Publication statistics

Pub. period:1989-2012
Pub. count:35
Number of co-authors:49


Number of publications with 3 favourite co-authors:

Keri Carpenter:
Victor M. Gonzalez:
Jorg Schreck:



Productive colleagues

Alfred Kobsa's 3 most productive colleagues in number of publications:

Ben Shneiderman:225
Constantine Stepha..:171
Catherine Plaisant:78

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Alfred Kobsa

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Publications by Alfred Kobsa (bibliography)

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Knijnenburg, Bart P., Bostandjiev, Svetlin, O'Donovan, John and Kobsa, Alfred (2012): Inspectability and control in social recommenders. In: Proceedings of the 2012 ACM Conference on Recommender Systems 2012. pp. 43-50.

Users of social recommender systems may want to inspect and control how their social relationships influence the recommendations they receive, especially since recommendations of social recommenders are based on friends rather than anonymous "nearest neighbors". We performed an online user experiment (N=267) with a Facebook music recommender system that gives users control over the recommendations, and explains how they came about. The results show that inspectability and control indeed increase users' perceived understanding of and control over the system, their rating of the recommendation quality, and their satisfaction with the system.

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

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Patil, Sameer, Page, Xinru and Kobsa, Alfred (2011): With a little help from my friends: can social navigation inform interpersonal privacy preferences?. In: Proceedings of ACM CSCW11 Conference on Computer-Supported Cooperative Work 2011. pp. 391-394.

Recent privacy controversies surrounding social networking sites demonstrate that the mere availability of settings is not enough for effective privacy management. We investigated whether the aggregated privacy choices of one's social circle might guide users in making informed privacy decisions. We conducted an experiment in which users specified preferences for six privacy-relevant settings in Instant Messaging. In one condition, users were provided with information indicating the privacy preferences of the majority of their ''buddies." Our results suggest that while this information did influence user choices, the effect was secondary to that of the ''privacy-sensitivity" of the system feature controlled by the particular setting. Frequency of IM usage was also associated with privacy choices. The experiment data coupled with user comments suggest several usability improvements in interfaces for specifying privacy preferences.

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

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Knijnenburg, Bart P., Willemsen, Martijn C. and Kobsa, Alfred (2011): A pragmatic procedure to support the user-centric evaluation of recommender systems. In: Proceedings of the 2011 ACM Conference on Recommender Systems 2011. pp. 321-324.

As recommender systems are increasingly deployed in the real world, they are not merely tested offline for precision and coverage, but also "online" with test users to ensure good user experience. The user evaluation of recommenders is however complex and resource-consuming. We introduce a pragmatic procedure to evaluate recommender systems for experience products with test users, within industry constraints on time and budget. Researchers and practitioners can employ our approach to gain a comprehensive understanding of the user experience with their systems.

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

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Page, Xinru and Kobsa, Alfred (2011): Personality-based privacy management for location-sharing in diverse subpopulations. In: Proceedings of the 2011 iConference 2011. pp. 736-738.

Researchers in the area of privacy management often suggest to provide users with a collection of privacy settings and good defaults for them. However, our research into people's attitudes towards location-sharing technology (considering both adopters and non-adopters) indicates that the right way to manage privacy and the right default can vary for different types of people; Key privacy concerns may differ by demographics and personality type, and personality may also influence privacy management preferences. To help researchers and practitioners better understand who is concerned about what, and how to best address those concerns, we will draw on our research and theories in the literature to construct and validate a scale that 1) assesses an individual's main privacy concerns towards location-sharing technology, and 2) measures personality traits relevant to privacy management. We will then put this scale into practice by deploying an enterprise-wide survey at our field site (a large multi-national entertainment corporation) that tests the relationship between the scale/subscales and an individual's intention to adopt location-sharing technology. We hope this will help us identify subpopulations with similar privacy concerns and/or personality traits, which can guide future design of privacy-sensitive location-sharing technology.

© All rights reserved Page and Kobsa and/or ACM Press

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Patil, Sameer and Kobsa, Alfred (2010): Enhancing privacy management support in instant messaging. In Interacting with Computers, 22 (3) pp. 206-217.

Instant Messaging (IM) is a useful tool for collaborative work. However, the awareness and communication features of IM pose a tension with privacy desires. Inadequate support for managing privacy could lead to suboptimal use of IM and thereby undermine its benefits. We conducted interviews and an Internet survey to understand privacy attitudes and practices in IM usage. Based on the findings from these studies, we designed an IM plugin to improve the support for privacy management in current IM systems. The plugin detects conflicts in privacy preferences, notifies the parties involved, and allows negotiation of a resolution. It also encrypts the communication channels and archives, allows different privacy preferences for different contact groups, and provides visualizations to facilitate the comparison of one's own IM activities with those of any IM contact group. A usability evaluation of the plugin indicated that it can be expected to succeed in its goal of providing IM users with better privacy management.

