Publication statistics

Pub. period:2007-2012
Pub. count:15
Number of co-authors:31


Number of publications with 3 favourite co-authors:

Carsten Magerkurth:
Florian Michahelles:
Markus Lochtefeld:



Productive colleagues

Petteri Nurmi's 3 most productive colleagues in number of publications:

Antti Oulasvirta:57
Carsten Magerkurth:19
Antti Salovaara:18

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Petteri Nurmi


Publications by Petteri Nurmi (bibliography)

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Forsblom, Andreas, Nurmi, Petteri, man, Pirkka and Liikkanen, Lassi (2012): Out of the bubble: serendipitous even recommendations at an urban music festival. In: Proceedings of the 2012 International Conference on Intelligent User Interfaces 2012. pp. 253-256. Available online

Advances in positioning technologies have resulted in a surge of location-based recommendation systems for mobile devices. A central challenge in these systems is to avoid the so-called filter bubble effect, i.e., that people are not only exposed to information that is in line with their personal ecosystem, but that they can also discover novel and otherwise interesting content. We present results from a field study of a mobile recommendation system that has been aimed to support serendipitous discovery of events at an urban culture festival. Results from the study indicate that suitably designed recommendations together with access to relevant external information sources can lead to serendipitous discovery of new content, such as new artists, bands or individual songs. Our results also indicate that proximity has little effect on the effectiveness of serendipitous recommendations.

© All rights reserved Forsblom et al. and/or ACM Press

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Schwartz, Tim, Kahl, Gerrit, Pulkkinen, Teemu, Nurmi, Petteri, Dim, Eyal and Applin, Sally (2012): 2nd workshop on location awareness for mixed and dual reality (LaMDa'12). In: Proceedings of the 2012 International Conference on Intelligent User Interfaces 2012. pp. 393-396. Available online

The workshop explores the interactions between location awareness and Dual/Mixed Reality in smart environments and the impact on culture and society. The main scope of this workshop is: How can the Dual Reality paradigm be used to improve applications in smart environments and which new possibilities are opened up by these paradigms? This includes positioning methods and location-based services using the DR paradigm, such as navigation services and group interaction services (location-based social signal processing). The workshop is also open to discuss sensor and actuator technologies that may help to realize the synchronization of the virtual and real world. The main scope of this workshop is: How can the Dual Reality paradigm be used to improve location-based and socially-aware services and other applications in smart environments?

© All rights reserved Schwartz et al. and/or ACM Press

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Lehtinen, Ville, Oulasvirta, Antti, Salovaara, Antti and Nurmi, Petteri (2012): Dynamic tactile guidance for visual search tasks. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 445-452. Available online

Visual search in large real-world scenes is both time consuming and frustrating, because the search becomes serial when items are visually similar. Tactile guidance techniques can facilitate search by allowing visual attention to focus on a subregion of the scene. We present a technique for dynamic tactile cueing that couples hand position with a scene position and uses tactile feedback to guide the hand actively toward the target. We demonstrate substantial improvements in task performance over a baseline of visual search only, when the scene's complexity increases. Analyzing task performance, we demonstrate that the effect of visual complexity can be practically eliminated through improved spatial precision of the guidance.

© All rights reserved Lehtinen et al. and/or ACM Press

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Gehring, Sven, Lochtefeld, Markus, Magerkurth, Carsten, Nurmi, Petteri and Michahelles, Florian (2011): Workshop on mobile interaction in retail environments (MIRE). In: Proceedings of 13th Conference on Human-computer interaction with mobile devices and services 2011. pp. 729-731. Available online

The workshop on mobile interaction in retail environments (MIRE) brings together researchers and practitioners from academy and industry to explore how mobile phones and mobile interaction can be embedded in retail environments to create new shopping experiences and mobile enhanced services.

© All rights reserved Gehring et al. and/or ACM Press

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Nurmi, Petteri, Bhattacharya, Sourav and Kukkonen, Joonas (2010): A grid-based algorithm for on-device GSM positioning. In: Proceedings of the 2010 International Conference on Uniquitous Computing 2010. pp. 227-236. Available online

We propose a grid-based GSM positioning algorithm that can be deployed entirely on mobile devices. The algorithm uses Gaussian distributions to model signal intensity variations within each grid cell. Position estimates are calculated by combining a probabilistic centroid algorithm with particle filtering. In addition to presenting the positioning algorithm, we describe methods that can be used to create, update and maintain radio maps on a mobile device. We have implemented the positioning algorithm on Nokia S60 and Nokia N900 devices and we evaluate the algorithm using a combination of offline and real world tests. The results indicate that the accuracy of our method is comparable to state-of-the-art methods, while at the same time having significantly smaller storage requirements.

© All rights reserved Nurmi et al. and/or their publisher

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Nurmi, Petteri, Forsblom, Andreas, Floren, Patrik, Peltonen, Peter and Saarikko, Petri (2009): Predictive text input in a mobile shopping assistant: methods and interface design. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 435-438. Available online

The fundamental nature of grocery shopping makes it an interesting domain for intelligent mobile assistants. Even though the central role of shopping lists is widely recognized, relatively little attention has been paid to facilitating shopping list creation and management. In this paper we introduce a predictive text input technique that is based on association rules and item frequencies. We also describe an interface design for integrating the predictive text input with a web-based mobile shopping assistant. In a user study we compared two interfaces, one with text input support and one without. Our results indicate that, even though shopping list entries are typically short, our technique makes text input significantly faster, decreases typing error rates and increases overall user satisfaction.

