SoberComm

Abstract

This paper reports on the development of a mobile support system (called SoberComm) aimed at facilitating the sharing of alcohol-use data between patients and their family members, while providing treatment teams with the data necessary to make constructive suggestions concerning inter-family communications. We began by conducting a pilot study to identify salient themes, which could be used to guide the overall design of the system. We then conducted an iterative development process involving the prototyping and evaluation of user interfaces using medium-fidelity wireframes. The final high-fidelity design was used in the practical implementation of SoberComm in a two-week field study involving nine dyads of alcohol dependent patients and their family members. Results demonstrate that SoberComm makes it easier for patients to refuse alcohol and deal with many of the issues underlying the difficulties they face. Responses collected via qualitative interviews also provided qualitative evidence that the proposed system can enhance problem-solving skills and facilitate communication between alcohol-dependent patients and their family members.

People with long-term conditions sharing personal health data via digital health technologies: A scoping review to inform design

“…A common theme found in the reviewed work was Support Patient Involvement, reported in five publications [41,[45][46][47]51]. Users shared their personally generated health data to become more active in their personal health and care.…”

Mapping and Taking Stock of the Personal Informatics Literature

“…Deployment studies typically also involved interviews or surveys with participants. 47 publications (12%) incorporated lab studies (e.g., of a new tool for reflection [268,273,274], of a new data collection technique [130,292], as a data source for development of a clustering or recognition algorithm [63,126,199,292]) and 39 (10%) involved participatory design activities (e.g., providing participants artifacts or scenarios to inform design of future tools [25,115,165,301], co-creating tools with participants [140,178,245]). 37 empirical studies (9%) leveraged publicly-available data, such as videos of Quantified Self talks [42,291], social media posts [12,43,74,98,213,287], posts to forums [84,189,207,219], or app reviews [36,76,233].…”