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Maryam Kamvar

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Publications by Maryam Kamvar (bibliography)

» 2009 «

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Kamvar, Maryam, Kellar, Melanie, Patel, Rajan and Xu, Ya (2009): Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices. In: Proceedings of the 2009 International Conference on the World Wide Web 2009. pp. 801-810. Available online

“We present a logs-based comparison of search patterns across three platforms: computers, iPhones and conventional mobile phones. Our goal is to understand how mobile search users differ from computer-based search users, and we focus heavily on the distribution and variability of tasks that users perform from each platform. The results suggest that search usage is much more focused for the average mobile user than for the average computer-based user. However, search behavior on high-end phones resembles computer-based search behavior more so than mobile search behavior. A wide variety of implications follow from these findings. First, there is no single search interface which is suitable for all mobile phones. We suggest that for the higher-end phones, a close integration with the standard computer-based interface (in terms of personalization and available feature set) would be beneficial for the user, since these phones seem to be treated as an extension of the users' computer. For all other phones, there is a huge opportunity for personalizing the search experience for the user's "mobile needs", as these users are likely to repeatedly search for a single type of information need on their phone.”

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Gossweiler, Rich, Kamvar, Maryam and Baluja, Shumeet (2009): What's up CAPTCHA?: a CAPTCHA based on image orientation. In: Proceedings of the 2009 International Conference on the World Wide Web 2009. pp. 841-850. Available online

“We present a new CAPTCHA which is based on identifying an image's upright orientation. This task requires analysis of the often complex contents of an image, a task which humans usually perform well and machines generally do not. Given a large repository of images, such as those from a web search result, we use a suite of automated orientation detectors to prune those images that can be automatically set upright easily. We then apply a social feedback mechanism to verify that the remaining images have a human-recognizable upright orientation. The main advantages of our CAPTCHA technique over the traditional text recognition techniques are that it is language-independent, does not require text-entry (e.g. for a mobile device), and employs another domain for CAPTCHA generation beyond character obfuscation. This CAPTCHA lends itself to rapid implementation and has an almost limitless supply of images. We conducted extensive experiments to measure the viability of this technique.”

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» 2008 «

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Kamvar, Maryam and Baluja, Shumeet (2008): Query suggestions for mobile search: understanding usage patterns. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1013-1016. Available online

“Entering search terms on mobile phones is a time consuming and cumbersome task. In this paper, we explore the usage patterns of query entry interfaces that display suggestions. Our primary goal is to build a usage model of query suggestions in order to provide user interface guidelines for mobile text prediction interfaces. We find that users who were asked to enter queries on a search interface with query suggestions rated their workload lower and their enjoyment higher. They also saved, on average, approximately half of the key presses compared to users who were not shown suggestions, despite no associated decrease in time to enter a query. Surprisingly, users also accepted suggestions when the process of doing so resulted in an increase in the number of total key presses.”

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» 2007 «

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Kamvar, Maryam and Baluja, Shumeet (2007): The role of context in query input: using contextual signals to complete queries on mobile devices. In: Cheok, Adrian David and Chittaro, Luca (eds.) Proceedings of the 9th Conference on Human-Computer Interaction with Mobile Devices and Services - Mobile HCI 2007 September 9-12, 2007, Singapore. pp. 405-412. Available online

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Kamvar, Maryam and Baluja, Shumeet (2007): Deciphering Trends in Mobile Search. In IEEE Computer, 40 (8) pp. 58-62

» 2006 «

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Kamvar, Maryam and Baluja, Shumeet (2006): A large scale study of wireless search behavior: Google mobile search. In: Proceedings of ACM CHI 2006 Conference on Human Factors in Computing Systems 2006. pp. 701-709. Available online

“We present a large scale study of search patterns on Google's mobile search interface. Our goal is to understand the current state of wireless search by analyzing over 1 Million hits to Google's mobile search sites. Our study also includes the examination of search queries and the general categories under which they fall. We follow users throughout multiple interactions to determine search behavior; we estimate how long they spend inputting a query, viewing the search results, and how often they click on a search result. We also compare and contrast search patterns between 12-key keypad phones (cellphones), phones with QWERTY keyboards (PDAs) and conventional computers.”

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Changes to this page (author)

23 Feb 2010: Enabled abstracts to be shown on Maryam Kamvar's author page.
09 Jul 2009: Author was edited

09 Jul 2009: Author was edited
01 Jun 2009: Author was edited
29 May 2009: Author was edited
12 May 2008: Author was edited
19 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:2006-2009
Publication count:6
Number of co-authors:5

Productive colleagues

Maryam Kamvar's 3 most productive colleagues in number of publications:

Melanie Kellar:17
Shumeet Baluja:10
Rich Gossweiler:7

Collaboration count

Number of publications with 3 favourite co-authors:

Shumeet Baluja:5
Rich Gossweiler:1
Ya Xu:1

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Learn more about Maryam Kamvar:
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- ACM
- CSB

Conference Calendar

Mar 21

WritersUA Conf. for Software User Assistance

Mar 22

UX People

Mar 22

ETRA '10 - Eye Tracking Research & Applications Symp.

Mar 17

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