Developing and Validating the Perceived System Curiosity Scale (PSC): Measuring Users' Perceived Curiosity of Systems
Jan Leusmann, Steeven Villa, Burak Berberoglu, Chao Wang, Sven Mayer
Abstract
Like humans, today's systems, such as robots and voice assistants, can express curiosity to learn and engage with their surroundings. While curiosity is a well-established human trait that enhances social connections and drives learning, no existing scales assess the perceived curiosity of systems. Thus, we introduce the Perceived System Curiosity (PSC) scale to determine how users perceive curious systems. We followed a standardized process of developing and validating scales, resulting in a validated 12-item scale with 3 individual sub-scales measuring explorative, investigative, and social dimensions of system curiosity. In total, we generated 831 items based on literature and recruited 414 participants for item selection and 320 additional participants for scale validation. Our results show that the PSC scale has inter-item reliability and convergent and construct validity. Thus, this scale provides an instrument to explore how perceived curiosity influences interactions with technical systems systematically.
• 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 d58003d4-68ae-44e9-990e-3f0fc764d86dCited by top-tier papers1
Ask how each one uses itBuilds on6
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- Automated Class Discovery and One-Shot Interactions for Acoustic Activity RecognitionJason Wu, Chris Harrison, Jeffrey P. Bigham, Gierad LaputCHI 2020 · 52 citations
- Perceived Empathy of Technology Scale (PETS): Measuring Empathy of Systems Toward the UserMatthias Schmidmaier, Jonathan Rupp, Darina Cvetanova, Sven MayerCHI 2024 · 45 citations
- User Perceptions of Extraversion in Chatbots after Repeated UseSarah Theres Völkel, Ramona Schödel, Lale Kaya, Sven MayerCHI 2022 · 37 citations
- Humorous Robotic Behavior as a New Approach to Mitigating Social AwkwardnessViva Sarah Press, Hadas ErelCHI 2023 · 27 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
- Creepy Technology: What Is It and How Do You Measure It?Pawel W. Wozniak, Jakob Karolus, Florian Lang, Caroline Eckerth et al.CHI 2021 · 84 citations
- Society's Attitudes Towards Human Augmentation and Performance Enhancement Technologies (SHAPE) ScaleSteeven Villa, Jasmin Niess, Albrecht Schmidt, Robin WelschUbiComp 2023 · 11 citations
- Assessing User Apprehensions About Mixed Reality Artifacts and Applications: The Mixed Reality Concerns (MRC) QuestionnaireChristopher Katins, Pawel W. Wozniak, Aodi Chen, Ihsan Tumay et al.CHI 2024 · 15 citations
- Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not MeaningJaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele QuerciaCHI 2026 · 2 citations
