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This article explores the relationship between national culture and computer-mediated communication (CMC) in Wikipedia. The articles on the topic game from the French, German, Japanese, and Dutch Wikipedia websites were studied using content analysis methods. Correlations were investigated between patterns of contributions and the four dimensions of cultural influences proposed by Hofstede (Power Distance, Collectivism versus Individualism, Femininity versus Masculinity, and Uncertainty Avoidance). The analysis revealed cultural differences in the style of contributions across the cultures investigated, some of which are correlated with the dimensions identified by Hofstede. These findings suggest that cultural differences that are observed in the physical world also exist in the virtual world.

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In this position paper we encourage the use of eye tracking measurements to investigate users' cognitive load while interacting with a system. We start with an overview of how eye movements can be interpreted to provide insight about cognitive processes and present a descriptive model representing the relations of eye movements and cognitive load. Then, we discuss how specific characteristics of human-computer interaction (HCI) interfere with the model and impede the application of eye tracking data to measure cognitive load in visual computing. As a result, we present a refined model, embedding the characteristics of HCI into the relation of eye tracking data and cognitive load. Based on this, we argue that eye tracking should be considered as a valuable instrument to analyze cognitive processes in visual computing and suggest future research directions to tackle outstanding issues.

a b s t r a c tThis paper reports an investigation of older adults' needs and preferences concerning online social support. We focused our analysis on seven different aspects of online support: Self disclosure, Deep support, Light support, Community building, Information/Facts, Off topic, and Technical issues. For each aspect we were interested in how older adults perceive this aspect of support, what they think are the similarities and differences of this aspect of support in online settings vs offline settings, and what they perceive are the advantages and disadvantages of communicating this aspect of support online. We did this by conducting detailed interviews with three groups of older adults (31 people in total) with different levels of expertise in using the internet and online communication (older adults who do not use the internet, older adults who use only email, and older adults who participate in online support communities). Interviews were transcribed verbatim and analyzed. Our findings describe older adults' perception of different aspects of support and identify their motivation for turning to online support and the reasons for any reluctance to do so. Thus, our findings give insight into how online support communities could best be utilized to improve older people's experience with online support.

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With the increasing popularity of online support communities for people with disabilities and older people, the research domain of online communities is gaining more and more research potential in the area of inclusive design. There are many studies that investigate social interactions within online communities. However, researchers seem to apply a variety of different methods in very different ways. This makes it often difficult to decide on the appropriate method. In order to provide guidance to researchers in the area of inclusive design, this paper reviews past research in this area and presents a self-contained methodology that is based on qualitative content analysis for studying social interactions in online support communities for people with special needs. A case study from an online community for older people is presented in order to set the theory into context.

In this article, an online support community for older people is studied, with the aim of developing a taxonomy of social roles based on content analysis and social network analysis. Four hundred messages (posted between August 9, 2007, and February 5, 2008) in an online support community for older people (http://www.seniornet.org) were investigated. The data were analyzed to identify and shed light on patterns of the online functional behavior as well as the social structure of active members. Drawing on the findings, a set of six social roles were identified, defined, and described in depth. The findings showed that the structural positions of online community members were associated with the kind of content these members tended to post. For example, it was found that central members were very likely to give support, whereas members not very well connected were more inclined to post self-disclosing messages.