© All rights reserved Patil and Kobsa and/or Elsevier Science

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Kobsa, Alfred, Sonawalla, Rahim, Tsudik, Gene, Uzun, Ersin and Wang, Yang (2009): Serial hook-ups: a comparative usability study of secure device pairing methods. In: Proceedings of the 2009 Symposium on Usable Privacy and Security 2009. p. 10.

Secure Device Pairing is the bootstrapping of secure communication between two previously unassociated devices over a wireless channel. The human-imperceptible nature of wireless communication, lack of any prior security context, and absence of a common trust infrastructure open the door for Man-in-the-Middle (aka Evil Twin) attacks. A number of methods have been proposed to mitigate these attacks, each requiring user assistance in authenticating information exchanged over the wireless channel via some human-perceptible auxiliary channels, e.g., visual, acoustic or tactile. In this paper, we present results of the first comprehensive and comparative study of eleven notable secure device pairing methods. Usability measures include: task performance times, ratings on System Usability Scale (SUS), task completion rates, and perceived security. Study subjects were controlled for age, gender and prior experience with device pairing. We present overall results and identify problematic methods for certain classes of users as well as methods best-suited for various device configurations.

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

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Jannach, Dietmar, Geyer, Werner, Dugan, Casey, Freyne, Jill, Anand, Sarabjot Singh, Mobasher, Bamshad and Kobsa, Alfred (2009): Workshop on recommender systems and the social web. In: Proceedings of the 2009 ACM Conference on Recommender Systems 2009. pp. 421-422.

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Wang, Yang and Kobsa, Alfred (2009): Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites. In: Proceedings of the 2009 Conference on User Modeling, Adaptation and Personalization 2009. pp. 78-89.

Reconciling personalization with privacy has been a continuing interest in the user modeling community. In prior work, we proposed a dynamic privacy-enhancing user modeling framework based on a software product line architecture (PLA). Our system dynamically selects personalization methods during runtime that respect users' current privacy preferences as well as the prevailing privacy laws and regulations. One major concern about our approach is its performance since dynamic architectural reconfiguration during runtime is usually resource-intensive. In this paper, we describe four implementations of our system that vary two factors, and an in-depth performance evaluation thereof under realistic workload conditions. Our study shows that a customized version performs better than the original PLA implementation, that a multi-level caching mechanism improves both versions, and that the customized version with caching performs best. The average handling time per user session is less than 0.2 seconds for all versions except the original PLA implementation. Overall, our results demonstrate that with a reasonable number of networked hosts in a cloud computing environment, an internationally operating website can use our dynamic PLA-based user modeling approach to personalize their user services, and at the same time respect the individual privacy desires of their users as well as the privacy norms that may apply.

© All rights reserved Wang and Kobsa and/or their publisher

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Nguyen, David H., Kobsa, Alfred and Hayes, Gillian R. (2008): An empirical investigation of concerns of everyday tracking and recording technologies. In: Youn, Hee Yong and Cho, We-Duke (eds.) UbiComp 2008 Ubiquitous Computing - 10th International Conference September 21-24, 2008, Seoul, Korea. pp. 182-191.

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Vigo, Markel, Kobsa, Alfred, Arrue, Myriam and Abascal, Julio (2007): User-tailored web accessibility evaluations. In: Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia 2007. pp. 95-104.

This paper presents a framework and system to evaluate the accessibility of web pages according to the individual requirements of users with disabilities. These requirements not only consist of users' abilities, but also users' assistive technologies and the delivery context. In order to ascertain interoperability with other software components, user requirements are specified taking advantage of the extensibility of the W3C CC/PP recommendation and other feature-specification vocabularies. An evaluation tool capable of understanding these specifications generates evaluation reports that are tailored to the user's individual needs. Quantitative accessibility measures resulting from personalized evaluation reports can be used to improve the web browsing experience for users with disabilities, such as through adaptive navigation support and by sorting the results of search engines according to users' personal requirements. In addition, developers benefit from personalized evaluations when developing websites for specific audiences.

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

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Wang, Yang and Kobsa, Alfred (2007): Respecting Users' Individual Privacy Constraints in Web Personalization. In: Conati, Cristina, McCoy, Kathleen F. and Paliouras, Georgios (eds.) User Modeling 2007 - 11th International Conference - UM 2007 June 25-29, 2007, Corfu, Greece. pp. 157-166.

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Kobsa, Alfred (2007): Privacy-enhanced personalization. In Communications of the ACM, 50 (8) pp. 24-33.

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Patil, Sameer and Kobsa, Alfred (2005): Uncovering privacy attitudes and practices in instant messaging. In: GROUP05: International Conference on Supporting Group Work November 6-9, 2005, Sanibel Island, Florida, USA. pp. 109-112.

