Since mid-2013 I have been looking at the quantified self movement and how use of wearable technologies and mobile self-tracking apps have become integrated with social network sites, allowing people to share experiences, build community, and gain peer support (illustrated in Figure 1). My focus on quantified self grew out of my research into social networks and how ethnographic research could help business and IT strategists better understand social networking, including design practices for social network sites. Ethnography has been an interest of mine for a few years. Some time ago I contributed a guest blog post (“Can Ethnography Save Enterprise Social Networking”) to Ethnography Matters, a popular site that discusses various aspects of the craft. As quantified self becomes more established in the market, its intersection with mobility, social networking, and ethnography is one of the most intriguing areas of my coverage.
Figure 1: Quantified Self – More Than Wearable Gear & Self-Tracking
I tend to think of quantified self beyond just wearable gear and self-tracking. In my mind, the trend is more about how aspects of our lives have become, or are fast becoming, quantified (or sensored) which raises significant societal issues. For the Gartner audience, the key issues are more related to how business and IT strategists should respond to this confluence of trends.
Major brands (e.g., Nike) are strategically providing consumers with such community environments (Figure 1: Digital Business). Wearable devices, mobile self-tracking apps, and the self-tracking information people share with community members provides business strategists (e.g., digital marketers, product/service teams, and innovation groups), with opportunities to engage audiences in new ways, build more collaborative customer relationships, and gain a competitive edge. The network effects arising from quantified self have led me to examine a variety of different impacts ranging from accelerators like Rock Health (Figure 1: Funding & Business Development), to fashion issues (Figure 1: Society at Large), and how organizations might position quantified self within wellness programs – in turn, leveraging enterprise social networking platforms for the personal support and community aspects (Figure 1: Workforce Engagement). Down the road, the types of self-track apps and supporting services for quantified self could intersect with smart machines such as smart advisors and virtual personal assistants (Figure 1: Internet of Things).
The opportunity for unpacking some of these trends presented itself at the EPIC 2013 conference held in London this past September where I was fortunate enough to moderate a workshop, “Mobile Apps & Sensors: Emerging Opportunities For Ethnographic Research” The focus of the session was based on two trends:
- Mobile apps are emerging that are specifically designed for observational and participatory ethnographic field research (e.g., Ethos App, MyServiceFellow , and Over The Shoulder). These apps can also be used as part of market research efforts, augmenting current practices that rely on surveys, interviews, and focus groups.
- The ethnographic community has also become interested in trends related to quantified self, giving rise to discussions (and debate) on how self-tracking, personal data / data aggregation, and common API’s can also support field research activities.
While the workshop was not intended as an in-depth presentation on the issues, preparing for the session helped me to organize some thoughts and build on two key related pieces of 2013 researched published just prior to the event:
- Maverick Research: Personal Surveillance as the New Barter System
- Technology Overview: Quantified Self
For an overview of the workshop, I encourage you to read a guest post submitted to Ethnography Matters, “Lessons Learned From EPIC’s Mobile Apps & Quantified Self Workshop”. I would like to thank Tricia Wang for reaching out and encouraging my research. This blog post acts as Part 2 to that contribution.
In the workshop, we discussed how increased use of mobile apps and quantified self is causing greater interest in blended research approaches (see Figure 2). While data science is perhaps the most popular approach covered in the media, use of social and behavioral sciences is also on the uptake to better understand the cultural and cognitive dynamics that influence people, decisions, relationships, and actions (individually and/or collectively).
Figure 2: Shifting From Episodic To Continuous Observation
The key workshop conclusion (summarized in Figure 3), was that ethnographic research can be enhanced via purposeful mobile apps but can also be extended as quantified self becomes a broader market dynamic. However, common interfaces (e.g., APIs) might be needed to support field research activities. Also, for this type of intimate participation and third-party observation to be viable, attendees felt that research ethics and privacy issues (e.g., awareness, notice, and consent) had to be addressed. It was noted that there are many open-ended questions regarding the security, privacy, and data ownership rights related to quantified self.
Figure 3: Extending The Reach Of Ethnographic Research
I encourage you to share your viewpoint via comments. For clients, if you would like to discuss issues raised in this blog post, or my guest post on Ethnography Matters in greater detail, feel free to follow the Gartner inquiry process.
Read Complimentary Relevant Research
Predicts 2017: Artificial Intelligence
Artificial intelligence is changing the way in which organizations innovate and communicate their processes, products and services. Practical...
View Relevant Webinars
The Mobile Scenario: Taking Mobility to the Next Level
The definition of "mobile" in the post-app era will involve new interactions such as bots and conversations, new devices such as wearables...
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.