This paper introduces a novel methodological approach for surfacing the acceptability and adoption challenges that confront future and emerging technologies from the perspective of mundane action, in which they will ultimately be embedded and used. This novel approach configures design fiction as a breaching experiment to surface taken for granted background expectancies that are fateful for acceptability and adoption. We explain the logic of this new interdisciplinary method and present a concrete case to demonstrate its viability: a design fiction called Experiencing the Future Mundane (EFM), which depicts a future world in which watching TV is driven by smart adaptive media. We explicate the design of the EFM, how it was configured to breach common sense knowledge and surface taken for granted background expectancies concerning how watching TV works and is expected to work, the acceptability and adoption challenges that emerge from user engagement with the experience, and how this novel approach may be adopted more broadly.

As novel media experiences turn towards audience personal data for enhancement, a range of socio-technical challenges that confront their adoption into the everyday lives of audiences are simultaneously surfaced. Podcasts, being the latest member of this emergent phenomena help present the next generation of challenges here like the management of trust within scenarios of implicit (audio-based experiences’) data collection and the consideration for real world social scenarios where these media experiences are shared. This paper reports the conceptualisation and design phase of the first adaptive podcast that seeks to explore these questions of management of trust and sociality of data through the application of the principles of Human Data Interaction, particularly the provision of scope for user data negotiations.

Often accounts and profiles on media platforms discount the real-world complexities of sharing by naively designing technology that supports one user per account. While recently popular media platforms like Netlfix and Disney+ have started responding here, the solutions are simplistic. Within research, despite recent interest, a holistic narrative of the practicalities of sharing and support which could be effectively leveraged for future design of media platforms that support sharing is yet to be investigated. This paper reports a set of user focus groups and expert interviews that present a holistic set of 5 challenges confronting this scope. We further situate these findings in two practical examples of sharing, one current and one near-future, to demonstrate the real-world applicability of said findings by both explicating the challenges and using them as a lens to start exploring responses in each case.

While explication of socio-technical challenges posed by personal data leverage in media research has been of interest recently, effective responses that alleviate them are yet to be studied. This paper reports the use of a Cross Media Profiler prototype supported by a Personal Data Store, that combines personal data from different media services for more holistic media recommendations. This prototype is used to probe and explore the integration of Human Data Interaction principles in media experiences, as a response to these challenges. Our focus groups reveal that users prefer the media service when supported by the PDS while highlighting improvements around transparency and control. The work leads to two outcomes : design recommendations for future media experiences to embody increased sensitivity to the implications of personal data leverage and a critique of the HDI agenda through the lens of data driven media, which scopes out potential for future IMX intervention.

Bringing the new right to data portability (RTDP) from an abstract legal provision in Article 20 of the EU General Data Protection Regulation (GDPR) 2016 into practice requires a greater role for the IT design community. Simply put, the RTDP seeks to empower users by giving them greater control over their personal data, enabling them to both acquire their data and then move it around, for example to a different data controller. In this paper, we focus on how IT designers can use Privacy by Design (PbD) approaches to respond to these RTDP obligations. We are particularly interested in how the RTDP plays out for the technological context of the domestic Internet of things (IoT). By examining the legal, commercial and technical landscape around the RTDP, we can begin to unpack the practical roadblocks and opportunities ahead in implementing the right in practice.

Media researchers are adopting personalisation in diverse ways to deliver increasingly context-sensitive and customised media experiences. This paper explores user attitudes towards a personalised Electronic Programme Guide which tailors media recommendations based on users' personal data. We used scenario based exploration enabled by the use of probes to convey the functionalities of data-driven personalised EPGs and to facilitate user discussions around its potential use. Users preferred personalised EPGs over current popular EPGs but expressed a significant lack of trust in the personal data collection that drives personalisation. Users appreciated the functionalities afforded by personalisation of media but were apprehensive about the implications of the personal data being collected about them, particularly in the context of their homes. This calls for the need to design future personalised media experiences that help enhance trust in these socio-technical settings.