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Heng Xu

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Heng Xu
Title(s):
  • Associate Professor of Information Sciences and Technology

Contact:
307C Information Sciences and Technology Building
University Park, PA 16802
(814) 867-0469
Education:
  • Ph.D. in Information Systems, National University of Singapore, Singapore, 2001-2005

  • Certificate in Fashion Design, Nanyang Academy of Fine Arts, Singapore, 2003-2005

Biography:

Dr. Heng Xu teaches courses on security and risk analysis, integration of privacy and security, human information behavior, and organizational informatics. Her research themes emerge from her interests in the fields of information privacy, data analytics, information systems, human-computer interaction, social psychology and public policy. She continuously strives to increase the impact of her work in these fields through crafting of insightful research questions, to address how factors related to technological change (e.g., big data) and societal trends (e.g., smart city) are combining to shape new sociotechnical systems and their implications.

She has authored or co-authored over 100 research papers on information privacy, security management, human-computer interaction, and technology innovation adoption. Her award winning work has been published in prestigious outlets, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, University of Pennsylvania Journal of Constitutional Law, Proceedings of the International World Wide Web Conference (WWW), Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), and many others.

She has been a recipient of an NSF Career award (2010) and the endowed PNC Technologies Career Development Professorship (2010-2013). She has received a number of best paper nominations and awards at leading conferences such as CSCW (Best Paper Honorable Mention Award 2015), CHI (Best Paper Award 2015; Best Paper Honorable Mention Award 2014 & 2013), International Conference on Electronic Commerce (Best Paper Nominee 2012), International Conference on Information Systems (Best Theme Paper runner-up in ICIS 2003, and Best Doctoral Dissertation runner-up in ICIS 2006), and others.

Dr. Xu is currently on a temporary rotation as a Program Director for several interdisciplinary research programs at the U.S. National Science Foundation. Much of her work at NSF focused on bringing the social, behavioral and economic sciences to studies of major challenges in Big Data and Cybersecurity & Privacy.

Research Interests:

PAL -- Privacy Assurance Lab: Dr. Xu's privacy research interests lie in five themes: privacy conceptualization, user privacy behavior, strategic privacy management, privacy policy, and privacy by design. Her research group seeks to identify the means of having privacy safeguards in place at different levels: individual, group, organization, and system. Toward this end, they have adopted an interdisciplinary research approach by integrating the fields of information systems, organizational studies, human-computer interaction, public policy, and social psychology to develop privacy theories, tools and techniques that help IT professionals, business leaders and policy makers bring system designs, business strategies, and legal requirements into better alignment.

FAR -- Fashion Analytics Research: Understanding fashion trends via a data analytics approach is challenging because different stakeholders may have different interpretations of trends. When data scientists work on trend analysis, they concentrate on technical mechanisms that fashion designers never care about. When fashion designers work on trend analysis, they see fashionable nuances that everyday people ignore. When everyday people talk about fashion trends, they see wearable design elements that fashion designers do not. This line of research is designed to integrate these different perspectives in the fields of data analytics, fashion design, and consumer behavior to better understand and predict fashion trends. Currently the FAR group is exploring the following three topics:

  1. Natural Language Analysis for Fashion Feature Extraction
  2. Fashion Trend Analysis
  3. Social Network Analysis of Fashion Designers
Publications:

SELECTED JOURNAL PUBLICATIONS

  • Eikey, E., Murphy, A., Reddy, M., and Xu. H. (2015). Designing for Privacy in Hospitals: Understanding the Gap between User Activities and IT Staff’s Understandings, International Journal of Medical Informatics, accepted.
  • Erickson, L., Wisniewski, P., Xu, H., Rosson, M.B., and Carroll, J.M. (2015). The Boundaries Between: Parental Involvement in a Teen's Online World, Journal of the Association for Information Science and Technology, DOI: 10.1002/asi.23450.
  • Dinev, T., Xu, H., Smith, H. J., and Hart, P. (2013). Information Privacy and Correlates: An Empirical Attempt to Bridge and Distinguish Privacy-Related Concepts, European Journal of Information Systems (22:3), pp. 295-316.
  • Xu, H. (2012). Reframing Privacy 2.0 in Online Social Networks, University of Pennsylvania Journal of Constitutional Law (14:14), pp. 1077-1102.
  • Xu, H., Crossler, R. E., and Bélanger, F. (2012). A Value Sensitive Design Investigation of Privacy Enhancing Technologies in Web Browsers, Decision Support Systems (54:1), pp. 424-433.
  • Xu, H., Teo, H. H., Tan, B.C.Y., and Agarwal, R. (2012). Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services, Information Systems Research (23: 4), pp. 1342-1363.
  • Smith, H. J., Dinev, T., and Xu, H. (2011). Information Privacy Research: An Interdisciplinary Review, MIS Quarterly (35:4), pp. 989-1015.
  • Li, H., Sarathy, R., and Xu, H. (2011). The Role of Affect and Cognition on Online Consumers' Willingness to Disclose Personal Information, Decision Support Systems, Vol. 51, No. 3, pp. 434-445.
  • Xu, H., Dinev, T., Smith, H. J., and Hart, P. (2011). Information Privacy Concerns: Linking Individual Perceptions with Institutional Privacy Assurances, Journal of the Association for Information Systems, Vol. 12, No. 12, pp. 518-546.
  • Xu, H., Luo, X., Carroll, J.M., and Rosson, M.B. (2011). The Personalization Privacy Paradox: A Study of Privacy Decision Making Process for Location-Awareness Marketing, Decision Support Systems, Vol. 51, No.1, pp.42-52.
  • Squicciarini, C. A., Xu, H., and Zhang, X. (2011). CoPE: Enabling Collaborative Privacy Management in Online Social Networks, Journal of the American Society for Information Science and Technology (JASIST), Vol. 62, No.3, pp.521-534.
  • Xu, H., Teo, H. H., Tan, B.C.Y., and Agarwal, R. (2010). The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services, Journal of Management Information Systems, Vol. 26, No.3, pp.137-176.

