Exploring children's 3DTV experience

Obrist, Marianna; Wurhofer, Daniela; Gärtner, Magdalena; Förster, Florian; Tscheligi, Manfred

doi:10.1145/2325616.2325641

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…It also has become common ground in the HCI community that experiences are subjective in nature and highly dependent on the usage context [24,32]. Hence, a user's experiences can be shaped and influenced based on his or her individual preferences (regarding aesthetics or ergonomics), mood, prior interactions, product brand, age, gender, and culture [7,12,16,29,30,34,42,51,52]. The cultural aspect becomes particularly interesting for global businesses, whose products or services can be accessed, evaluated, and purchased from all over the world [17,37,46,61].…”

Section: Introductionmentioning

confidence: 99%

UX Metrics: Deriving Country-Specific Usage Patterns of a Website Plug-In from Web Analytics

Lachner

Fincke

Butz

2017

Human-Computer Interaction – INTERACT 2017

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Metrics for User Experience (UX) often involve traditional usability aspects, such as task success, but also mental aspects, such as interpretation and meaning. The actual experience of a user also highly depends on personal characteristics, such as the social and cultural background. In this paper, we investigate the relation between users' country of origin and their interaction patterns with an e-commerce website plug-in. We used a quantitative web analytics approach based on six UX-related metrics to evaluate the applicability of a quantitative UX evaluation approach in an international context. In a 34 day study we analyzed the usage patterns of 5.843 French, 2.760 German, and 5.548 Italian website visitors and found that they show significantly different patterns. This indicates that website metrics are a suitable means for cost-effective UX analysis on a large scale, which can provide valuable starting points for a further in-depth analysis.

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Section: Introductionmentioning

confidence: 99%

UX Metrics: Deriving Country-Specific Usage Patterns of a Website Plug-In from Web Analytics

Lachner

Fincke

Butz

2017

Human-Computer Interaction – INTERACT 2017

View full text Add to dashboard Cite

show abstract

“…A group of studies investigated audience response to 3D television (3DTV), by using data collected over a three day period in a shopping mall [13], [14], [15]. During this time, 229 participants contributed towards the first study concerning sickness and 471 participants contributed towards the second study concerning presence in the 3DTV viewing experience.…”

Section: Introductionmentioning

confidence: 99%