Creepy Technology: What Is It and How Do You Measure It?
Pawel W. Wozniak, Jakob Karolus, Florian Lang, Caroline Eckerth, Johannes Schöning, Yvonne Rogers, Jasmin Niess
Abstract
Interactive technologies are getting closer to our bodies and permeate the infrastructure of our homes. While such technologies offer many benefits, they can also cause an initial feeling of unease in users. It is important for Human-Computer Interaction to manage first impressions and avoid designing technologies that appear creepy. To that end, we developed the Perceived Creepiness of Technology Scale (PCTS), which measures how creepy a technology appears to a user in an initial encounter with a new artefact. The scale was developed based on past work on creepiness and a set of ten focus groups conducted with users from diverse backgrounds. We followed a structured process of analytically developing and validating the scale. The PCTS is designed to enable designers and researchers to quickly compare interactive technologies and ensure that they do not design technologies that produce initial feelings of creepiness in users.
• Human-centered computing → HCI design and evaluation methods.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext e5327211-4aa7-475e-a78b-18ddbab0fd65Cited by top-tier papers16
- Still Creepy After All These Years: The Normalization of Affective Discomfort in App UseJohn S. Seberger, Irina Shklovski, Emily Swiatek, Sameer PatilCHI 2022 · 75 citations
- Do You Mind? User Perceptions of Machine ConsciousnessAva Elizabeth Scott, Daniel Peter Neumann, Jasmin Niess, Pawel W. WozniakCHI 2023 · 44 citations
- There Is No First- or Third-Person View in Virtual Reality: Understanding the Perspective ContinuumMatthias Hoppe, Andrea Baumann, Patrick Chofor Tamunjoh, Tonja-Katrin Machulla et al.CHI 2022 · 37 citations
- "This Chatbot Would Never...": Perceived Moral Agency of Mental Health ChatbotsJoel Wester, Henning Pohl, Simo Hosio, Niels van BerkelCSCW 2024 · 37 citations
- Mirror to Companion: Exploring Roles, Values, and Risks of AI Self-Clones through Story CompletionJessica Huang, Ig-Jae Kim, Dongwook YoonCHI 2025 · 21 citations
Builds on4
- Social Acceptability in HCI: A Survey of Methods, Measures, and Design StrategiesMarion Koelle, Swamy Ananthanarayan, Susanne BollCHI 2020 · 174 citations
- ARMath: Augmenting Everyday Life with Math LearningSeokbin Kang, Ekta Shokeen, Virginia L. Byrne, Leyla Norooz et al.CHI 2020 · 64 citations
- Experiential Qualities of Whispering with Voice AssistantsEmmi Parviainen, Marie Louise Juul SøndergaardCHI 2020 · 52 citations
- Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private InformationJulia Hanson, Miranda Wei, Sophie Veys, Matthew Kugler et al.CHI 2020 · 25 citations
Related papers
- Creepy Assistant: Development and Validation of a Scale to Measure the Perceived Creepiness of Voice AssistantsRachel Phinnemore, Mohi Reza, Blaine Lewis, Karthik Mahadevan et al.CHI 2023 · 17 citations
- Perceived Empathy of Technology Scale (PETS): Measuring Empathy of Systems Toward the UserMatthias Schmidmaier, Jonathan Rupp, Darina Cvetanova, Sven MayerCHI 2024 · 45 citations
- The Nuances of Creepiness: A Systematic Literature Review of Creepy TechnologyTora Jarsve, Barbara Sienkiewicz, Meagan B. Loerakker, Pawel W. Wozniak et al.CHI 2026 · 4 citations
- Developing and Validating the Perceived System Curiosity Scale (PSC): Measuring Users' Perceived Curiosity of SystemsJan Leusmann, Steeven Villa, Burak Berberoglu, Chao Wang et al.CHI 2025 · 9 citations
- How Much Trust is Enough? Towards Calibrating Trust in TechnologyGabriela Beltrão, Debora C. Firmino De Souza, Sonia C. Sousa, David LamasCHI 2026 · 2 citations
