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ABSTRACT
We analysed the eye-tracking data of 147 participants as they used a total of 15 separate website navigation menus to complete key activities. The hypotheses for this study were that (a) the psychological phenomenon of the order effect would manifest in that items at either end of a menu would be located more quickly than those in the middle and (b) that the items that were relevant to completing the user‘s tasks would be located more quickly through peripheral visual identification of these items. Although items relevant to the user‘s task were acquired 1.8 seconds faster on average, both of the hypotheses were rejected as no statistically significant patterns were found. It was concluded that each user was likely to have his or her own searching behaviour and this could be affected by other factors such as the graphic design of the menu.

UK 2010 HCI Usability Tobii eye tracking T60 order effect menu peripheral search behavior navigation

in list: HCI & Usability

ABSTRACT
The affective component has been acknowledged as critical to understand information search behavior and user–computer interactions. There is a lack of studies that analyze the emotions that the user feels when searching for information about products with search engines. The present study analyzes the emotional outcomes of the online search process, taking into account the user’s (a) perceptions of success and effort exerted on the search process, (b) initial affective state, and (c) emotions felt during the search process. In addition, we identify profiles of online searchers based on the emotional outcomes of the search process, which allow us to differentiate the emotional processes and behavioral patterns that lead to such emotions. The results of the study stress the importance of the affective component of the online search behavior, given that these emotional outcomes are likely to influence all the subsequent actions that users perform on the Web.

Spain 2010 HCI Usability Tobii eye tracking T60 search engines behavior effort emotion affect

in list: HCI & Usability

ABSTRACT
Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However, few studies have tried to understand how this technology has influenced the way users search for products and make purchase decisions. Our current research aims at examining the impact of recommenders by understanding how recommendation tools integrate the classical economic schemes and how they modify product search patterns. We report our work in employing an eye tracking system and collecting users' interaction behaviors as they browsed and selected products to buy from an online product retail website offering over 3,500 items. This in-depth user study has enabled us to collect over 48,000 fixation data points and 7,720 areas of interest from eighteen users, each spending more than one hour on our site. Our study shows that while users still use traditional product search tools to examine alternatives, recommenders definitely provide users with new opportunities in their decision process. More specifically, users actively click and gaze at products recommended to them, up to 40% of the time. In addition, recommendation areas are highly attractive, drawing users to add 50% more items to their baskets as a traditional tool does. Observing that users consult the recommendation area more as they are close to the end of their search process, it seems that recommenders enhance users' decision confidence by satisfying their need for diversity. Based on these results, we derive several interaction design guidelines that can significantly improve users' satisfaction and perception of product recommenders.

Switzerland 2010 HCI Usability Tobii eye tracking 1750 recommendation Recommender product search evaluate understanding attention usage user

in list: HCI & Usability

ABSTRACT
With the advent of a digital economy, an emphasis on digital products and services has emerged. Those who are not using current technologies will become excluded, however, from this revolution. Older adults represent one such group in danger of exclusion. In some cases, older adults have been disinterested in new technologies. In other cases, however, the technologies fail to take into consideration the strengths and weaknesses of older users that would promote this usability. This paper examines components of information search by younger and older adults. These are considered in terms of long-term implications of designing for older users, with current problems viewed as foreshadowing future trends.

Scotland 2010 HCI Usability Tobii eye tracking X120 age older adults information search design

in list: HCI & Usability

ABSTRACT
Size, color, and orientation have long been considered elementary features whose attributes are extracted in parallel and available to guide the deployment of attention. If each is processed in the same fashion with simply a different set of local detectors, one would expect similar search behaviours on localizing an equivalent flickering change among identically laid out disks. We analyze feature transitions associated with saccadic search and find out that size, color, and orientation are not alike in dynamic attribute processing over time. The Markovian feature transition is attractive for size, repulsive for color, and largely reversible for orientation.

USA 2010 Vision Tobii eye tracking X50 feature transition saccadic search attention

in list: Ophthalmology & Vision science

ABSTRACT
This article discusses how eye-tracking can be used to supplement traditional usability test measures. User performance on two usability tasks with three e-commerce websites is described. Results show that eye-tracking data can be used to better understand how users initiate a search for a targeted link or web object. Frequency, duration and order of visual attention to Areas of Interest (AOIs) in particular are informative as supplemental information to standard usability testing in understanding user expectations and making design recommendations.

