In this article we explore near-future of the pervasive computing, AI, and HCI in the context of the disruptive potential of technologies on workers in the on-demand gig economy. Using fictional abstracts, the authors muse on dystopian case studies of: independent contractors, last-mile couriers, teachers, and creative professionals. This article serves as base for critical reflections on: 1) the need for multidisciplinary approaches when tackling broader and far-reaching societal implications of digital technology in the gig economy, and 2) the potential role of fictional abstracts in the design process of future digital technologies. CCS CONCEPTS • Human-centered computing → Human computer interaction (HCI).

We take up Bødker's [9] challenge to 'identify' a fourth wave HCI, building on the work of Blevis et al. [8] and others to shore up a new vision that places 'politics and values and ethics' at the forefront without abandoning the strengths of previous waves. We insist that a fourth wave must push harder, beyond measured criticism for actual (e.g. institutional) change. We present two studies performed at CHI'19, where we used our MANIFESTO! game to: 1) take the temperature of colleagues on adopting an activist stance, 2) test manifesto writing as a key activity in pushing HCI forward into the fourth wave, and 3) test our game for subsequent iterations, and as a probe for inspiring new digital tools. With the enthusiastic response received to gameplay, facilitated in part through a novel method using tableau vivant, we argue for taking political activism from the margins into mainstream HCI.

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Searching for people online is a common search task that most of us have performed at some point or other. With so much information about people available online it is often amazing what one can find out about someone else -especially when information taken from different sources is pieced together to create a more detailed picture of the individual, and then used to make inferences about them (leading to cumulative revelations). As such, the relevance of one piece of information is often conditional and dependent on other pieces of information found. This creates interesting and novel challenges in evaluating information relevance when searching personal profiles, posts and related information about an individual, as well as the potential risks that can arise from such revelations. In this demonstration paper, we present a tool designed to investigate how people assess and judge the relevance and potential risks of small, apparently innocuous pieces of information associated with fictitious personas, such as Taylor Addison, when searching and browsing online profiles and social media. The demonstrator also comprises a cyber-safety tool, which aims to provide education and raise awareness of the potential risks of cumulative revelations. It does so by engaging participants in different scenarios where the relevance of individual information items depends on the searcher and their particular underlying motivation.