Design for new international students
Every year, there are new international students in the U.S., newly moving from other countries. They cannot help struggling from various informational/practical challenges in daily life due to a lack of prior experiene in the U.S. To help their initial settlement, we are exploring how to design for new international student. By doing so, we aim to encourage international students to have better experience while settling down well in the U.S. as well as to be equal participants in the University communities.
I organized and hosted a series of participatory workshop with international students in the University of Washington with the research group, and created/developed the prototypes of online community for international students. We tested its usability, and currently work on implementing and polishing the prototype.
In the workshop, we followed general user centered design process combining with futures workshop methods; and in the iteration process, we followed general interaction design process. The whole process of the project is as below.
The Effect of Temporal Distance on Planned Behaviors
Despite the prevalence of theories and interventions related to behavior change, our knowledge on how intention for a target, or planned behavior, changes over time remains limited. This hinders our ability to consider the temporal aspect in our designs. To understand the effect of temporal distances in planned behaviors, we conducted two studies, building on the Theory of Planned Behavior (TPB) and Constual Level Theory (CLT). We found that attitude about the target is more salient in the distal, as people base their judgements on the why of a behavior. Whereas perceived behavioral control can influence intention in both near and far future. When the target is in the near future, people generally focus on the feasibility, or the how of the behavior. In the far future, people may also consider factors related to behavior control, if they are motivated to do so (i.e., hold a strong attitude towards the action). Findings help advance the Theory of Planned Behavior and offer strategies for designers and event organizers to motivate planned behaviors that are in the near and far future.
Korean Immigrants’ information behavior
We conducted the interviews with 16 Korean immigrants in the U.S. to identify their information needs and the challenges they faced while using Information and Communication Technology, and to conceptualize technology to help them settle down in the host country. We found their particular needs of information for safety and education and general immigrants’ needs of information for language and socializing; also found most information needs are overlapped. We analyzed the challenges they faced: 1) they need adjust their expectation toward ICTs, 2) they have preference on peer-generated information and 3) there is tension between ICTs usage and social integration to the host country. The below is a poster presented at the 2014 Dub retreat of the University of Washington
Online Petitioning Behavior on Change.org
With 10,000 user data on Change.org, one of the largest online petitioning site, we examined two potentially competing theories about the trajectories of users in e-petition platforms: that “power” users in social computing systems could be born or made. We find support for both theories: although the most active users can often be identified in their first hour of activity on change.org, their behavior and interactions with petitions changes as their experience with the platform increases. These results both extend an important body of research on social computing to e-petition platforms and suggest a potential way to reconcile two apparently contradictory results in the broader social computing literature. We used mix methods: quantitative analysis(log data) and qualitative analysis (interview). For the analysis of data, we used R and Dedoose. It was published and presented at ACM SIGCHI 2015. [link]
The below is a poster presented at the HCDE Open House 2015.
Social Support on Online Health Community
As a master thesis, I explored perceived social support of online community members in both individual and community levels using network theory. In detail, I conducted online survey with weight loss online community members (N=498), and found that the structural characteristics of online community in both levels differently influence on the four types of social support (informational, emotional, appraisal and tangible support). Compared to the individual level characteristics, the effect of community level characteristics on perceived social support is relatively marginal. Nevertheless, this study shows the possibility that online communities could have their own group identities and those could influence the users’ social support perception beyond its function as just a platform.
As the R.A of Eunmee Kim in the project of Social Science Korea 2012, I explored how the Internet plays a role to build, develop and maintain interpersonal trust. A survey data of the Internet users (N=2050) was analyzed. We revealed that Internet use had a positive effect on interpersonal trust on the Internet on the whole; however, this effect varied depending on specific type of activities and interaction. The study suggests that interpersonal trust on the Internet can “spill over” into social trust. Furthermore, it can be interpreted that Internet use could contribute to build up not only interpersonal trust on the Internet but also social trust.[link]
Analysis on Political Spammer of Twitter
As a class project, the sense-making information, taught by Joonhwan Lee, we analyzed twitter to examined the different twitter diffusion patterns of the president candidates and to explored the possibility to detect political spammers on Twitter. A month before 2012 Korean president election, we collected 10 million of twitter data and investigated how the candidates’ tweet diffusion tweet is different in terms of scale, range and speed.
Co-authorship Pattern Analysis
As a class project, the seminar on Social Network Analysis, taught by Shin-Kap Han, we examined the collaboration patterns of the scholars in communication fields using the social network analysis methodology and the tool (UCINET). Using10 year of co-authorship data from Korean Journal of Journalism & Mass Communication Studies, and Korean Journal of Broadcasting & Telecommunication Studies, and analyzed the pattern and the characteristics of the co-authorship network. I presented at the 17th Annual Graduate Students Conference of Department of Communications in Seoul National University.