(M)ad to See Me?

Author:

Nguyen Ngoc Thi1,Zuniga Agustin2,Lee Hyowon3,Hui Pan4,Flores Huber5,Nurmi Petteri2

Affiliation:

1. Information Systems Technology and Design, Singapore University of Technology and Design, Singapore, Singapore

2. Department of Computer Science, University of Helsinki, Helsinki, Finland

3. Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland

4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong, Department of Computer Science, University of Helsinki, Helsinki, Finland

5. Institute of Computer Science, University of Tartu, Tartu, Estonia

Abstract

Advertising is an unavoidable albeit a frustrating part of mobile interactions. Due to limited form factor, mobile advertisements often resort to intrusive strategies where they temporarily block the user's view in an attempt to increase effectiveness by forcing the user's attention. While such strategies contribute to advertising awareness and effectiveness, they do so at the cost of degrading the user's overall experience and can lead to frustration and annoyance. In this paper, we contribute by developing Perceptive Ads as an intelligent advertisement placement strategy that minimizes disruptions caused by ads while preserving their effectiveness. Our work is the first to simultaneously consider the needs of users, app developers, and advertisers. Ensuring the needs of all stakeholders are taken into account is essential for the adoption of advertising strategies as users (and indirectly developers) would reject strategies that are disruptive but effective, while advertisers would reject strategies that are non-disruptive but inefficient. We demonstrate the effectiveness of our technique through a user study with N = 16 participants and two representative examples of mobile apps that commonly integrate advertisements: a game and a news app. Results from the study demonstrate that our approach improves perception towards advertisements by 43.75% without affecting application interactivity while at the same time increasing advertisement effectiveness by 37.5% compared to a state-of-the-art baseline.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader Users;Journal of Imaging;2023-11-06

2. Poster: What Can Review with Security Concern Tell Us before Installing Apps?;Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing;2022-09-11

3. Tolerance-Oriented Wi-Fi Advertisement Scheduling: A Near Optimal Study on Accumulative User Interests;Mobile Networks and Applications;2021-12-08

4. AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media;Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems;2021-05-06

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