The rapid growth in the range of data measures from wearable and stationary sensing devices has led to the adoption of multiple devices in health research. Such multi-device setups present challenges in sustaining patient engagement to capture continuous and high-quality datasets. One approach is to present health data to patients throughout the study but often occurs upon study completion. We report on preliminary insights from a feasibility study (IDEA-FAST) where multiple devices were used by 141 patients in their free-living environments. Interviews with a subset of patients and clinicians highlight challenges and opportunities around participation, data use and interpretation, including understanding compliance and data explainability with patients. We propose that summarising metadata from device usage could foster engagement and scale across a range of technologies regardless of the specific measures or post-processing algorithms provided by devices. CCS CONCEPTS• Human-centered computing → Empirical studies in ubiquitous and mobile computing.

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Delivering training to volunteers is a huge challenge for nongovernmental organizations (NGOs). Traditional classroombased approaches that dominate training are problematic due to the limited participation they offer to trainees. Peer-led approaches however, have shown promise in helping NGOs utilize trainee experiences within training. Although technologies are playing an increasing role in training, their benefits are not well understood. We describe our experience of designing peer-led training for community volunteers in rural India. Working alongside an NGO involved in community regeneration and social action, we collaboratively delivered a ten-day training workshop, deploying audio technologies to engage the participants in sharing lived experiences. We draw on reflections from trainers and trainees on how utilizing participant voice can enhance training. We highlight opportunities around the usage of audio technologies for engaging with participant voice, including the ability to reclaim trainee agency within training and to work within cultural barriers.

Community engagements are qualitative processes that make use of participants local knowledge for democratic decisionmaking, but often exclude participants from data analysis and dissemination. This can mean that they are left feeling that their voice is not properly represented in the final output. This paper presents a digital community engagement process, Talk-Futures, that actively involves participants in the production, distributed analysis and summarization of qualitative data. The design of TalkFutures was explored through a five-week deployment with the International Federation of Red Cross and Red Crescent Societies (IFRC) as part of a consultation designed to inform future strategy. Our analysis of deployment metrics and post-deployment interviews outline how TalkFutures: (i) increased modes of participation across the qualitative workflow; (ii) reduced barriers to participation; and (iii) improved representation in the engagement processes.

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