Unpacking creepiness: a study on smart home sensor surveillance

The paper investigates the subjective experience of creepiness in smart home devices, focussing on privacy concerns surrounding unauthorised data access, invasive personalisation, and covert surveillance. The study consisted of scenario development and validation followed by semi-structured interviews. Findings reveal how users perceive smart home interactions as increasingly intrusive, particularly in relation to the temporality of data management where non-consensual targeted advertisements based on recent activities contribute to heightened discomfort. Key findings show that perceptions of creepiness are highly individual, shaped by users' past experiences and expectations of technology. Despite recognising privacy risks, participants often prioritise the convenience these devices offer, leading to a paradox where users continue to engage with technologies that make them feel uncomfortable. We highlight the need for designers to implement hybrid privacy solutions that combine manual and automated controls to help users manage their privacy settings more effectively. By offering real-time notifications, increasing transparency in data collection practices, and making privacy controls more accessible, designers can mitigate the normalisation of perceived creepiness associated with smart home devices. This study contributes to the broader conversation on affective privacy, emphasising the emotional impact of smart home surveillance on users and providing insights for more privacy-conscious design strategies.

Authors

Institutions

Publication Details

Journal
Behaviour and Information Technology
Published
2025-12-12
DOI
https://doi.org/10.1080/0144929x.2025.2598603
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unpacking creepiness: a study on smart home sensor surveillance

Sujay Shalawadi, Florian Echtler, Dimitrios Raptis
Behaviour and Information Technology
Innovative Human-Technology Interaction
article

Unpacking creepiness: a study on smart home sensor surveillance

Sujay Shalawadi, Florian Echtler, Dimitrios Raptis
article en

Abstract

The paper investigates the subjective experience of creepiness in smart home devices, focussing on privacy concerns surrounding unauthorised data access, invasive personalisation, and covert surveillance. The study consisted of scenario development and validation followed by semi-structured interviews. Findings reveal how users perceive smart home interactions as increasingly intrusive, particularly in relation to the temporality of data management where non-consensual targeted advertisements based on recent activities contribute to heightened discomfort. Key findings show that perceptions of creepiness are highly individual, shaped by users' past experiences and expectations of technology. Despite recognising privacy risks, participants often prioritise the convenience these devices offer, leading to a paradox where users continue to engage with technologies that make them feel uncomfortable. We highlight the need for designers to implement hybrid privacy solutions that combine manual and automated controls to help users manage their privacy settings more effectively. By offering real-time notifications, increasing transparency in data collection practices, and making privacy controls more accessible, designers can mitigate the normalisation of perceived creepiness associated with smart home devices. This study contributes to the broader conversation on affective privacy, emphasising the emotional impact of smart home surveillance on users and providing insights for more privacy-conscious design strategies.

Behaviour and Information Technology
Norwegian University of Science and Technology (NO), Aalborg University (DK)
Georgia Institute of Technology
Openalex Percentile: Top 58%
Innovative Human-Technology Interaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.