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- posterJune 2024
Circles of Trust: A Voice-Based Authorization Scheme for Securing IoT Smart Homes
SACMAT 2024: Proceedings of the 29th ACM Symposium on Access Control Models and TechnologiesJune 2024, Pages 193–195https://doi.org/10.1145/3649158.3657044Smart homes, powered by a plethora of Internet of Things (IoT) devices, such as smart thermostats, lights, and TVs, have gained immense popularity due to their simple voice command control, making them user-friendly for homeowners and their families. ...
- surveyNovember 2023
A Survey on Conflict Detection in IoT-based Smart Homes
ACM Computing Surveys (CSUR), Volume 56, Issue 5Article No.: 122, Pages 1–40https://doi.org/10.1145/3629517As the adoption of IoT-based smart homes continues to grow, the importance of addressing potential conflicts becomes increasingly vital for ensuring seamless functionality and user satisfaction. In this survey, we introduce a novel conflict taxonomy, ...
- research-articleOctober 2023
"You Shouldn't Need to Share Your Data": Perceived Privacy Risks and Mitigation Strategies Among Privacy-Conscious Smart Home Power Users
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue CSCW2Article No.: 247, Pages 1–34https://doi.org/10.1145/3610038Fueled by Internet-of-Things technologies and spanning a wide range of sensors, speakers, and cameras, smart homes promise to make our lives easier and automate routine tasks. From speakers to security cameras, smart home devices (SHDs) answer our ...
- research-articleNovember 2023
Towards Panopticons of Convenience: Power in the Nordic Smart Home Assemblage
Mindtrek '23: Proceedings of the 26th International Academic Mindtrek ConferenceOctober 2023, Pages 257–266https://doi.org/10.1145/3616961.3616962The introduction of smart home technologies shifts the social relationships in the home by replacing parts of the home assemblage with digital components. This article makes two contributions, first it analyses the influence of panopticons of ...
- research-articleOctober 2023
Modeling Human Frailty with a Smart Home-Based Approximation of Entropy
BCB '23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsSeptember 2023, Article No.: 40, Pages 1–6https://doi.org/10.1145/3584371.3613017The global population is aging. These older adults face changes in health that result in increasing frailty. Digital biomarkers created by passive, continuous sensors offer an early indicator of impending frailty that can be used to delay or reverse ...
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- short-paperMay 2023
Security Analysis of Access Control Policies for Smart Homes
SACMAT '23: Proceedings of the 28th ACM Symposium on Access Control Models and TechnologiesMay 2023, Pages 99–106https://doi.org/10.1145/3589608.3593842Ensuring security is crucial in smart home settings, where only authorized users should have access to home devices. Over the past decade, researchers have focused on developing access control policies and evaluating their efficacy in preventing ...
- research-articleMay 2023
Niffler: Real-time Device-level Anomalies Detection in Smart Home
ACM Transactions on the Web (TWEB), Volume 17, Issue 3Article No.: 16, Pages 1–27https://doi.org/10.1145/3586073Device-level security has become a major concern in smart home systems. Detecting problems in smart home sytems strives to increase accuracy in near real time without hampering the regular tasks of the smart home. The current state of the art in detecting ...
- research-articleApril 2023
Home Is Where the Smart Is: Development and Validation of the Cybersecurity Self-Efficacy in Smart Homes (CySESH) Scale
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 507, Pages 1–15https://doi.org/10.1145/3544548.3580860The ubiquity of devices connected to the internet raises concerns about the security and privacy of smart homes. The effectiveness of interventions to support secure user behaviors is limited by a lack of validated instruments to measure relevant ...
- research-articleApril 2023
Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms
- Rachel Eardley,
- Emma L. Tonkin,
- Ewan Soubutts,
- Amid Ayobi,
- Gregory J. L. Tourte,
- Rachael Gooberman-Hill,
- Ian Craddock,
- Aisling Ann O'Kane
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue CSCW1Article No.: 49, Pages 1–25https://doi.org/10.1145/3579482Explaining health technology platforms to non-technical members of the public is an important part of the process of informed consent. Complex technology platforms that deal with safety-critical areas are particularly challenging, often operating within ...
- research-articleJune 2023
Towards Deployment of Mobile Robot driven Preference Learning for User-State-Specific Thermal Control in A Real-World Smart Space
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied ComputingMarch 2023, Pages 724–731https://doi.org/10.1145/3555776.3577760Indoor Environment Quality (IEQ) is one of the most important goals for smart spaces. Thermal comfort is typically considered the most emphasized factor in IEQ that depends on personalized thermal preference. In this paper, we explore technical ...