USA 2005 Tobii eye tracking 1750 HCI Usability e-commerce search understanding expectation

in list: HCI & Usability

ABSTRACT
Modern search engines display a summary for each ranked document that is returned in response to a query. These summaries typically include a snippet -- a collection of text fragments from the underlying document -- that has some relation to the query that is being answered.
In this study we investigate how 10 humans construct snippets: participants first generate their own natural language snippet, and then separately extract a snippet by choosing text fragments, for four queries related to two documents. By mapping their generated snippets back to text fragments in the source document using eye tracking data, we observe that participants extract these same pieces of text around 73% of the time when creating their extractive snippets.
In comparison, we notice that automated approaches for extracting snippets only use these same fragments 10% of the time. However, when the automated methods are evaluated using a position-independent bag-of-words approach, as typically used in the research literature for evaluating snippets, they are scored much more highly, seemingly extracting the "correct" text 24% of the time.
In addition to demonstrating this large scope for improvement in snippet generation algorithms with our novel methodology, we also offer a series of observations on the behaviour of participants as they constructed their snippets.

Australia 2010 search engine snippet generation construct extract data human automated HCI Usability Tobii eye tracking

in list: HCI & Usability

ABSTRACT
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that infer the intent of the user. From relevance feedback, such as eye movements or clicks, and visual features of images Pinview learns a similarity metric between images which depends on the current interests of the user. It then retrieves images with a specialized reinforcement learning algorithm that balances the tradeoff between exploring new images and exploiting the already inferred interests of the user. In practise, we have integrated Pinview to the content-based image retrieval system PicSOM, in order to apply it to realworld image databases. Preliminary experiments show that eye movements provide a rich input modality from which it is possible to learn the interests of the user.

Austria 2010 Tobii eye tracking 1750 image retrieval system search intent similarity HCI Usability

in list: HCI & Usability

ABSTRACT
Users' visual search on a Web page is impacted by information forms, information layout, Internet advertisements (ads for short), etc. Text and picture are two important forms of expressing the information on Web pages, and it is generally through the two forms of title that users can search their desired information. This study investigates the effect of the two basic information forms and floating ads on visual search using eye-tracking. By analyzing the visual search time and pupil diameter, the results show that it is easier to find the picture than the text; whether the target is text or picture, floating ads do not significantly impact people's visual search time, however, it would make people bored.

China 2009 Market Research marketing eye tracking Tobii T120 forms floating advertisements visual search web picture text

in list: Marketing and Market & Media Research

ABSTRACT
A study based on Google and Yahoo! page results using eye tracker technique is presented. Participants (n=58) attempted informational, navigational, transactional or multimedia tasks. Sessions were recorded with an eye tracker to determine whether the intention behind queries affects the way people browse the results page. Eye fixations in title, snippet, url and images were analyzed in the three first organic and sponsored results. In general terms, the results demonstrate that a relationship exists between the users' intention and their behavior when they browse the results page. Knowing this behavior is important for search engine designers because they can improve their results pages depending on the users' query intentions.

Spain Spanish 2010 Tobii eye tracking T120 intention expectation search engine behavior Information retrieval browse navigate HCI Usability

in list: HCI & Usability

ABSTRACT
This research investigated several important issues in using implicit feedback techniques to assist searchers with difficulties in formulating effective search strategies. It focused on examining the relationship between types of behavioral evidence that can be captured from Web searches and searchers' interests. A carefully crafted observation study was conducted to capture, examine, and elucidate the analytical processes and work practices of human analysts when they simulated the role of an implicit feedback system by trying to infer searchers' interests from behavioral traces. Findings provided rare insight into the complexities and nuances in using behavioral evidence for implicit feedback and led to the proposal of an implicit feedback model for Web search that bridged previous studies on behavioral evidence and implicit feedback measures. A new level of analysis termed an analytical lens emerged from the data and provides a road map for future research on this topic.

