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Paul Hankes Drielsma

dblp:32/3895 · DBLP profile ↗
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7ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 5Security and privacy · 3Theory of computation · 2 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 71% Ubiquitous computing and smart environments · 22% Usability and user experience research · 7%
Network and information security
2 papers
Privacy and data protection · 67% Cryptographic protocols and secure computation · 33%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › social media › social network sites
mobile social networking
0.112010
Empirical models of privacy in location sharing · UbiComp 2010
Privacy and data protection
location privacy
0.112010
Empirical models of privacy in location sharing · UbiComp 2010
Collaborative and social computing › user-generated content
location sharing
0.112009
Who's viewed you?: the impact of feedback in a mobile location-sharing application · CHI 2009
Ubiquitous computing and smart environments › privacy
privacy feedback
0.112009
Who's viewed you?: the impact of feedback in a mobile location-sharing application · CHI 2009
Collaborative and social computing › social media
social network sites
0.112009
Who's viewed you?: the impact of feedback in a mobile location-sharing application · CHI 2009
Cryptographic protocols and secure computation
internet security protocols
0.112005
The AVISPA Tool for the Automated Validation of Internet Security Protocols and Applications · CAV 2005

Methods — techniques the papers use, named apart from their topics

field study · 0.2empirical modeling · 0.2user study · 0.1field deployment · 0.1
YearPublicationVenuePosition
2010 Empirical models of privacy in location sharing
abstract
The rapid adoption of location tracking and mobile social networking technologies raises significant privacy challenges. Today our understanding of people's location sharing privacy preferences remains very limited, including how these preferences are impacted by the type of location tracking device or the nature of the locations visited. To address this gap, we deployed Locaccino, a mobile location sharing system, in a four week long field study, where we examined the behavior of study participants (n=28) who shared their location with their acquaintances (n=373.) Our results show that users appear more comfortable sharing their presence at locations visited by a large and diverse set of people. Our study also indicates that people who visit a wider number of places tend to also be the subject of a greater number of requests for their locations. Over time these same people tend to also evolve more sophisticated privacy preferences, reflected by an increase in time- and location-based restrictions. We conclude by discussing the implications our findings.
Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, Janice Y. Tsai, Patrick Gage Kelley, James Springfield, Lorrie Faith Cranor, Jason I. Hong, Norman M. Sadeh
UbiComp3
2009 Who's viewed you?: the impact of feedback in a mobile location-sharing application
abstract
Feedback is viewed as an essential element of ubiquitous computing systems in the HCI literature for helping people manage their privacy. However, the success of online social networks and existing commercial systems for mobile location sharing which do not incorporate feedback would seem to call the importance of feedback into question. We investigated this issue in the context of a mobile location sharing system. Specifically, we report on the findings of a field de-ployment of Locyoution, a mobile location sharing system. In our study of 56 users, one group was given feedback in the form of a history of location requests, and a second group was given no feedback at all. Our major contribution has been to show that feedback is an important contributing factor towards improving user comfort levels and allaying privacy concerns. Participants' privacy concerns were reduced after using the mobile location sharing system. Additionally,our study suggests that peer opinion and technical savviness contribute most to whether or not participants thought they would continue to use a mobile location technology.
Janice Y. Tsai, Patrick Gage Kelley, Paul Hankes Drielsma, Lorrie Faith Cranor, Jason I. Hong, Norman M. Sadeh
CHI3
2009 The impact of expressiveness on the effectiveness of privacy mechanisms for location-sharing
abstract
No abstract available.
Michael Benisch, Patrick Gage Kelley, Norman M. Sadeh, Tuomas Sandholm, Janice Y. Tsai, Lorrie Faith Cranor, Paul Hankes Drielsma
SOUPS7
2009 Analyzing use of privacy policy attributes in a location sharing application
abstract
No abstract available.
Eran Toch, Ramprasad Ravichandran, Lorrie Faith Cranor, Paul Hankes Drielsma, Jason I. Hong, Patrick Gage Kelley, Norman M. Sadeh, Janice Y. Tsai
SOUPS4
2009 Who's viewed you?: the impact of feedback in a mobile location-sharing application
abstract
Feedback is viewed as an essential element of ubiquitous computing systems in the HCI literature for helping people manage their privacy. However, the success of online social networks and existing commercial systems for mobile location sharing which do not incorporate feedback would seem to call the importance of feedback into question. We investigated this issue in the context of a mobile location sharing system. Specifically, we report on the findings of a field de-ployment of Locyoution, a mobile location sharing system. In our study of 56 users, one group was given feedback in the form of a history of location requests, and a second group was given no feedback at all. Our major contribution has been to show that feedback is an important contributing factor towards improving user comfort levels and allaying privacy concerns. Participants' privacy concerns were reduced after using the mobile location sharing system. Additionally,our study suggests that peer opinion and technical savviness contribute most to whether or not participants thought they would continue to use a mobile location technology.
Janice Y. Tsai, Patrick Gage Kelley, Paul Hankes Drielsma, Lorrie Faith Cranor, Jason I. Hong, Norman M. Sadeh
SOUPS3
2005 The AVISPA Tool for the Automated Validation of Internet Security Protocols and Applications
Alessandro Armando, David A. Basin, Yohan Boichut, Yannick Chevalier, Luca Compagna, Jorge Cuéllar, Paul Hankes Drielsma, Pierre-Cyrille Héam, Olga Kouchnarenko, Jacopo Mantovani, Sebastian Mödersheim, David von Oheimb, Michaël Rusinowitch, Judson Santiago, Mathieu Turuani, Luca Viganò 0001, Laurent Vigneron
CAV7
2004 A Formalization of Off-Line Guessing for Security Protocol Analysis
Paul Hankes Drielsma, Sebastian Mödersheim, Luca Viganò 0001
LPAR1