Number of co-authors:44
Number of publications with 3 favourite co-authors:Bob Price:3Bo Begole:3Marshall Bern:2
Kurt Partridge's 3 most productive colleagues in number of publications:Shumin Zhai:67Roy Want:41Victoria Bellotti:41
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Publications by Kurt Partridge (bibliography)
Bi, Xiaojun, Chelba, Ciprian, Ouyang, Tom, Partridge, Kurt and Zhai, Shumin (2012): Bimanual gesture keyboard. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 137-146. Available online
Gesture keyboards represent an increasingly popular way to input text on mobile devices today. However, current gesture keyboards are exclusively unimanual. To take advantage of the capability of modern multi-touch screens, we created a novel bimanual gesture text entry system, extending the gesture keyboard paradigm from one finger to multiple fingers. To address the complexity of recognizing bimanual gesture, we designed and implemented two related interaction methods, finger-release and space-required, both based on a new multi-stroke gesture recognition algorithm. A formal experiment showed that bimanual gesture behaviors were easy to learn. They improved comfort and reduced the physical demand relative to unimanual gestures on tablets. The results indicated that these new gesture keyboards were valuable complements to unimanual gesture and regular typing keyboards.
© All rights reserved Bi et al. and/or ACM Press
Zhang, Ying, Bern, Marshall, Liu, Juan, Partridge, Kurt, Begole, Bo, Moore, Bob, Reich, Jim and Kishimoto, Koji (2010): Facilitating meetings with playful feedback. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 4033-4038. Available online
Effective group meetings are important for the productivity of corporations. Various types of meeting facilitators have been developed over the past couple of years. We present a prototype that is unique because it captures both individual and group behaviors and provides real time playful feedback. The portable prototype includes a set of table-top microphones with an audio interface to a laptop PC, where audio data are processed and an avatar-based UI displays the shared state of individual and group behaviors during a meeting. The interface reveals not only level of participation, but also several other meaningful but harder to detect behaviors such as turn taking, interruptions, and group laughter. The presentation's design is deliberately playful to keep participants monitor, self-estimate and improve their meeting behavior.
© All rights reserved Zhang et al. and/or their publisher
Bolliger, Philipp, Partridge, Kurt, Chu, Maurice and Langheinrich, Marc (2009): Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling. In: Choudhury, Tanzeem, Quigley, Aaron J., Strang, Thomas and Suginuma, Koji (eds.) Location and Context Awareness - Fourth International Symposium - LoCA 2009 May 7-8, 2009, Tokyo, Japan. pp. 37-51. Available online
Ducheneaut, Nicolas, Partridge, Kurt, Huang, Qingfeng, Price, Bob, Roberts, Mike, Bellotti, Victoria and Begole, Bo (2009): Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities. In: Proceedings of the 2009 Conference on User Modeling, Adaptation and Personalization 2009. pp. 295-306. Available online
Collaborative filtering (CF) is at the heart of most successful recommender systems nowadays. While this technique often provides useful recommendations, conventional systems also ignore data that could potentially be used to refine and adjust recommendations based on a user's context and preferences. The problem is particularly acute with mobile systems where information delivery often needs to be contextualized. Past research has also shown that combining CF with other techniques often improves the quality of recommendations. In this paper, we present results from an experiment assessing user satisfaction with recommendations for leisure activities that are obtained from different combinations of these techniques. We show that the most effective mix is highly dependent on a user's familiarity with a geographical area and discuss the implications of our findings for future research.
© All rights reserved Ducheneaut et al. and/or their publisher
Partridge, Kurt and Price, Bob (2009): Enhancing Mobile Recommender Systems with Activity Inference. In: Proceedings of the 2009 Conference on User Modeling, Adaptation and Personalization 2009. pp. 307-318. Available online
Today's mobile leisure guide systems give their users unprecedented help in finding places of interest. However, the process still requires significant user interaction, for example to specify preferences and navigate lists. While interaction is effective for obtaining desired results, learning the interaction pattern can be an obstacle for new users, and performing it can slow down experienced users. This paper describes how to infer a user's high-level activity automatically to improve recommendations. Activity is determined by interpreting a combination of current sensor data, models generated from historical sensor data, and priors from a large time-use study. We present an initial user study that shows an increase in prediction accuracy
© All rights reserved Partridge and Price and/or their publisher
Yatani, Koji, Partridge, Kurt, Bern, Marshall and Newman, Mark W. (2008): Escape: a target selection technique using visually-cued gestures. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 285-294. Available online
Many mobile devices have touch-sensitive screens that people interact with using fingers or thumbs. However, such interaction is difficult because targets become occluded, and because fingers and thumbs have low input resolution. Recent research has addressed occlusion through visual techniques. However, the poor resolution of finger and thumb selection still limits selection speed. In this paper, we address the selection speed problem through a new target selection technique called Escape. In Escape, targets are selected by gestures cued by icon position and appearance. A user study shows that for targets six to twelve pixels wide, Escape performs at a similar error rate and at least 30% faster than Shift, an alternative technique, on a similar task. We evaluate Escape's performance in different circumstances, including different icon sizes, icon overlap, use of color, and gesture direction. We also describe an algorithm that assigns icons to targets, thereby improving Escape's performance.
