Dr Simone Stumpf

Contact details

Phone: +44 (0)20 7040 8168

Room: A206 College building

Online presence: LinkedIn Twitter @DrSimoneStumpf

Position

Lecturer, Course Director MSc Human-Centred Systems

Biography

Simone Stumpf received a PhD in Computer Science in 2001 and a BSc in Computer Science with Cognitive Science in 1996, both from University College London. She joined City University London as Lecturer in 2009. Previously, she worked at Oregon State University (USA) and University College London as a Research Fellow/Manager. Simone also has professional agency experience as a User Experience Architect, working on web presence, e-commerce and social networking projects.

Dr Simone Stumpf's core research focus has been on the use of intelligent systems by end users, end-user programming and information management systems. At University College London (UCL) she was involved in a large-scale user trial of biometric security systems and contributed to an EPSRC-funded project to design and implement a system used by security staff to detect and prevent theft by employees. At Oregon State University, she worked on the TaskTracer project (as part of the CALO research project) to develop an intelligent user interface system, targeted at information workers, that combined the automatic tracking of users' information resources and the application of machine learning to enable activity-based personal information management. She also has conducted research on the use of images by professionals and end users (specifically in information seeking) and how end users interact with music playlists.

More recently, she has focused extensively on end-user interactions with systems that use machine learning algorithms. She has investigated mechanisms for and effects of enabling end users to understand and control email filters, text classifiers and music recommender systems.

She is a member of the End Users Shaping Effective Software (EUSES) consortium, an international collaboration between, amongst others, University of Washington, Carnegie Mellon University, University of Cambridge and IBM, to develop and investigate technologies that support end-users to directly influence software behaviour.

Research interests

End-user programming, Intelligent User Interfaces, Personal Information Management, Novel interaction technologies, Privacy and Security, Inclusive Design.

Projects

Trusted Architecture for Securely Shared Services (TAS3)

End-user debugging of machine-learned programs project, NSF

Interaction Lab consultancy projects

Key publications

Stumpf S, Burnett M, Pipek V, Wong W-K (2012) End-user Interactions with Intelligent and Autonomous Systems. Extended Abstracts, ACM Conference on Human Factors in Computing Systems (CHI), Austin, Texas, 5-10 May 2012.

Kulesza T, Stumpf S, Kwan I, Burnett M, Wong W-K, (2012) Tell Me More? The Effects of Mental Model Soundness on Personalizing an Intelligent Agent. ACM Conference on Human Factors in Computing Systems (CHI), Austin, Texas, 5-10 May 2012. (Honorable Mention for Best Paper Award)

Curran W, Wong W-K, Moore T, Kulesza T, Stumpf S, Burnett M (2012) Recognizing "Cool": Can End Users Help Computer Vision Recognize Subjective Attributes of Objects in Images? Conference on Intelligent User Interfaces (IUI), Lisbon, Spain, 14-17 February 2012.

Kulesza T, Stumpf S, Burnett MB, Kwan I (to appear) Tell Me More? The Effects of Mental Model Soundness on Personalizing an Intelligent Agent. ACM Conference on Human Factors in Computing Systems (CHI), Austin, Texas, 5-10 May 2012.

Curran W, Wong W-K, Moore T, Kulesza T, Stumpf S, Burnett MB (to appear) Recognizing "Cool": Can End Users Help Computer Vision Recognize Subjective Attributes of Objects in Images? Conference on Intelligent User Interfaces (IUI), Lisbon, Spain, 14-17 February 2012.

Loumakis F, Stumpf S, Grayson D. (2011) This image smells good: Effects of image information scent in search engine results pages, ACM Conference on Information and Knowledge Management (CIKM), Glasgow, 24th-28 October 2011

Kulesza T, Stumpf S, Wong W-K, Burnett M, Perona S, Ko A, Oberst I (2011) Why-Oriented End-User Debugging of Naïve Bayes Text Classification. Transactions on Interactive Intelligent Systems. 1(1). DOI: http://doi.acm.org/10.1145/ 2030365.2030367.

Shinsel A, Kulesza T, Burnett M, Curran W, Groce A, Stumpf S, Wong W-K, (2011) Mini-Crowdsourcing End-User Assessment of Intelligent Assistants: A Cost-Benefit Study. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Pittsburgh, PA, USA, 18-22 September 2011.

Wong W-K, Oberst I, Das S, Moore T, Stumpf S, McIntosh K, Burnett MB (2011) End-User Feature Labeling: A Locally-Weighted Regression Approach. Nectar Program, AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, CA, USA, 7-11 August 2011.

Stumpf S, Muscroft S (2011) When users generate music playlists: When words leave off, music begins? Third International Workshop on Advances in Music Information Research (AdMIRe) in conjunction with the IEEE International Conference on Multimedia and Expo (ICME), Barcelona, Spain, 11-15 July 2011 (Best Paper award)

Kulesza T, Burnett MB, Stumpf S, Wong W-K, Das S, Groce A, Shinsel A, Bice F, McIntosh K (2011) Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. Third International Symposium on End-User Development (IS-EUD), Brindisi, Italy, 7-10 June 2011

Wong W-K, Oberst I, Das S, Moore T, Stumpf S, McIntosh K, Burnett MB (2011) End-User Feature Labeling: A Locally-Weighted Regression Approach. Conference on Intelligent User Interfaces (IUI), Palo Alto, CA, 13-16 February 2011 (Nominated for Best Paper award

Metoyer RA, Stumpf S, Neumann C, Dodge J, Cao J, Schnabel A (2010) Explaining How to Play Real-Time Strategy Games. Knowledge-Based Systems. 23 (4), pp. 295-301. DOI: http://dx.doi.org/10.1016/j.knosys.2009.11.006

Kulesza T, Stumpf S, Burnett MB, Wong W-K, Riche Y, Moore T, Oberst I, Shinsel A, McIntosh K (2010) Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Madrid-Leganes, 21 - 25 September 2010 DOI: http://doi.ieeecomputersociety.org/10.1109/VLHCC.2010.15

Kulesza T, Wong W-K, Stumpf S, Perona S, White R, Burnett M, Ian Oberst, Ko AJ (2009) Fixing the Program My Computer Learned: Barriers for End Users, Barriers for the Machine. Conference on Intelligent User Interfaces (IUI), Sanibel Island, Florida, 8-11 February, 2009. (Acceptance rate: 17%) DOI: http://doi.acm.org/10.1145/1502650.1502678

Stumpf S, Rajaram V, Li L, Burnett B, Wong W-K, Dietterich T, Sullivan E, Drummond R, Herlocker J (2009) Interacting Meaningfully with Machine Learning Systems: Three Experiments. International Journal of Human-Computer Studies. 67 (8), pp. 639-662. DOI: http://dx.doi.org/10.1016/j.ijhcs.2009.03.004

Lettkeman T, Stumpf S, Irvine J, Herlocker J (2006) Predicting Task-Specific Web Pages for Revisiting, Twenty-first National Conference on Artificial Intelligence (AAAI-06), Boston, MA, 18-20 July, 2006. http://www.aaai.org/Library/AAAI/2006/aaai06-215.php

Stumpf S, McDonnell J (2004) An investigation into sharing metadata: "I'm not thinking what you are thinking". Journal of Universal Computer Science (J.UCS), 10 (6), pp.740-748. DOI: http://dx.doi.org/10.3217/jucs-010-06-0740

Stumpf S, McDonnell JT (2002) Talking about team framing: using argumentation to analyse and support experiential learning in early design episodes. Design Studies 23(1), pp. 5-23. DOI: http://dx.doi.org/10.1016/S0142-694X(01)00020-5