No abstract

Gamification can change how and why people interact with software. A common approach is to use quantitative feedback to give users a feeling of progress or achievement. There are, however, other ways to provide users with motivation or meaning during normal computer interactions, such as using emotional reinforcement. This could provide a powerful new tool to allow the positive effects of gamification to reach wider contexts. This paper investigates the design and evaluation of a mobile to-do list application, 'Tamu To-Do', which utilises gamified emotional reinforcement, as seen in Figure 1. A week-long field study (N=9) recorded user activity and impressions with the application. The results supported emotional reinforcement's potential as a gamification strategy to improve user motivation and engagement. CCS CONCEPTS • Human-centered computing → Field studies; User centered design; • Software and its engineering → Interactive games;

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This paper presents a survey informing a user-first approach to designing calming affective haptic stimuli by eliciting user preferences in different social scenarios. Prior affective haptics research presented users with stimuli and recorded emotional responses. By contrast this work focuses on the sensations users wish to experience and how these can be simulated using haptics. The survey (n=81) investigated which users preferences in four social situations to reduce social anxiety. Using thematic analysis of responses we created a coding scheme of stimuli derived from real-world experiences to emulate with affective haptics. By cross-referencing these categories with affective haptics research, we provide recommendations to designers about which calming stimuli users wish to experience socially and how they can be implemented. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Haptic devices; User studies.

Thermal cameras have become portable enough to integrate into wearables, such as glasses, and can be used maliciously to infer passwords observing heat traces left on keyboards, keypads and screens. While prior work showed how AI-driven approaches can be used to further enhance the effectiveness of these attacks, we use similar approaches to detect vulnerable interfaces and obfuscate heat traces to defend against thermal attacks. At our Augmented Humans 2023 demo, attendees will have the chance to use a thermal camera to observe thermal traces on a keyboard, and observe how machine learning can both automatically identify keys pressed based and identify, then obfuscate, thermal images of a keyboard to prevent thermal attacks. This demo will provoke thought and discussion about the security risks presented by discrete, wearable thermal cameras and how these risks can be mitigated by both designers and users. CCS Concepts: • Security and privacy → Usability in security and privacy; Privacy protections; • Computing methodologies → Computer vision; Machine learning.