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Too close for comfort: A study of the effectiveness and acceptability of rich-media personalized advertising

Malheiros, M; Jennett, C; Patel, S; Brostoff, S; Sasse, MA; (2012) Too close for comfort: A study of the effectiveness and acceptability of rich-media personalized advertising. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (pp. 579 - 588). Association for Computer Machinery Green open access

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Abstract

Online display advertising is predicted to make $29.53 billion this year. Advertisers believe targeted and personalized ads to be more effective, but many users are concerned about their privacy. We conducted a study where 30 participants completed a simulated holiday booking task; each page showing ads with different degrees of personalization. Participants fixated twice as long when ads contained their photo. Participants reported being more likely to notice ads with their photo, holiday destination, and name, but also increasing levels of discomfort with increasing personalization. We conclude that greater personalization in ad content may achieve higher levels of attention, but that the most personalized ads are also the least acceptable. The noticeability benefit in using someone‟s photo to make them look at an ad may be offset by the privacy cost. As more personal data becomes available to advertisers, it becomes important that these trade-offs are considered.

Type: Proceedings paper
Title: Too close for comfort: A study of the effectiveness and acceptability of rich-media personalized advertising
Event: Conference on Human Factors in Computing Systems
ISBN-13: 9781450310154
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2207676.2207758
Publisher version: http://dx.doi.org/10.1145/2207676.2207758
Language: English
Additional information: "© ACM 2012. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, http://dx.doi.org/10.1145/10.1145/2517881.2517893."
URI: http://discovery.ucl.ac.uk/id/eprint/1349989
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