Predicting whether users view dynamic content on the world wide web

Jay, Caroline; Brown, Andy; Harper, Simon

doi:10.1145/2463579.2463580

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…We must recognise that it will be challenging to make sense of large quantities of low-level interaction data, even if its structure and interpretation is considered in advance. Our own experience is that ecologically designed lab studies can result in interaction models (describing activities, for example) that are transferable to the wild [12,3], and we suggest that such models could form important building blocks, or 'interaction units', which are used to produce more easily interpretable analytics. This will require knowledge exchange between the professional interaction design and research communities, and presents an exciting opportunity to bridge the gap between theory and practice that is still prevalent in HCI [4].…”

Section: Discussionmentioning

confidence: 99%

"I Woke Up as a Newspaper"

Evans

Kerlin

Jay

2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

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Spending the day as a newspaper, with your faculties and HCI curiosity intact, would allow rich observation of the interaction process: the reader's touch, gaze, expression... all relating valuable information about the user experience. Digital devices -unlike newspapers -have the capacity to log interaction data. We are still some way from fully exploiting it however, due to the data's size and complexity. Rather than simply logging data and trying to make sense of it, we suggest designing-in detailed UX-analytics. We report our experience challenging interaction designers to consider what they would like to know about the user, and how they could capture this data -from the starting point of a sentient newspaper.

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Section: Discussionmentioning

confidence: 99%

"I Woke Up as a Newspaper"

Evans

Kerlin

Jay

2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Self Cite

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“…Jay et al [6] have shown that in the context of dynamic content on web pages up to 80% of the user's attention can be approximated correctly. Recently attention approximation has also been applied in the context of studying way-finding problems in buildings, but the used models typically do not realistically model the variations of the field of view and the dynamics of head motions for different context situations.…”

Section: Related Workmentioning

confidence: 99%

Attention approximation of mobile users towards their environment

Schrammel

Regal

Tscheligi

2014

CHI '14 Extended Abstracts on Human Factors in Computing Systems

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Public environments are increasingly equipped with interactive features, such as electronic maps for way finding, dynamic information displays or animated advertisements. Understanding the attention patterns of users within these environments is important for the design and evaluation of such interactive elements. We present a modelling approach based on dynamic adaptation of the users' field-of-view, bottom-up visual saliency calculation and task-dependent semantic interest modeling that allows approximating the attention of users with regard to a photorealistic 3D-model. This improved availability of attention information can help to design more usable navigation systems, identify problems for user groups with special needs and support the design of seamless attention switches between information elements.

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“…On the other hand, the discovered behaviour may be concise and specific to a particular situation that can be found in different type of Web sites. For example, finding out what characteristics of a displayed banner make it more appealing to users in order to catch their eye gaze [7].…”

Section: Related Literaturementioning

confidence: 99%

Understanding users in the wild

Apaolaza

Harper

Jay

2013

Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility

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Laboratory studies are a well established practice that present disadvantages in terms of data collection. One of these disadvantages is that laboratories are controlled environments that do not account for unpredicted factors from the real world. Laboratory studies are also obtrusive and therefore possibly biased. The Human-Computer Interaction (HCI) community has acknowledged these problems and has started exploring in-situ observation techniques. These observation techniques allow for bigger participant pools and their environments can conform to the real world. Such real-world observations are particularly important to the accessibility community who has coined the concept accessibility-in-use to differentiate real world from laboratory studies. Realworld observations provide low-level interaction data therefore making a bottom-up analysis possible. This way behaviours emerge from the obtained data instead of looking for predefined models. Some in-situ techniques employ Web logs in which the data is too coarse to infer meaningful user interaction. In some other cases an exhaustive manual modification is required to capture interaction data from a Web application. We describe a tool which is easily deployable in any Web application and captures longitudinal interaction data unobtrusively. It enables the observation of accessibility-in-use and guides the detection of emerging tasks.

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Predicting whether users view dynamic content on the world wide web

Cited by 8 publications

References 28 publications

"I Woke Up as a Newspaper"

"I Woke Up as a Newspaper"

Attention approximation of mobile users towards their environment

Understanding users in the wild

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