Laura Brandimarte
Carnegie Mellon University
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Featured researches published by Laura Brandimarte.
Science | 2015
Alessandro Acquisti; Laura Brandimarte; George Loewenstein
This Review summarizes and draws connections between diverse streams of empirical research on privacy behavior. We use three themes to connect insights from social and behavioral sciences: people’s uncertainty about the consequences of privacy-related behaviors and their own preferences over those consequences; the context-dependence of people’s concern, or lack thereof, about privacy; and the degree to which privacy concerns are malleable—manipulable by commercial and governmental interests. Organizing our discussion by these themes, we offer observations concerning the role of public policy in the protection of privacy in the information age.
Social Psychological and Personality Science | 2013
Laura Brandimarte; Alessandro Acquisti; George Loewenstein
We test the hypothesis that increasing individuals’ perceived control over the release and access of private information—even information that allows them to be personally identified––will increase their willingness to disclose sensitive information. If their willingness to divulge increases sufficiently, such an increase in control can, paradoxically, end up leaving them more vulnerable. Our findings highlight how, if people respond in a sufficiently offsetting fashion, technologies designed to protect them can end up exacerbating the risks they face.
ACM Computing Surveys | 2017
Alessandro Acquisti; Idris Adjerid; Rebecca Balebako; Laura Brandimarte; Lorrie Faith Cranor; Saranga Komanduri; Pedro Giovanni Leon; Norman M. Sadeh; Florian Schaub; Manya Sleeper; Yang Wang; Shomir Wilson
Advancements in information technology often task users with complex and consequential privacy and security decisions. A growing body of research has investigated individuals’ choices in the presence of privacy and information security tradeoffs, the decision-making hurdles affecting those choices, and ways to mitigate such hurdles. This article provides a multi-disciplinary assessment of the literature pertaining to privacy and security decision making. It focuses on research on assisting individuals’ privacy and security choices with soft paternalistic interventions that nudge users toward more beneficial choices. The article discusses potential benefits of those interventions, highlights their shortcomings, and identifies key ethical, design, and research challenges.
Archive | 2016
Eyal Peer; Sonam Samat; Laura Brandimarte; Alessandro Acquisti
The success of Amazon Mechanical Turk (MTurk) as an online research platform has come at a price: MTurk exhibits slowing rates of population replenishment, and growing participants’ non-naivety. Recently, a number of alternative platforms have emerged, offering capabilities similar to MTurk while providing access to new and more naïve populations. We examined two such platforms, CrowdFlower (CF) and Prolific Academic (ProA). We found that both platforms’ participants were more naïve and less dishonest compared to MTurk. CF showed the best response rate, but CF participants failed more attention-check questions and did not reproduce known effects replicated on ProA and MTurk. Moreover, ProA participants produced data quality that was higher than CF’s and comparable to MTurk’s. We also found important demographic differences between the platforms. We discuss how researchers can use these findings to better plan online research, and their implications for the study of crowdsourcing research platforms.
Journal of Experimental Psychology: General | 2018
Laura Brandimarte; Joachim Vosgerau; Alessandro Acquisti
How does information about a person’s past, accessed now, affect individuals’ impressions of that person? In 2 survey experiments and 2 experiments with actual incentives, we compare whether, when evaluating a person, information about that person’s past greedy or immoral behaviors is discounted similarly to information about her past generous or moral behaviors. We find that, no matter how far in the past a person behaved greedily or immorally, information about her negative behaviors is hardly discounted at all. In contrast, information about her past positive behaviors is discounted heavily: recent behaviors are much more influential than behaviors that occurred a long time ago. The lesser discounting of information about immoral and greedy behaviors is not caused by these behaviors being more influential, memorable, extreme, or attention-grabbing; rather, they are perceived as more diagnostic of a person’s character than past moral or generous behaviors. The phenomenon of differential discounting of past information has particular relevance in the digital age, where information about people’s past is easily retrieved. Our findings have significant implications for theories of impression formation and social information processing.
Journal of Experimental Social Psychology | 2017
Eyal Peer; Laura Brandimarte; Sonam Samat; Alessandro Acquisti
symposium on usable privacy and security | 2013
Idris Adjerid; Alessandro Acquisti; Laura Brandimarte; George Loewenstein
symposium on usable privacy and security | 2014
Allison Woodruff; Vasyl Pihur; Sunny Consolvo; Lauren Schmidt; Laura Brandimarte; Alessandro Acquisti
ieee symposium on security and privacy | 2013
Alessandro Acquisti; Idris Adjerid; Laura Brandimarte
WEIS | 2010
Laura Brandimarte; Alessandro Acquisti; George Loewenstein