Personalized privacy assistants (PPAs) communicate privacy-related decisions of their users to Internet of Things (IoT) devices. There are different ways to implement PPAs by varying the degree of autonomy or decision model. This paper investigates user perceptions of PPA autonomy models and privacy profiles - archetypes of individual privacy needs - as a basis for PPA decisions in private environments (e.g., a friend's home). We first explore how privacy profiles can be assigned to users and propose an assignment method. Next, we investigate user perceptions in 18 usage scenarios with varying contexts, data types and number of decisions in a study with 1126 participants. We found considerable differences between the profiles in settings with few decisions. If the number of decisions gets high (> 1/h), participants exclusively preferred fully autonomous PPAs. Finally, we discuss implications and recommendations for designing scalable PPAs that serve as privacy interfaces for future IoT devices.
doi.org/10.1145/3613904.3642591
Smart water systems, in which optimization algorithms autonomously control water infrastructure, are widely touted as a promising solution to urban water management and sanitation problems. Presently, however, adoption remains low. Even as automation and ubiquitous computing expand into consumer and civic applications, the operation of water infrastructure around the world remains stubbornly manual. We examine the barriers to adoption of smart water systems through a user study of control room operators managing a large urban sewer in Detroit, Michigan, USA. We find that limited operator trust, system complexity, high uncertainty in critical data sources, and structural barriers to regional cooperation are impeding smart technology adoption. In response, we introduce SewerTycoon, an interactive, model-based simulation tool, which we use as a scenario-based prototype. Discussion with operators on how the use of smart technologies can be expanded in the sewer system reveals opportunities for low risk testing of new technologies.
doi.org/10.1145/3613904.3642467
Tagnoo is a computational plywood augmented with RFID tags, aimed at empowering woodworkers to effortlessly create room-scale smart environments. Unlike existing solutions, Tagnoo does not necessitate technical expertise or disrupt established woodworking routines. This battery-free and cost-effective solution seamlessly integrates computation capabilities into plywood, while preserving its original appearance and functionality. In this paper, we explore various parameters that can influence Tagnoo's sensing performance and woodworking compatibility through a series of experiments. Additionally, we demonstrate the construction of a small office environment, comprising a desk, chair, shelf, and floor, all crafted by an experienced woodworker using conventional tools such as a table saw and screws while adhering to established construction workflows. Our evaluation confirms that the smart environment can accurately recognize 18 daily objects and user activities, such as a user sitting on the floor or a glass lunchbox placed on the desk, with over 90% accuracy.
doi.org/10.1145/3613904.3642356
Recent HCI research has highlighted home automation's potential in providing residents with technology-enhanced domestic autonomy. However, in the cohabitation context, the prevalent solutionist paradigm of automated systems introduces challenges to non-experts, paradoxically marginalizing specific members. This paper reports a co-creation initiative involving cohabitants, exploring a new understanding of empowerment in home automation. Participants collaborated to construct Trigger-Action Program (TAP) schemes using card-based tools during workshops. Our findings showcase how cohabitants engaged in collective ideations and embodied different negotiation patterns, which reveals the significance of more perceptible and participatory design. We frame home automation as "problematic co-design", arguing the universal overlook of collaborative resources. Furthermore, we examine how automation systems act as obstacles and sources of empowerment through the co-design lens. The paper concludes with pragmatic recommendations for designers and researchers, emphasizing the need to foster contestability for cohabitants in the evolving home automation landscape.
doi.org/10.1145/3613904.3642866
Login notifications intend to inform users about sign-ins and help them protect their accounts from unauthorized access. Notifications are usually sent if a login deviates from previous ones, potentially indicating malicious activity. They contain information like the location, date, time, and device used to sign in. Users are challenged to verify whether they recognize the login (because it was them or someone they know) or to protect their account from unwanted access. In a user study, we explore users' comprehension, reactions, and expectations of login notifications. We utilize two treatments to measure users' behavior in response to notifications sent for a login they initiated or based on a malicious actor relying on statistical sign-in information. We find that users identify legitimate logins but need more support to halt malicious sign-ins. We discuss the identified problems and give recommendations for service providers to ensure usable and secure logins for everyone.
doi.org/10.1145/3613904.3642823