- research-articleJune 2023
Transformer based Early Classification for Real-time Human Activity Recognition in Smart Homes
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied ComputingMarch 2023, Pages 410–417https://doi.org/10.1145/3555776.3577693Human activity recognition (HAR) plays a key role in intelligent systems. Ambient sensors are utilized to avoid privacy concerns and to collect data streams in a less intrusive manner in smart homes. In scenarios requiring immediate intervention, the ...
- research-articleJanuary 2023
Daily activity monitoring system designed for elderly people using hidden Markov models based on real world datasets
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Volume 21, Issue 12023, Pages 40–55https://doi.org/10.1504/ijista.2023.130555This work describes how our abnormal behaviour detection system functions for seniors in their home. Our research is based on the data gathered by a domotic box that is available for purchase. The box was initially intended to continuously detect the ...
- research-articleDecember 2022
User Involvement in Training Smart Home Agents: Increasing Perceived Control and Understanding
- Leonie Nora Sieger,
- Julia Hermann,
- Astrid Schomäcker,
- Stefan Heindorf,
- Christian Meske,
- Celine-Chiara Hey,
- Ayşegül Doğangün
HAI '22: Proceedings of the 10th International Conference on Human-Agent InteractionDecember 2022, Pages 76–85https://doi.org/10.1145/3527188.3561914Smart home systems contain plenty of features that enhance wellbeing in everyday life through artificial intelligence (AI). However, many users feel insecure because they do not understand the AI’s functionality and do not feel they are in control of ...
- research-articleDecember 2022
Can you please cover both the "smart" and the "home"? Exploring expectations on smart homes considering changing needs
MUM '22: Proceedings of the 21st International Conference on Mobile and Ubiquitous MultimediaNovember 2022, Pages 128–137https://doi.org/10.1145/3568444.3568447The number of connected devices in-home has increased rapidly, and connected solutions in smart homes do not yet cover needs of all inhabitants. We explored future interfaces that blend seamlessly with the home interior in co-creation sessions with ...
- research-articleNovember 2022
Discovering IoT Physical Channel Vulnerabilities
CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications SecurityNovember 2022, Pages 2415–2428https://doi.org/10.1145/3548606.3560644Smart homes contain diverse sensors and actuators controlled by IoT apps that provide custom automation. Prior works showed that an adversary could exploit physical interaction vulnerabilities among apps and put the users and environment at risk, e.g., ...
- demonstrationJanuary 2023
AI Therapist for Daily Functioning Assessment and Intervention Using Smart Home Devices
- Jingping Nie,
- Minghui Zhao,
- Stephen Xia,
- Xinghua Sun,
- Hanya Shao,
- Yuang Fan,
- Matthias Preindl,
- Xiaofan Jiang
SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor SystemsNovember 2022, Pages 764–765https://doi.org/10.1145/3560905.3568074In this demonstration, in collaboration with licensed therapists, we introduce an AI therapist that takes advantage of the smart-home environment to screen day-to-day functioning and infer mental wellness of an occupant. Our system can assess a user's ...
- research-articleNovember 2022
Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction
ACM Transactions on Computing for Healthcare (HEALTH), Volume 3, Issue 4Article No.: 41, Pages 1–25https://doi.org/10.1145/3531231New modes of technology are offering unprecedented opportunities to unobtrusively collect data about people's behavior. While there are many use cases for such information, we explore its utility for predicting multiple clinical assessment scores. Because ...
- research-articleOctober 2022
Radio signal strength indication augmentation for one-shot learning in indoor localisation
SmartWear '22: Proceedings of the 1st ACM Workshop on Smart Wearable Systems and ApplicationsOctober 2022, Pages 7–12https://doi.org/10.1145/3556560.3560714Collecting annotated Radio Signal Strength Indication (RSSI) data from wearables for indoor localisation is a time consuming and laborious process. For healthcare related applications, where indoor localisation is seeing increasing use, it is often more ...
- research-articleJune 2022
Conversational AI Therapist for Daily Function Screening in Home Environments
IASA '22: Proceedings of the 1st ACM International Workshop on Intelligent Acoustic Systems and ApplicationsJuly 2022, Pages 31–36https://doi.org/10.1145/3539490.3539603The growth of smart devices is making typical homes more intelligent. In this work, in collaboration with therapists, we introduce a home-based AI therapist that takes advantage of the smart home environment to screen the day-to-day functioning and ...
- research-articleJune 2022
FortClash: Predicting and Mediating Unintended Behavior in Home Automation
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 6, Issue EICSArticle No.: 154, Pages 1–20https://doi.org/10.1145/3532204Smart home inhabitants can specify trigger-condition-action rules to control the home's behavior. As the number of rules and their complexity grow, however, so does the probability of issues such as inconsistencies and redundancies. These can lead to ...