We present an analysis of privacy attitudes and practices in Instant Messaging based on responses to an online questionnaire. On a 7-point Likert scale, the reported concern about IM privacy spanned the whole range, with the average being slightly below \"medium\". Respondents\' justifications for privacy concerns revealed that the main contributing factors were: sensitivity of content, personal disposition towards privacy, understanding of technology, and potential persistence of conversations. Expectations for various categories of contacts differed significantly. Our findings indicate that it may be useful to leverage grouping functionality for privacy management. We also propose making the underlying technology more transparent.

© All rights reserved Patil and Kobsa and/or ACM Press

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Mark, Gloria and Kobsa, Alfred (2005): The Effects of Collaboration and System Transparency on CIVE Usage: An Empirical Study and Model. In Presence: Teleoperators and Virtual Environments, 14 (1) pp. 60-80.

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Ardissono, Liliana, Kobsa, Alfred and Maybury, Mark T. (eds.) (2004): Personalized Digital Television - Targeting Programs to Individual Viewers. Springer-Verlag

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Kobsa, Alfred (2004): User Experiments with Tree Visualization Systems. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. pp. 9-16.

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Yimam-Seid, Dawit and Kobsa, Alfred (2003): Expert-Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach. In Journal of Organizational Computing and Electronic Commerce, 13 (1) pp. 1-24.

Computer systems that augment the process of finding, in an organization or worldwide, the appropriate expert for a given problem are becoming more feasible than ever as a result of the prevalence of corporate intranets and the Internet. In this article, we investigate such systems in 2 parts. First, we explore the expert-finding problem in depth, review and analyze existing systems in this domain, and suggest a domain model that can serve as a framework for design and development decisions. Second, on the basis of our analyses of the problem and solution spaces, we bring to light the gaps that remain to be addressed. Finally, after this two-part investigation, we present our approach, called DEMOIR (dynamic expertise modeling from organizational information resources), which is a modular architecture for expert-finding systems that is based on a centralized expertise-modeling server but also incorporates decentralized components for expertise information gathering and exploitation.

© All rights reserved Yimam-Seid and Kobsa and/or Lawrence Erlbaum Associates

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Kobsa, Alfred and Fink, Josef (2003): Performance Evaluation of User Modeling Servers under Real-World Workload Conditions. In: Brusilovsky, Peter, Corbett, Albert T. and Rosis, Fiorella De (eds.) User Modeling 2003 - 9th International Conference - UM 2003 June 22-26, 2003, Johnstown, PA, USA. pp. 143-153.

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Grinstein, Georges G., Kobsa, Alfred, Plaisant, Catherine, Shneiderman, Ben and Stasko, John T. (2003): Which Comes First, Utility or Usability?. In: Turk, Greg, Wijk, Jarke J. van and II, Robert J. Moorhead (eds.) 14th IEEE Visualization 2003 Conference VIS 2003 19-24 October, 2003, Seattle, WA, USA. pp. 605-606.

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Gonzalez, Victor M. and Kobsa, Alfred (2003): Benefits of Information Visualization Systems for Administrative Data Analysts. In: Banissi, Ebad, Borner, Katy, Chen, Chaomei, Clapworthy, Gordon, Maple, Carsten, Lobben, Amy, Moore, Christopher J., Roberts, Jonathan C., Ursyn, Anna and Zhang, Jian (eds.) IV 2003 - Seventh International Conference on Information Visualization 16-18 July, 2003, London, UK. pp. 331-337.

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Mark, Gloria, Carpenter, Keri and Kobsa, Alfred (2003): A Model of Synchronous Collaborative Information Visualization. In: Banissi, Ebad, Borner, Katy, Chen, Chaomei, Clapworthy, Gordon, Maple, Carsten, Lobben, Amy, Moore, Christopher J., Roberts, Jonathan C., Ursyn, Anna and Zhang, Jian (eds.) IV 2003 - Seventh International Conference on Information Visualization 16-18 July, 2003, London, UK. pp. 373-383.

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Kobsa, Alfred and Schreck, Jorg (2003): Privacy through pseudonymity in user-adaptive systems. In ACM Trans. Internet Techn., 3 (2) pp. 149-183.

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Kupper, Detlef and Kobsa, Alfred (2002): Generating and presenting user-tailored plans. In: Gil, Yolanda and Leake, David (eds.) International Conference on Intelligent User Interfaces 2002 January 13-16, 2002, San Francisco, California, USA. pp. 198-199.

The paper describes methods for generating user-tailored advice and for suitably presenting it to users, taking their capabilities and knowledge into account.

