Towards Understanding the Dark Patterns That Steal Our Attention

被引:22
作者
Roffarello, Alberto Monge [1 ]
De Russis, Luigi [1 ]
机构
[1] Politecn Torino, Turin, TO, Italy
来源
EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022 | 2022年
关键词
digital wellbeing; dark patterns; technology overuse; FACEBOOK USE; USAGE;
D O I
10.1145/3491101.3519829
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Contemporary digital services often adopt mechanisms, e.g., recommendations and infinite scrolling, that exploit users' psychological vulnerabilities to maximize time spent and daily visits. While these attention-capture dark patterns might contribute to technology overuse and problematic behaviors, they are relatively underexplored in the literature. In this paper, we first provide a definition of what are attention-capture dark patterns based on a review of recent works on digital wellbeing and dark patterns. Then, we describe a set 5 of attention-capture dark patterns extracted from a 1-week-long auto-ethnography during which we self-monitored our mobile and web interactions with Facebook and YouTube. Finally, we report on an initial study (N = 7) that explores whether and how a widespread mechanism, i.e., social investment, influence usage and users' perception of the Facebook website. We discuss the implications that our work may have on the design of technologies that better align with users' digital wellbeing.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] What Can CHI Do About Dark Patterns?
    Lukoff, Kai
    Hiniker, Alexis
    Gray, Colin M.
    Mathur, Arunesh
    Chivukula, Shruthi Sai
    EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21), 2021,
  • [22] From Dark Patterns to Fair Patterns? Usable Taxonomy to Contribute Solving the Issue with Countermeasures
    Potel-Saville, Marie
    Da Rocha, Mathilde
    PRIVACY TECHNOLOGIES AND POLICY, APF 2023, 2024, 13888 : 145 - 165
  • [23] Lecture capture in pharmacy education at UBC: Updating our understanding
    Albon, Simon P.
    Larson, Kane
    Marchand, Jon-Paul
    CURRENTS IN PHARMACY TEACHING AND LEARNING, 2020, 12 (09) : 1037 - 1045
  • [24] (Don't) Join the Dark Side An Initial Analysis and Classification of Regular, Anti-, and Dark Patterns
    Mirnig, Alexander G.
    Tscheligi, Manfred
    NINTH INTERNATIONAL CONFERENCES ON PERVASIVE PATTERNS AND APPLICATIONS (PATTERNS 2017), 2017, : 65 - 71
  • [25] Investigating Visual Countermeasures Against Dark Patterns in User Interfaces
    Schaefer, Rene
    Preuschoff, Paul
    Borchers, Jan
    PROCEEDINGS OF 2023 MENSCH UND COMPUTER, MUC 2023: Building Bridges, 2023, : 161 - 172
  • [26] Conceptualizations of user autonomy within the normative evaluation of dark patterns
    Ahuja, Sanju
    Kumar, Jyoti
    ETHICS AND INFORMATION TECHNOLOGY, 2022, 24 (04)
  • [27] Ethical User Interfaces: Exploring the Effects of Dark Patterns on Facebook
    Mildner, Thomas
    Savino, Gian-Luca
    EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21), 2021,
  • [28] Conceptualizations of user autonomy within the normative evaluation of dark patterns
    Sanju Ahuja
    Jyoti Kumar
    Ethics and Information Technology, 2022, 24
  • [29] Clusters of Dark Patterns Across Popular Websites in New Zealand
    Lacey, Cherie
    Beattie, Alex
    Sparks, Tristam
    INTERNATIONAL JOURNAL OF COMMUNICATION, 2023, 17 : 3164 - 3188
  • [30] A Comparative Study of Dark Patterns across Web and Mobile Modalities
    Gunawan J.
    Pradeep A.
    Choffnes D.
    Hartzog W.
    Wilson C.
    Proceedings of the ACM on Human-Computer Interaction, 2021, 5 (CSCW2)