Culture and HCI: a review of recent cultural studies in HCI and social networks

Kyriakoullis, Leantros; Zaphiris, Panayiotis

doi:10.1007/s10209-015-0445-9

Cited by 44 publications

(15 citation statements)

References 52 publications

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“…Both classifications have been widely adopted in many HCI and persuasive technology studies (Khaled et al, 2006;Oyibo et al, 2018e). Moreover, a large amount of research (Sun, 2001;Kyriakoullis and Zaphiris, 2015;Oyibo and Vassileva, 2019) in HCI and persuasive technology shows that culture plays a significant role in users' perceptions and usage of information systems, such as websites.…”

Section: Culturementioning

confidence: 99%

HOMEX: Persuasive Technology Acceptance Model and the Moderating Effect of Culture

Oyibo

Vassileva

2020

Front. Comput. Sci.

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Section: Culturementioning

confidence: 99%

HOMEX: Persuasive Technology Acceptance Model and the Moderating Effect of Culture

Oyibo

Vassileva

2020

Front. Comput. Sci.

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“…Moreover, previous studies show that, although Chinese sites like Renren and Weibo are technically very similar to Facebook and Twitter, their culture is perceived as more collectivist, suggesting that cultural background could be more important than the technology used in describing the observed usage differences [6,26]. A comprehensive survey on HCI and cultural differences [16] emphasizes that understanding cultural values is essential for the design of successful user interfaces. Certain aspects of social media usage, e.g., topics discussed, could also be linked to socio-economic factors in Foursquare [28,36] and Twitter [27].…”

Section: Related Workmentioning

confidence: 99%

Why the World Reads Wikipedia

Lemmerich

Sáez-Trumper

West

et al. 2019

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

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As one of the Web's primary multilingual knowledge sources, Wikipedia is read by millions of people across the globe every day. Despite this global readership, little is known about why users read Wikipedia's various language editions. To bridge this gap, we conduct a comparative study by combining a large-scale survey of Wikipedia readers across 14 language editions with a log-based analysis of user activity. We proceed in three steps. First, we analyze the survey results to compare the prevalence of Wikipedia use cases across languages, discovering commonalities, but also substantial differences, among Wikipedia languages with respect to their usage. Second, we match survey responses to the respondents' traces in Wikipedia's server logs to characterize behavioral patterns associated with specific use cases, finding that distinctive patterns consistently mark certain use cases across language editions. Third, we show that certain Wikipedia use cases are more common in countries with certain socioeconomic characteristics; e.g., in-depth reading of Wikipedia articles is substantially more common in countries with a low Human Development Index. These findings advance our understanding of reader motivations and behaviors across Wikipedia languages and have implications for Wikipedia editors and developers of Wikipedia and other Web technologies.

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“…Our study is not without its own limitations which can be directions for future research. As has been rightly put forth by Kyriakoullis & Zaphiris [35] that it is important to pay attention to cultural aspects when studying a user interaction with technology. They further put forth that "understanding cultural values is essential for the design of successful and widely accepted user interfaces".…”

Section: Study Limitationsmentioning

confidence: 99%

Modelling Trust: An Empirical Assessment

Gulati

Sousa

Lamas

2017

Lecture Notes in Computer Science

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Trust has shown to be a key factor influencing user uptake and acceptance of technologies. Despite the increase in interest in trust research and its stated importance in HCI, prior research has mainly focused on understanding its role in human to human interactions mediated through technology. The ongoing and rapid technological developments have made it necessary to move beyond studying trust relationships between people mediated by information technology (IT) and focus on studying the relationship of the user with the IT artifact itself. We recognize that HCI discipline lacks a focused body of knowledge on trust and there is a lack of theoretically grounded and robust psychometric instruments for quantifying trust. With this in mind, this article is aimed at empirically evaluating a socio-technical model of trust so as to assess its feasibility in user technology interactions. Using prior established measures and theories, we identify seven trust attributes and test the proposed model using partial least square structural equation modelling (PLS-SEM). Our study contributes to the literature by advancing the discussion of trust in human-artefact relationship.

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Culture and HCI: a review of recent cultural studies in HCI and social networks

Cited by 44 publications

References 52 publications

HOMEX: Persuasive Technology Acceptance Model and the Moderating Effect of Culture

HOMEX: Persuasive Technology Acceptance Model and the Moderating Effect of Culture

Why the World Reads Wikipedia

Modelling Trust: An Empirical Assessment

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