© All rights reserved Kupper and Kobsa and/or ACM Press

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Mark, Gloria, Kobsa, Alfred and Gonzalez, Victor M. (2002): Do Four Eyes See Better than Two? Collaborative Versus Individual Discovery in Data Visualization Systems. In: IV 2002 2002. pp. 249-.

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Kobsa, Alfred (2002): Personalized hypermedia and international privacy. In Communications of the ACM, 45 (5) pp. 64-67.

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Kobsa, Alfred (2001): Tailoring Privacy to Users' Needs. In: Bauer, Mathias, Gmytrasiewicz, Piotr J. and Vassileva, Julita (eds.) User Modeling 2001 - 8th International Conference - UM 2001 July 13-17, 2001, Sonthofen, Germany. pp. 303-313.

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Kpper, Detlef and Kobsa, Alfred (2001): User-Tailored Plan Presentation. In: Bauer, Mathias, Gmytrasiewicz, Piotr J. and Vassileva, Julita (eds.) User Modeling 2001 - 8th International Conference - UM 2001 July 13-17, 2001, Sonthofen, Germany. pp. 243-246.

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Kobsa, Alfred (2001): An Empirical Comparison of Three Commercial Information Visualization Systems. In: InfoVis 2001 2001. pp. 123-130.

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Bra, Paul De, Brusilovsky, Peter, Eklund, John, Hall, Wendy and Kobsa, Alfred (1999): Adaptive Hypermedia: Purpose, Methods, and Techniques. In: Hypertext 99 - Proceedings of the Tenth ACM Conference on Hypertext and Hypermedia February 21-25, 1999, Darmstadt, Germany. pp. 199-200.

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Kobsa, Alfred and Stephanidis, Constantine (eds.) Proceedings of the 5th ERCIM Workshop on User Interfaces for All November 28 - December 1, 1999, Dagstuhl, Germany.

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Kobsa, Alfred and Stephanidis, Constantine (1999): "Foreword". In: Kobsa, Alfred and Stephanidis, Constantine (eds.) Proceedings of the 5th ERCIM Workshop on User Interfaces for All November 28 - December 1, 1999, Dagstuhl, Germany. p. 1.

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Haller, Susan, McRoy, Susan and Kobsa, Alfred (eds.) (1999): Computational Models of Mixed-Initiative Interaction. Kluwer Academic Publishers

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Fink, Josef, Kobsa, Alfred and Nill, Andreas (1998): Adaptable and adaptive information provision for all users, including disabled and elderly people. In New Review of Hypermedia and Multimedia, 4 pp. 163-188.

Due to the rapidly increasing popularity of the World-Wide Web, hypermedia is going to be the leading online information medium for some years to come and will likely become the standard gateway for citizens to the "information highway". Today, visitors of web sites are generally heterogeneous and have different needs, and this is likely to increase in the future. The aim of the AVANTI project is to cater hypermedia information to these individual needs by adapting the content and the presentation of web pages to each individual user. The special needs of elderly and disabled users are also partly considered. A model of the characteristics of user groups, individual users and usage environments, and a domain model are exploited in the adaptation process. One aim of this research is to verify that adaptation and user modeling techniques that were hithero mostly used for catering interactive software systems to able-bodied users also prove useful for adaptation to users with special needs. Another original aspect is the development of a network-wide user modeling server that can concurrently accommodate the user modeling needs of several applications and several instances of an application within a distributed computing environment.

© All rights reserved Fink et al. and/or Taylor and Francis

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Brusilovsky, Peter, Kobsa, Alfred and Vassileva, Julita (eds.) (1998): Adaptive Hypertext and Hypermedia. Kluwer Academic Publishers

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Allgayer, Jurgen, Harbusch, Karin, Kobsa, Alfred, Reddig, Carola, Reithinger, Norbert and Schmauks, Dagmar (1989): XTRA: A Natural-Language Access System to Expert Systems. In International Journal of Man-Machine Studies, 31 (2) pp. 161-195.

The XTRA access system to expert systems is presented which is aimed at rendering the interaction with expert systems easier for inexperienced users. XTRA communicates with the user in a natural language (German), extracts data relevant to the expert system from his/her natural-language input, answers user queries as to terminology and provides user-accommodated natural-language verbalizations of results and explanations provided by the expert system. A number of novel artificial intelligence techniques have been employed in the development of the system, including the combination of natural-language user input and user gestures on the terminal screen, referent identification with the aid of four different knowledge sources, simultaneous communication of the access system with the user and the expert system, fusion of two complementary knowledge bases into a single one, and the design of a natural-language generation component which allows for a controlled interaction between the "what-to-say" and the "how-to-say" parts to yield a more natural output. XTRA is being developed independently of any specific expert system. In its first application the access to an expert system in the income tax domain is being realized.

© All rights reserved Allgayer et al. and/or Academic Press

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