Voice-first ambient interfaces (VFAIs), such as Alexa, can uniquely meet the health needs of older adults. However, inequitable technology may worsen health disparities and decrease independence, calling for participatory methods to increase the agency ...

Deakin Breathes Data (DBD) rethought and rethreaded radio surveillance on a university campus into a material, fibrous aesthetic. We used university-captured Wi-Fi data to present how shared knowledge threads the modern university experience. Laser cut ...

Monitoring a specific set of locations serves multiple purposes, such as infrastructure inspection and safety surveillance. We study a generalization of the surveillance problem, where the monitoring area, represented by a graph, is divided and assigned ...

As independently-contracted employees, gig workers disproportionately suffer the consequences of workplace surveillance, which include increased pressures to work, breaches of privacy, and decreased digital autonomy. Despite the negative impacts of ...

Client-Side Scanning (CSS) is discussed as a potential solution to contain the dissemination of child sexual abuse material (CSAM). A significant challenge associated with this debate is that stakeholders have different interpretations of the ...

This mixed method study situated in Ontario, Canada, investigates how migrant farmworkers’ experiences with agricultural technologies (agtech) affect their attitudes, conditions, and expectations of work, and how workers envision technologies serving as ...

The sex workers in the Global South represent a significant portion of the world sex industry. However, when compared to the relevant HCI literature on sex work and computing, there exists a noticeable gap in comprehending the experiences and ...

Human action recognition from video is an important task with multiple challenges like cluttered background, luminance, occlusions, etc. Availability of depth sensor like Kinect makes the action recognition task a bit easy but it brings new challenges in ...

The synergy of Edge Computing, Artificial Intelligence, and Internet of Things in smart city camera-based surveillance offers notable advantages in resource allocation. Traditional approaches involving constant video data streaming to central ...

In this new era of intelligence and automation, it is important to develop intelligent software to analyse traffic data and detect abnormal activities occurring in the public. Information from GPS, Surveillance cameras, traffic management systems etc ...

Face recognition technology has become increasingly prevalent in a wide range of industries, including security, monitoring, and biometrics. However, despite this prevalence, achieving accurate and effective face recognition in real-world scenarios ...

In the last decade, facial recognition and verification methods have been extensively used for surveillance and security purposes. However, most of the time, recognizing and/or verifying faces is challenging due to the low facial resolution of the ...

While aging adults frequently prefer to "age in place", their children can worry about their well-being, especially when they live at a distance. Many in-home systems are designed to monitor the real-time status of seniors at home and provide information ...

Now that the protections of Roe v. Wade are no longer available throughout the United States, the free flow of personal data can be used by legal authorities to provide evidence of felony. However, we know little about how impacted individuals approach ...

We use a design workbook of speculative scenarios as a values elicitation activity with 14 participants. The workbook depicts use case scenarios with smart home camera technologies that involve surveillance and uneven power relations. The scenarios were ...

Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches published in the last decades are dominated by the use of silhouettes or other appearance-based ...

Institutions like public and universities face conflicts of values when using surveillant digital tools: organizations bound to protect the privacy and respect their autonomy of their constituents - which we term “values-led organizations” - find those ...

Most of the successful person re‐ID models conduct supervised training and need a large number of training data. These models fail to generalise well on unseen unlabelled testing sets. The authors aim to learn a generalisable person re‐...

In this work, the authors aim to learn a generalisable person re‐identification model. The model uses one labelled source dataset and one unlabelled target dataset during training and generalises well on the target testing set. To this end, after a ...

The classic hide-and-seek game is an abstraction for many real-world scenarios like capturing intruders in a closed space, locating objects, patrolling an area, etc. Since most of the present work is based on static obstacles, we address solutions for ...

Participatory action research (PAR) approaches center community members’ lived experiences and can spur positive change around pressing challenges faced by communities. Even though PAR and similar approaches have been increasingly adopted in HCI ...