Apresentação da tese de Ian Li, que pesquisa personal informatics.
No CHI (Conference on Human Factors in Computing Systems) de 2011 ocorreu um grupo de trabalho com o tema “Personal Informatics & HCI: Design, Theory, & Social Implications“, reunindo vários papers sobre a utilização de técnicas computacionais para fins pessoais, com proposta semelhante ao Self Quantificado.
Abaixo o resumo e link para alguns papers que destaco:
Calming Technologies – Neema Moraveji, Neekaan Oshidary, Roy Pea, BJ Fogg
Calming technologies are interactive systems that help users maintain optimal cognitive, physiological, and emotional resting state even while they performing tasks. We attribute the emergence of calming technologies to the widely acknowledged benefits of stress- and anxiety-reduction in physical health, productivity, and performance. We describe observed approaches to calming technologies and motivate researchers of personal informatics to consider how their work aligns or is at odds with the goals of calming. Personal informatics, persuasive systems, and calming technology overlap due to the prevalence of sensors and feedback in an attempt to influence user behavior.
Personal Informatics for Reflection on Personal Values – Christian Detweiler, Alina Pommeranz, Catholijn M. Jonker
In this paper we advocate the use of personal informatics systems for self-reflection on personal values. We describe the role values play as guiding principles in people’s lives. We then describe Value- Sensitive Design, an approach to the design of technology that aims to account for values throughout the design process. We subsequently argue that personal informatics, in its focus on self-reflection, is well-suited as a means for discovering and understanding personal values, which can then be used as a starting point for Value-Sensitive Design. Finally, we provide a preliminary description of a mobile application we will implement that will support reflection on personal values.
Your personal brand: itʼs not just you – Jacquelyn Martino, Patrick Wagstrom
Brand identity is relevant not just for companies, but also for individuals. Some advocate complex strategies for personal brand creation, but we assert that social network interactions in Facebook, LinkedIn and Twitter implicitly define a personal brand. We posit that the chain of people and entities with whom the individual interacts both explicitly and implicitly as well as the topics of those interactions is core to three facets of personal brands: actual, targeted, and perceived. Analysis and refinement of personal information generated in network relations can quickly create a personal brand. This paper presents an experiment to explore our position.
Sentiment Analysis on Personal Email Archives – Sudheendra Hangal, Monica S. Lam
A significant portion of a user’s digital past is recorded in the form of email messages, SMS texts, tweets, status up- dates and blog posts. We view this personal text archive as a personal informatics system that captures deep and meaningful information for the user. However, it is a challenge to efficiently browse and extract useful infor- mation from an unstructured text corpus spanning tens of thousands of entries accumulated over many years. We propose the use of sentiment analysis techniques on users’ personal text archives to aid in the task of per- sonal reflection and analysis . We have built and publicly released a system called Muse that processes an email archive, and slices it across different sentiment facets, such as those expressing various emotions, congratula- tory messages, and messages related to family matters, religion, and health. These slices are used for visualizing the archive and as entry point into browsing the actual messages. We describe some early experiences with this system.