USA 2010 Tobii eye tracking 1750 ClearView Google feedback searchers search strategies behavior HCI Usability

in list: HCI & Usability

ABSTRACT
This study examined to what extent users spontaneously evaluate the trustworthiness of Web search results presented by a search engine. For this purpose, a methodological paradigm was used in which the trustworthiness order of search results was experimentally manipulated by presenting search results on a search engine results page (SERP) either in a descending or ascending trustworthiness order. Moreover, a standard list format was compared to a grid format in order to examine the impact of the search results interface on Web users' evaluation processes. In an experiment addressing a controversial medical topic, 80 participants were assigned to one of four conditions with trustworthiness order (descending vs. ascending) and search results interface (list vs. grid) varied as between-subjects factors. In order to investigate participants' evaluation processes their eye movements and mouse clicks were captured during Web search. Results revealed that a list interface caused more homogenous and more linear viewing sequences on SERPs than a grid interface. Furthermore, when using a list interface most attention was given to the search results on top of the list. In contrast, with a grid interface nearly all search results on a SERP were attended to equivalently long. Consequently, in the ascending trustworthiness order participants using a list interface attended significantly longer to the least trustworthy search results and selected the most trustworthy search results significantly less often than participants using a grid interface. Thus, the presentation of Web search results by means of a grid interface seems to support users in their selection of trustworthy information sources.

2010 Germany Tobii eye tracking 1750 web search results list grid evaluation engine trustworthiness HCI Usability

in list: HCI & Usability

ABSTRACT
Web searching for complex information requires to appropriately evaluating diverse sources of information. Information science studies identified different criteria applied by searchers to evaluate Web information. However, the explicit evaluation instructions used in these studies might have resulted in a distortion of spontaneous evaluation processes. Accordingly, the present study compared explicit evaluation instructions and neutral thinking-aloud instructions. Data from thinking-aloud protocols, eye tracking, and information problem-solving were collected from 30 participants equally distributed to two experimental conditions, that is, the Instructed Evaluation condition and the Spontaneous Evaluation condition. Instructed evaluation, as compared to spontaneous evaluation, resulted in more verbal utterances of quality-related evaluation criteria, in an increased attention focus on user ratings displayed on Web pages, and in better quality of decision making, although participants in the Instructed Evaluation condition were not able to better justify their decision as compared to participants in the Spontaneous Evaluation condition.

Germany 2010 Tobii eye tracking 1750 web search evaluation instructed spontaneous attention decision HCI Usability

in list: HCI & Usability

ABSTRACT
Personalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and their contexts, often through implicit sources of evidence such as user behaviors. Task types have been shown to influence search behaviors including usefulness judgments. This paper reports on an investigation of user behaviors associated with different task types. Twenty-two undergraduate journalism students participated in a controlled lab experiment, each searching on four tasks which varied on four dimensions: complexity, task product, task goal and task level. Results indicate regular differences associated with different task characteristics in several search behaviors, including task completion time, decision time (the time taken to decide whether a document is useful or not), and eye fixations, etc. We suggest these behaviors can be used as implicit indicators of the user’s task type.

USA 2010 Tobii eye tracking T60 personalization retrieval search task type determination behavior HCI Usability

in list: HCI & Usability

ABSTRACT
This paper presents a study which examined the selection of Web search results with a gaze-based input device. A standard list interface was compared to a grid and a tabular layout with regard to task performance and subjective ratings. Furthermore, the gaze-based input device was compared to conventional mouse interaction. Test persons had to accomplish a series of search tasks by selecting search results. The study revealed that mouse users accomplished more tasks correctly than users of the gaze-based input device. However, no differences were found between input devices regarding the number of search results taken into account to accomplish a task. Regarding task completion time and ease of search result selection only in the list interface gaze-based interaction was inferior to mouse interaction. Moreover, with a gaze-based input device search tasks were accomplished faster in tabular presentation than in a standard list interface, suggesting a tabular interface as best suited for gaze-based interaction.

