Conference proceeding
Still Creepy After All These Years:The Normalization of Affective Discomfort in App Use
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 159
27 Apr 2022
Abstract
It is not well understood why people continue to use privacy-invasive apps they consider creepy. We conducted a scenario-based study (n = 751) to investigate how the intention to use an app is influenced by affective perceptions and privacy concerns. We show that creepiness is one facet of affective discomfort, which is becoming normalized in app use. We found that affective discomfort can be negatively associated with the intention to use a privacy-invasive app. However, the influence is mitigated by other factors, including data literacy, views regarding app data practices, and ambiguity of the privacy threat. Our findings motivate a focus on affective discomfort when designing user experiences related to privacy-invasive data practices. Treating affective discomfort as a fundamental aspect of user experience requires scaling beyond the point where the thumb meets the screen and accounting for entrenched data practices and the sociotechnical landscape within which the practices are embedded.
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Details
- Title
- Still Creepy After All These Years:The Normalization of Affective Discomfort in App Use
- Creators
- John S. Seberger - Michigan State UniversityIrina Shklovski - University of CopenhagenEmily Swiatek - Indiana University BloomingtonSameer Patil - University of UtahACM
- Contributors
- Simone Barbosa (Editor) - Pontifical Catholic University of Rio de JaneiroCliff Lampe (Editor) - University of Michigan, USACaroline Appert (Editor) - Université Paris-Saclay, FranceDavid A. Shamma (Editor) - Toyota Research Institute, USASteven Drucker (Editor) - Microsoft Research, USAJulie Williamson (Editor) - University of GlasgowKoji Yatani (Editor) - The University of Tokyo
- Publication Details
- Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 159
- Conference
- CHI '22: CHI Conference on Human Factors in Computing Systems (2022)
- Series
- ACM Conferences
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000890212504054
- Scopus ID
- 2-s2.0-85130585911
- Other Identifier
- 991021861816804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Robotics