Jhilmil Jain

Ph.D.

Picture of Jhilmil Jain. Copyright unknown.
Personal Homepage:
hpl.hp.com/personal/Jhilmil_Jain/index.html

Current place of employment:
Hewlett-Packard Laboratories

Jhilmil Jain is a Research Scientist in the Intelligent Information Management Lab at Hewlett-Packard Laboratories, Palo Alto, CA. She received a Ph.D. degree in Computer Science with a specialization in Human Computer Interaction in December 2006, and a Master's degree in Software Engineering in August 2002 from Auburn University, Alabama. During her graduate studies, she also worked on projects in the areas of multimodal interaction and semantic web modeling at HP Labs and IBM Almaden Research Center. She has several publications and patents in information visualization, multimodal interaction modeling, personal information management systems, user research and experimental evaluation. She has served on the program committee of the CHIMIT, HCII, ACMSE, CISIS, GHC conferences. She is a member of ACM, SIGCHI, BayCHI, UPA, UXnet, Phi Kappa Phi, and Upsilon Pi Epsilon.

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Publications by Jhilmil Jain (bibliography)

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» 2009 «

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Jain, Jhilmil and Bhatti, Nina (2009): Imaging-based cosmetics advisory service. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 3781-3786. Available online

In this paper we describe a multimodal cosmetic advisory system that recommends cosmetics appropriate for users' skin tone. This system is intended for commercial use to address the problem of color selection of cosmetic foundation. Based on surveys and semi-structured interviews we have verified that visual selection of color foundation cosmetics is error prone, and the results of our study indicate that both mobile and kiosk touch points are essential to cover the entire target population (women of all ages) since technical vs. social comfort, accuracy vs. convenience and social vs. individual needs play a huge role in the usage and adoption of personal advisory services.

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Courage, Catherine, Jain, Jhilmil and Rosenbaum, Stephanie (2009): Best practices in longitudinal research. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 4791-4794. Available online

This workshop will identify best practices for longitudinal research through an in-depth exploration of methods and metrics for collecting and analyzing user data over time. This is the fourth event in an ongoing effort by the organizers to enhance our current body of knowledge about longitudinal research.

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» 2008 «

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Vaughan, Misha, Courage, Catherine, Rosenbaum, Stephanie, Jain, Jhilmil, Hammontree, Monty, Beale, Russell and Welsh, Dan (2008): Longitudinal usability data collection: art versus science?. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 2261-2264. Available online

In this proposal the authors describe an exciting panel for CHI 2008 on Longitudinal Usability Data Collection. Collecting usability data over time is increasingly becoming best practice in industry, but lacks "thought leadership" in the current literature -- very few articles or books exist addressing the topic. To inspire academic research and share best practices with practitioners, we propose a panel to debate some key questions that arose from the CHI 2007 SIG on the same topic.

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Jain, Jhilmil, Ghosh, Riddhiman and Dekhil, Mohamed (2008): Multimodal capture of consumer intent in retail. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 3207-3212. Available online

In this paper we present a prototype for capturing retail related consumer intent using multiple devices and in multimodal input formats such as text, audio, and still images. The prototype was used in a longitudinal user study to analyze the process that consumers go through in order to make purchasing decisions. Based on these findings, we recommend desirable features for information management systems specifically designed for the retail environment.

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Jain, Jhilmil, Bhatti, Nina, Baker, H. Harlyn, Chao, Hui, Dekhil, Mohamed, Harville, Michael, Lyons, Nic, Schettino, John and Süsstrunk, Sabine (2008): Color match: an imaging based mobile cosmetics advisory service. 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. 331-334. Available online

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Jain, Jhilmil, Ari, Ismail and Li, Jun (2008): Understanding the challenges faced during the management of data mining models. In: Frisch, AEleen, Kandogan, Eser, Lutters, Wayne G., Thornton, James D. and Mouloua, Mustapha (eds.) CHIMIT 2008 - Proceedings of the 2nd ACM Symposium on Computer Human Interaction for Management of Information Technology November 14-15, 2008, San Diego, California, USA. p. 11. Available online

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Jain, Jhilmil, Ari, Ismail and Li, Jun (2008): Designing dashboards for managing model lifecycle. In: Frisch, AEleen, Kandogan, Eser, Lutters, Wayne G., Thornton, James D. and Mouloua, Mustapha (eds.) CHIMIT 2008 - Proceedings of the 2nd ACM Symposium on Computer Human Interaction for Management of Information Technology November 14-15, 2008, San Diego, California, USA. p. 12. Available online

» 2006 «

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Jain, Jhilmil, Cross, James H., Hendrix, T. Dean and Barowski, Larry A. (2006): Experimental evaluation of animated-verifying object viewers for Java. In: Proceedings of the ACM Symposium on Software Visualization 2006. pp. 27-36. Available online

Although many visualization techniques have been shown to be pedagogically effective, they are still not widely adopted. The reasons include: lack of suitable methods of automatic-generation of visualizations, lack of integration among visualizations, and lack of integration with basic integrated development environment (IDE) support. To effectively use visualizations when developing code, it is useful to automatically generate multiple synchronized views without leaving the IDE. The jGRASP IDE provides object viewers that automatically generate dynamic, state-based visualizations of objects and primitive variables in Java. Such seamless integration of a lightweight IDE with a set of pedagogically effective software visualizations is unique and is currently unavailable in any other environment. Multiple instructors have reported positive anecdotal evidence of their usefulness. We conducted formal, repeatable experiments to investigate the effect of these viewers for singly linked lists on student performance and we found a statistically significant improvement over traditional methods of visual debugging that use break-points.

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Changes to this page (author)

27 Feb 2010: Enabled abstracts to be shown on Jhilmil Jain's author page.
01 Sep 2009: Author was edited
01 Sep 2009: Author was edited
09 Jul 2009: Author was edited
29 May 2009: Author was edited
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16 Sep 2008: Page was edited
03 Sep 2008: Added a picture of Jhilmil Jain
12 May 2008: Author was edited
12 May 2008: Author was added to the bibliography

Publication statistics

Publication period:2006-2009
Publication count:8
Number of co-authors:20



Productive colleagues

Jhilmil Jain's 3 most productive colleagues in number of publications:

Russell Beale:35
Stephanie Rosenbaum:11
Jun Li:8


Collaboration count

Number of publications with 3 favourite co-authors:

Mohamed Dekhil:2
Nina Bhatti:2
Jun Li:2

 

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