SELECTED CONFERENCE PROCEEDINGS (Recent 3 years)

  •  Zhang, B., and Xu. H. (2016). Privacy Nudges for Mobile Applications: Effects on the Creepiness Emotion and other Privacy Attitudes, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), San Francisco, California.
  • Jia, H., and Xu. H. (2015). Examining Users' Collective Privacy Concerns on Social Networking Sites, Proceedings of the International Conference on Information Systems (ICIS), Fort Worth, Texas.
  • Wisniewski, P., Jia, H., Wang, N., Zheng, S., Xu, H., Rosson, M.B., and Carroll, J.M. (2015). Resilience Mitigates the Negative Effects of Adolescent Internet Addiction and Online Risk Exposure, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Seoul, Korea, 4029-4038. (23% acceptance rate; Best Paper Award).
  • Wisniewski, P., Jia, H., Xu, H., Rosson, M.B., and Carroll, J.M. (2015). “Preventative” vs. “Reactive:” How Parental Mediation Influences Teens’ Social Media Privacy Behaviors, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Vancouver, Canada, 302-316. (28% acceptance rate; Best Paper Honorable Mention).
  • Jia, H., Wisniewski, P., Xu, H., Rosson, M.B., and Carroll, J.M. (2015). Risk-taking as a Learning Process for Shaping Teen’s Online Information Privacy Behaviors, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Vancouver, Canada, 583-599. (28% acceptance rate).
  • Gu, J., Xu, Y., Xu, H., and Ling, H. (2015). Interaction Effects of Contextual Cues on Privacy Concerns: the Case of Android Applications, Proceedings of the 48th Hawaii International Conference on System Sciences (HICSS), Kauai, Hawaii, 3498 - 3507. (Best Paper Nomination).
  • Wisniewski, P., Xu, H., and Chen, Y. (2014). Understanding User Adaptation Strategies for the Launching of Facebook Timeline, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Toronto, Canada, 2421-2430. (23% acceptance rate; Best Paper Honorable Mention).
  • Mennecke, B., Xu, H., Tan, C.-H., Smith, J.H., Shroff, M., Crompton, M. and George, J. (2014). Privacy in the Age of Big Data: The Challenges and Opportunities for Privacy Research, Proceedings of the 35th Annual International Conference on Information Systems (ICIS), Auckland, New Zealand.
  • Wisniewski, P., Xu, H., Rosson, M.B., and Carroll, J.M. (2014). Adolescent Online Safety: The ‘Moral’ of the Story, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Baltimore, Maryland, pp. 1258-1271. (27% acceptance rate).
  • Murphy, A., Reddy, M., and Xu, H. (2014). Privacy Practices in Collaborative Environments: A Study of Emergency Department Staff, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Baltimore, Maryland, pp. 269-282. (27% acceptance rate).
  • Chen, Y., Xu, H., Zhou, Y., and Zhu, S. (2013). Is This App Safe for Children? A Comparison Study of Maturity Ratings on Android and iOS Applications, Proceedings of the International World Wide Web Conference (WWW), Rio de Janeiro, Brazil, pp. 201-212. (15% acceptance rate).
  • Shi, P., Xu, H., and Chen, Y. (2013). Using Contextual Integrity to Examine Interpersonal Information Boundary on Social Network Sites, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Paris, France, pp.35-38. (20% acceptance rate; Best Paper Honorable Mention)
  • Wang, N., Grossklags, J. and Xu, H. (2013). An Online Experiment of Social Applications' Privacy Authorization Dialogues, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), San Antonio, Texas, pp. 261-272.
  • Chen, Y., and Xu, H. (2013). Privacy Management in Dynamic Groups: Understanding Information Privacy in Medical Practices, Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), San Antonio, Texas, pp. 541-552.