detection of stationary periods. Selecting which sensor technologies to use for positioning is, however, a non-trivial task as available sensor technologies vary considerably in terms of their energy demand and the accuracy of location estimates. To improve the energy-efficiency of mobile devices and to provide as accurate position estimates as possible, novel on-device positioning technologies together with techniques that select optimal sensor modalities based on positioning accuracy requirements are required. In this talk we first introduce novel GSM and WiFi fingerprinting algorithms that run directly on mobile devices with minimal energy consumption [1]. We also introduce our recent work on minimizing the power consumption of continuous location and trajectory tracking on mobile devices [2].
[1] P. Nurmi, S. Bhattacharya, J. Kukkonen: “A grid-based algorithm for on-device GSM positioning.” Proc. 12th ACM International Conference on Ubiquitous Computing (Ubicomp, Copenhagen, Denmark, September 2010). ACM Press, 2010, 227-236.
[2] M. B. Kjaergaard, S. Bhattacharya, H. Blunck, P. Nurmi, “Energy-efficient Trajectory Tracking for Mobile Devices”, Proc. 9th International Conference on Mobile Systems, Applications and Services (MobiSys, June-July, 2011).

About Petteri:
Dr. Petteri Nurmi is a Senior Researcher at the Helsinki Institute for Information Technology HIIT. He received a PhD in Computer Science from the University of Helsinki in 2009. He is currently co-leading the Adaptive Computing research group at HIIT together with Doc. Patrik Floréen. His research focuses on ubiquitous computing, user modeling and interaction with a view of making the life of ordinary people easier through easy-to-use mobile services. He regularly serves as Program Committee Member and reviewer for numerous leading conferences and journals. More information about his research can be found from the webpage of the research group: http://www.hiit.fi/adapc/

Speaker: Mirco Musolesi, Computer Science, University of St Andrews

Abstract:

Mobile phones are increasingly equipped with sensors, such as accelerometers, GPS receivers, proximity sensors and cameras, that can be used to sense and interpret people behaviour in real-time. Novel user-centered sensing applications can be built by exploiting the availability of such technologies in these devices that are part of our everyday experience. Moreover, data extracted from the sensors can also be used to model people behaviour and movement patterns providing a very rich set of multi-dimensional data, which can be extremely useful for social science, marketing and epidemiological studies.

In this talk I will present some of my recent work in this area including the design and implementation of the CenceMe platform, a system that supports the inference of activities and other presence information of individuals using off-the-shelf sensor-enabled phones and of EmotionSense, a system for supporting social psychology research. Finally, I will discuss the issues related to the design of energy-efficient social sensing systems.

About Mirco:

Dr. Mirco Musolesi is a SICSA Lecturer at the School of Computer Science at the University of St. Andrews. He received a PhD in Computer Science from University College London in 2007 and a Master in Electronic Engineering from the University of Bologna in 2002. From October 2005 to August 2007 he was a Research Fellow at the Department of Computer Science, University College London. Then, from September 2007 to August 2008 he was an ISTS Postdoctoral Research Fellow at Dartmouth College, NH, USA, and from September 2008 to October 2009 a Postdoctoral Research Associate at the Computer Laboratory, University of Cambridge. His research interests lie in the broad area of mobile systems and networking with a current focus on intelligent mobile systems, online social networks, application of complex network theory to networked systems design, mobility modelling and sensing systems based on mobile phones. More information about his research profile can be found at the following URL: http://www.cs.st-andrews.ac.uk/~mirco

Speaker: Nava Tintarev, University of Aberdeen

Abstract:
Story-telling, (including personal narrative), is a big part of our personal and social communication. This talk will identify challenges and solutions that look at the generation of narrative for social communication. We describe a way to “automatically” generate personal stories. The stories which are mix of natural language and multimedia, are based on sensor, and other data, collected with a mobile phone. This study will place a particular focus on the natural language generation task of document structuring: segmenting this data into meaningful and distinct events.
About Nava:
Nava Tintarev has worked on applied HCI projects with themes such as explanations in recommender systems, recommendations in
a mobile travel scenario, and more recently, natural language generation for assistive technology.

Currently, she is working as a Research Fellow at the University of Aberdeen where she is a member of the Natural Language Generation Group.
She has been working on the “How was School today…?” project, which helps children with complex communication needs create and tell a story
about their day at school (which will be the applied setting for the talk on the 19th of July). Before that, she was at Telefónica Research, Barcelona,
working on user-centred issues in recommender systems.
Her doctoral thesis focused on explanations for recommender systems, and one of her papers on the topic
won her the James Chen best student paper award at the International Conference on Hypermedia (2008). For the last
three years she has also been co-organizing a workshop on explanation-aware computing (ExaCt) (http://exact2011.workshop.hm/).