Eszter Vigh, Ellen Weir, Joseph Howard, Anne Roudaut 

This paper explores the moral dynamics of HCI through a dual narrative centred on the Seven Deadly Sins and Seven Capital Virtues. Examining the dark side, we scrutinise how lust, gluttony, greed, sloth, wrath, envy, and pride infiltrate innovative technology and HCI, exploiting human vulnerabilities. In contrast, we explore the utopian potential, highlighting instances where chastity, temperance, charity, diligence, patience, kindness, and humility guide virtuous design, contributing to a harmonious technological landscape. This dual storytelling strategy unveils the extremes within our contemporary society, emphasising the moral dimensions of technology. This paper aims to dissect this connection, shedding light on the intricate interplay between human nature and the omnipresent digital realm; ultimately aiming to foster conscientious and user-centric technology development. 

Obinna Ogbonnia Otuu 

My research investigates how technologically enhanced community policing (CP) approach can curb crime and insecurity in Nigeria, by efficiently integrating communications and surveillance systems. In order to achieve this, I have conducted a narrative literature review to understand the current state of community policing in Nigeria, and two systematic literature reviews; firstly to comprehensively understand trust and relationship issues between Nigerian police and the citizens, and secondly to identify technologies used in community policing since inception and how each has fared, as to gain better design insight and direction. Also, I have conducted a survey and interview with 1200 and 18 Nigerian citizens respectively, and a separate interview with 6 Nigerian police commissioners representing the 6 geopolitical zones of the country, through which I gathered relevant data as regards the use of technologies in Nigeria to reduce crime and insecurity. The outcome of the survey and interviews informed a design of a novel body-worn device, integrated with a mobile application for real-time information dissemination. My research findings will produce a tool that will improve community policing in Nigeria and lower insecurity and crime rates therein. 

Sandy J J Gould 

I argue that epistemologies of workplace surveillance are shifting in fundamental ways, and so critiques must shift accordingly. I begin the paper by relating Scientific Management to Human-Centred Computing's ways of knowing through a study of 'metaverse' virtual reality workplaces. From this, I develop two observations. The first is that today's workplace measurement science does not resemble the science that Taylor developed for Scientific Management. Contemporary workplace science is more passive, more intermediated and less controlled. The second observation is that new forms of workplace measurement challenge the norms of empirical science. Instead of having credentialed human witnesses observe phenomena and agree facts about them, we instead make outsourced, uncredentialed stochastic machine witnesses responsible for producing facts about work. With these observations in mind, I assert that critiques of workplace surveillance still framed by Taylorism will not be fit for interrogating workplace surveillance practices of the future. 

Cameron Steer, Kim Sauvé, Anika Jain, Omosunmisola Lawal, Michael J Proulx, Crescent Jicol and Jason Alexander 

Surfaces with deformable and shape-changing properties seek to enhance and diversify tangible interactions with computing systems. However, we currently lack fundamental knowledge and user interface design principles that connect the inherent properties of deformable shapes with our human senses and cognitive associations. To address this knowledge gap, we systematically explored deformable shapes' cross-modal correspondences (CC) with colours and emotions. In our CC study, 52 participants were presented with deformable shape stimuli that varied in stiffness and angularity. They were asked to associate these stimuli with colours and emotions under (i) visuo-tactile and; (ii) tactile-only conditions. For the first time, our findings reveal (1) how stiffness level primarily influences the CC associations and; (2) that stiffness and angularity play a significant role in CC associations over the visibility of the shapes. The results were distilled into design guidelines for future deformable, shape-changing interfaces that engage specific human senses and responses. 

Lei Gao, Giorgos Christopoulos, Prateek Mittal, Ryuji Hirayama, Sriram Subramanian 

Acoustic levitation is an emerging technique that has found application in contactless assembly and dynamic displays. It uses precise phase control in an ultrasound transducer array to manage the positions and movements of multiple particles. Yet, maintaining stable mid-air particles is challenging, with unexpected drops disrupting the intended motion and position. Here, we present StableLev, a data-driven pipeline for the detection and amendment of instabilities in multi-particle levitation. We first curate a hybrid levitation dataset, blending optimized simulations with labels based on actual trajectory outcomes. We then design an AutoEncoder to detect anomalies in the simulated data, correlating closely with observed particle drops. Finally, we reconstruct the acoustic field at anomaly regions to improve particle stability and experimentally demonstrate successful dynamic levitation for trajectories within our dataset. Our work provides new insights into multi-particle levitation and enhances its robustness, which will be valuable in a wide range of applications. 

Zhouyang Shen, Zak Morgan, Madhan Kumar Vasudevan, Marianna Obrist, Diego Martinez Plasencia 

Multi-point STM offers a great range of parameters (i.e., drawing frequency, number of points) to produce different tactile sensations. However, existing studies offer limited insight on the effects of these parameters, and ignore their effect on the physical stimuli delivered, limiting effective haptic design. We propose a two-stage model to predict response to multi-point STM. The first stage predicts physical stimulus properties with 7.8\% error, while the second stage predicts mean and spread of perceived intensity with 8.0\% and 8.8\% error. We report 3 studies conducted to derive this model: one to characterize physical stimuli, another one measuring user perceptual thresholds, and a third one measuring user’s perceptual response to multi-point STM. Besides, we characterize 4 effects that influence device performance, confirm if previous effects reported are due to physical or perceptual effects (or both) and derive recommendations for manufacturers, haptic designers and HCI researchers. 

Dominic Potts, Zoe Broad, Tarini Sehgal, Joseph Hartley, Eamonn O 'Neill, Crescent Jicol, Christopher Clarke, Christof Lutteroth 

There is great potential for adapting Virtual Reality (VR) exergames based on a user's affective state. However, physical activity and VR interfere with physiological sensors, making affect recognition challenging. We conducted a study (n=72) in which users experienced four emotion inducing VR exergaming environments (happiness, sadness, stress and calmness) at three different levels of exertion (low, medium, high). We collected physiological measures through pupillometry, electrodermal activity, heart rate, and facial tracking, as well as subjective affect ratings. Our validated virtual environments, data, and analyses are openly available. We found that the level of exertion influences the way affect can be recognised, as well as affect itself. Furthermore, our results highlight the importance of data cleaning to account for environmental and interpersonal factors interfering with physiological measures. The results shed light on the relationships between physiological measures and affective states and inform design choices about sensors and data cleaning approaches for affective VR.  

Emily Lopez Burst, Marianela Ciolfi Felice, Aisling Ann O’Kane  

The menopause transition has a direct impact on half of the global population, yet it has continued to be a stigmatised topic with limited focus on supporting it with technology. Whilst attention being given to menopause in HCI may be new, people experiencing it is not and people have adopted, adapted and appropriated technologies to support their menopause journey. In this questionnaire and interview study, we examine how people in the UK are using (and not using) existing general and menopause-specific technology to support themselves through the transition. Despite limited menopause-specific technologies available, participants have found novel uses of technologies such as social media and smartwatches for 1) connecting and sharing, 2) information seeking, 3) tracking and reflecting, and 4) self-care. This work contributes design considerations for menopause specific technologies, and design opportunities and challenges for technologies that can be appropriated to support menopause.