Germany 2010 eye Tobii tracking 1750 interaction input search result selection layout HCI Usability

in list: HCI & Usability

ABSTRACT
We investigate how people interact with Web search engine result pages using eye-tracking. While previous research has focused on the visual attention devoted to the 10 organic search results, this paper examines other components of contemporary search engines, such as ads and related searches. We systematically varied the type of task (informational or navigational), the quality of the ads (relevant or irrelevant to the query), and the sequence in which ads of different quality were presented. We measured the effects of these variables on the distribution of visual attention and on task performance. Our results show significant effects of each variable. The amount of visual attention that people devote to organic results depends on both task type and ad quality. The amount of visual attention that people devote to ads depends on their quality, but not the type of task. Interestingly, the sequence and predictability of ad quality is also an important factor in determining how much people attend to ads. When the quality of ads varied randomly from task to task, people paid little attention to the ads, even when they were good. These results further our understanding of how attention devoted to search results is influenced by other page elements, and how previous search experiences influence how people attend to the current page.

USA 2010 Tobii eye tracking X50 user search engine results ad quality related HCI Usability

in list: HCI & Usability

ABSTRACT
A key problem in information retrieval is inferring the searcher's interest in the results, which can be used for implicit feedback, query suggestion, and result ranking and summarization. One important indicator of searcher interest is gaze position - that is, the results or the terms in a result listing where a searcher concentrates her attention. Capturing this information normally requires eye tracking equipment, which until now has limited the use of gaze-based feedback to the laboratory. While previous research has reported a correlation between mouse movement and gaze position, we are not aware of previous work on automatically inferring searcher's gaze position from mouse movement or similar interface interactions. In this paper, we report the first results on automatically inferring whether the searcher's gaze position is coordinated with the mouse position - a crucial step towards predicting the searcher gaze position from the computer mouse movements.

USA 2010 Tobii eye tracking T120 coordination control mouse gaze search behavior results agree HCI Usability

in list: HCI & Usability

ABSTRACT
In certain applications such as radiology and imagery analysis, it is important to minimize errors. In this paper we evaluate a structured inspection method that uses eye tracking information as a feedback mechanism to the image inspector. Our two-phase method starts with a free viewing phase during which gaze data is collected. During the next phase, we either segment the image, mask previously seen areas of the image, or combine the two techniques, and repeat the search. We compare the different methods proposed for the second search phase by evaluating the inspection method using true positive and false negative rates, and subjective workload. Results show that gaze-blocked configurations reduced the subjective workload, and that gaze-blocking without segmentation showed the largest increase in true positive identifications and the largest decrease in false negative identifications of previously unseen objects.

USA 2010 Tobii eye tracking X120 feedback image inspection workload identification visual search HCI Usability

in list: HCI & Usability

ABSTRACT
We investigate how people interact with Web search engine result pages using eye-tracking, to provide a detailed understanding of the patterns of user attention. Previous research has examined the visual attention devoted to the 10 organic search results, and we extend this by also examining how gaze is distributed across other components of contemporary search engines, such as ads and related searches. This provides insights about searcher’s interactions with the ―whole page‖, and not just individual components. In addition, we used clustering techniques to identify groups of individuals, with distinct gaze patterns. The groups varied in how exhaustively they examined the search results and in what regions of the search result page they paid most attention to (organic results vs. ads). These results further our understanding of how attention is distributed across increasingly complex search result pages, and how individuals exhibit distinct patterns of attention and interaction.

USA 2010 Tobii eye tracking X50 Studio Microsoft search engine results page attention interaction patterns HCI Usability

in list: HCI & Usability

ABSTRACT
In this paper we predict the relevance of images based on a lowdimensional feature space found using several users' eye movements. Each user is given an image-based search task, during which their eye movements are extracted using a Tobii eye tracker. The users also provide us with explicit feedback regarding the relevance of images. We demonstrate that by using a greedy Nyström algorithm on the eye movement features of different users, we can find a suitable low-dimensional feature space for learning. We validate the suitability of this feature space by projecting the eye movement features of a new user into this space, training an online learning algorithm using these features, and showing that the number of mistakes (regret over time) made in predicting relevant images is lower than when using the original eye movement features. We also plot Recall-Precision and ROC curves, and use a sign test to verify the statistical significance of our results.

UK 2010 Tobii eye tracking X120 movement relevance images search task feature space HCI Usability

in list: HCI & Usability