© All rights reserved Yatani et al. and/or ACM Press
Bellotti, Victoria, Begole, Bo, Chi, Ed H., Ducheneaut, Nicolas, Fang, Ji, Isaacs, Ellen, King, Tracy, Newman, Mark W., Partridge, Kurt, Price, Bob, Rasmussen, Paul and Roberts, Michael (2008): Activity-based serendipitous recommendations with the Magitti mobile leisure guide. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1157-1166. Available online
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and, without its user having to issue a query, automatically generates recommendations for content matching. Extensive field studies of leisure time practices in an urban setting (Tokyo) motivated the idea, shaped the details of its design and provided data describing typical behavior patterns. The paper describes the fieldwork, user interface, system components and functionality, and an evaluation of the Magitti prototype.
© All rights reserved Bellotti et al. and/or ACM Press
Partridge, Kurt and Golle, Philippe (2008): On using existing time-use study data for ubiquitous computing applications. In: Youn, Hee Yong and Cho, We-Duke (eds.) UbiComp 2008 Ubiquitous Computing - 10th International Conference September 21-24, 2008, Seoul, Korea. pp. 144-153. Available online
Sala, Matthias C., Partridge, Kurt, Jacobson, Linda and Begole, James (2007): An Exploration into Activity-Informed Physical Advertising Using PEST. In: LaMarca, Anthony, Langheinrich, Marc and Truong, Khai N. (eds.) PERVASIVE 2007 - Pervasive Computing 5th International Conference May 13-16, 2007, Toronto, Canada. pp. 73-90. Available online
Zhang, Ying, Partridge, Kurt and Reich, Jim (2007): Localizing Tags Using Mobile Infrastructure. In: Hightower, Jeffrey, Schiele, Bernt and Strang, Thomas (eds.) Location- and Context-Awareness - Third International Symposium - LoCA 2007 September 20-21, 2007, Oberpfaffenhofen, Germany. pp. 279-296. Available online
Partridge, Kurt, Chatterjee, Saurav, Sazawal, Vibha, Borriello, Gaetano and Want, Roy (2002): TiltType: accelerometer-supported text entry for very small devices. In: Beaudouin-Lafon, Michel (ed.) Proceedings of the 15th annual ACM symposium on User interface software and technology October 27-30, 2002, Paris, France. pp. 201-204. Available online
TiltType is a novel text entry technique for mobile devices. To enter a
character, the user tilts the device and presses one or more buttons. The
character chosen depends on the button pressed, the direction of tilt, and the
angle of tilt. TiltType consumes minimal power and requires little board space,
making it appropriate for wristwatch-sized devices. But because controlled
tilting of one's forearm is fatiguing, a wristwatch using this technique must
be easily removable from its wriststrap. Applications include two-way paging,
text entry for watch computers, web browsing, numeric entry for calculator
watches, and existing applications for PDAs.
© All rights reserved Partridge et al. and/or ACM Press
Partridge, Kurt, Dahlquist, Bradley, Veiseh, Alireza, Cain, Annie, Foreman, Ann, Goldberg, Joseph and Borriello, Gaetano (2001): Empirical measurements of intrabody communication performance under varied physical configurations. In: Marks, Joe and Mynatt, Elizabeth D. (eds.) Proceedings of the 14th annual ACM symposium on User interface software and technology November 11 - 14, 2001, Orlando, Florida. pp. 183-190. Available online
Intrabody communication (IBC) is a wireless communications technology that
uses a person's body as the transmission medium for imperceptible electrical
signals. Because communication is limited to the vicinity of a person's body,
ambiguities arising from communication between personal devices and
environmental devices when multiple people are present can, in theory, be
solved simply. Intrabody communication also potentially allows data to be
transferred when a person touches an IBC-enabled device. We have designed and
constructed an intrabody communication system, modeled after Zimmerman's
original design, and extended it to operate up to 38.4Kbps and to calculate
signal strength. In this paper, we present quantitative measurements of data
error rates and signal strength while varying hand distance to transceiver
plate, electrode location on the body, touch plate size and shape, and several
other factors. We find that plate size and shape have only minor effects, but
that the distance to plate and the coupling mechanism significantly effect
signal strength. We also find that portable devices, with poor ground coupling,
suffer more significant signal attenuation. Our goal is to promote design
guidelines for this technology and identify the best contexts for its effective
© All rights reserved Partridge et al. and/or ACM Press
Modugno, Francesmary, Leveson, Nancy G., Reese, Jon Damon, Partridge, Kurt and Sandys, Sean D. (1997): Integrated Safety Analysis of Requirements Specifications. In: 3rd IEEE International Symposium on Requirements Engineering RE97 January 5-8, 1997, Annapolis, MD, USA. pp. 148-159. Available online
Modugno, Francesmary, Leveson, Nancy G., Reese, Jon Damon, Partridge, Kurt and Sandys, Sean D. (1997): Integrated Safety Analysis of Requirements Specifications. In Requir. Eng., 2 (2) pp. 65-78. Available online
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