© All rights reserved Nurmi et al. and/or their publisher

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Hofte, Henri ter, Jensen, Kasper Lvborg, Nurmi, Petteri and Froehlich, Jon (2009): Mobile Living Labs 09: Methods and Tools for Evaluation in the Wild: In: Proceedings of 11th Conference on Human-computer interaction with mobile devices and services 2009. p. 107. Available online

In a Mobile Living Lab, mobile devices are used to evaluate concepts and prototypes in real-life settings. In other words, the lab is brought to the people. This workshop provides a forum for researchers and practitioners to share experiences and issues with methods and tools for Mobile Living Labs. In particular, we seek to bring together people who have applied methods for Mobile Living Labs and people who build tools for those methods. The aim of the workshop is twofold. First, to make an up-to-date overview of current methods and tools for conducting user studies in Mobile Living Labs -- highlighting their individual strengths and weaknesses. Second, to uncover challenges that are not adequately addressed by current methods and tools and to come up with ideas and requirements that could fill this gap thus serving as beacons for further research and development in this area.

© All rights reserved Hofte et al. and/or their publisher

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Kukkonen, Joonas, Lagerspetz, Eemil, Nurmi, Petteri and Andersson, Mikael (2009): BeTelGeuse: A Platform for Gathering and Processing Situational Data. In IEEE Pervasive Computing, 8 (2) pp. 49-56. Available online

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Nurmi, Petteri, Forsblom, Andreas and Floren, Patrik (2009): Grocery Product Recommendations from Natural Language Inputs. In: Proceedings of the 2009 Conference on User Modeling, Adaptation and Personalization 2009. pp. 235-246. Available online

Shopping lists play a central role in grocery shopping. Among other things, shopping lists serve as memory aids and as a tool for budgeting. More interestingly, shopping lists serve as an expression and indication of customer needs and interests. Accordingly, shopping lists can be used as an input for recommendation techniques. In this paper we describe a methodology for making recommendations about additional products to purchase using items on the user's shopping list. As shopping list entries seldom correspond to products, we first use information retrieval techniques to map the shopping list entries into candidate products. Association rules are used to generate recommendations based on the candidate products. We evaluate the usefulness and interestingness of the recommendations in a user study.

© All rights reserved Nurmi et al. and/or their publisher

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Nurmi, Petteri, Lagerspetz, Eemil, Buntine, Wray, Floren, Patrik and Kukkonen, Joonas (2008): Product retrieval for grocery stores. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008. pp. 781-782. Available online

We introduce a grocery retrieval system that maps shopping lists written in natural language into actual products in a grocery store. We have developed the system using nine months of shopping basket data from a large Finnish supermarket. To evaluate the system, we used 70 real shopping lists gathered from customers of the supermarket. Our system achieves over 80% precision for products at rank one, and the precision is around 70% for products at rank 5.

© All rights reserved Nurmi et al. and/or ACM Press

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Bostrom, Fredrik, Floren, Patrik, Liu, Tianyan, Nurmi, Petteri, Oikarinen, Tiina-Kaisa, Vetek, Akos and Boda, Pter (2008): Capricorn: an intelligent interface for mobile widgets. In: Proceedings of the 2008 International Conference on Intelligent User Interfaces 2008. pp. 417-418. Available online

Widgets are embeddable objects that provide easy and ubiquitous access to dynamic information sources, for example weather, news or TV program information. Widgets are typically rather static -- they provide the information regardless of whether the information is relevant to the user's current information needs. In this paper we introduce Capricorn, which is an intelligent interface for mobile widgets. The interface uses various adaptive web techniques for facilitating navigation. For example, we use collaborative filtering to recommend suitable widgets and we dim infrequently used widgets. The demonstration presents the Capricorn interface focusing on the adaptive parts of the interface. The user interface is web-based, and as such platform independent. However, our target environment is mobile phones, and thus the interface has been optimized for mobile phones.

© All rights reserved Bostrom et al. and/or ACM Press

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Bostrom, Fredrik, Nurmi, Petteri, Floren, Patrik, Liu, Tianyan, Oikarinen, Tiina-Kaisa, Vetek, Akos and Boda, Pter (2008): Capricorn - an intelligent user interface for mobile widgets. In: Hofte, G. Henri ter, Mulder, Ingrid and Ruyter, Boris E. R. de (eds.) Proceedings of the 10th Conference on Human-Computer Interaction with Mobile Devices and Services - Mobile HCI 2008 September 2-5, 2008, Amsterdam, the Netherlands. pp. 327-330. Available online

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Nurmi, Petteri, Lagerspetz, Eemil, Buntine, Wray, Floren, Patrik, Kukkonen, Joonas and Peltonen, Peter (2008): Natural language retrieval of grocery products. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun and Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 1413-1414. Available online

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Nurmi, Petteri and Bhattacharya, Sourav (2008): Identifying Meaningful Places: The Non-parametric Way. In: Indulska, Jadwiga, Patterson, Donald J., Rodden, Tom and Ott, Max (eds.) Pervasive 2008 - Pervasive Computing, 6th International Conference May 19-22, 2008, Sydney, Australia. pp. 111-127. Available online

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Nurmi, Petteri (2007): Perseus - A Personalized Reputation System. In: 2007 IEEE / WIC / ACM International Conference on Web Intelligence WI 2007 2-5 November, 2007, Silicon Valley, CA, USA. pp. 798-804. Available online

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