Eye Tracking the Use of a Collapsible Facets Panel in a Search Interface

Abstract. Facets can provide an interesting functionality in digital libraries. However, while some research shows facets are important, other research found facets are only moderately used. Therefore, in this exploratory study we compare two search interfaces; one where the facets panel is always visible and one where the facets panel is hidden by default. Our main research question is “Is folding the facets panel in a digital library search interface beneficial to academic users?” By performing an eye tracking study with N=24, we measured search efficiency, distribution of attention and user satisfaction. We found no significant differences in the eye tracking data nor in usability feedback and conclude that collapsing facets is neither beneficial nor detrimental

PoliMedia - Improving Analyses of Radio, TV & Newspaper Coverage of Political Debates

Abstract. Analysing media coverage across several types of media-outlets is a challenging task for academic researchers. The PoliMedia project aimed to showcase the potential of cross-media analysis by linking the digitised transcriptions of the debates at the Dutch Parliament (Dutch Hansard) with three media-outlets: 1) newspapers in their original layout of the historical newspaper archive at the National Library, 2) radio bulletins of the Dutch National Press Agency (ANP) and 3) newscasts and current affairs programs from the Netherlands Institute for Sound and Vision. In this paper we describe generally how these links were created and we introduce the PoliMedia search user interface developed for scholars to navigate the links. In evaluation it was found that the linking algorithm had a recall of 67% and precision of 75%. Moreover, in an eye tracking evaluation we found that the interface enabled scholars to perform known-item and exploratory searches for qualitative analysis

Who are the users of a video search system?

ABSTRACT Formulating requirements for a video search system can be a challenging task when everyone is a possible user. This paper explores the possibilities of classifying users by creating a Profile Matrix, placing users on two axes: experience and goal-directedness. This enables us to describe the characteristics of the subgroups and investigate differences between the different groups. We created Profile Matrices by classifying 850 respondents of a survey regarding a requirements study for a video search system. We conclude that the Profile Matrix indeed enables us to classify subgroups of users and describe their characteristics. The current research is limited to descriptions of subgroups and analysis of differences between these subgroups. In the future, we want to research what these differences mean with regard to the users’ performance and acceptance of a video search system and explore the use of a profile matrix for other types of search systems

Dutch Journalism in the Digital Age

With an ever-growing supply of online sources, information to produce news stories seems to be one mouse click away. But in what way do Dutch journalists actually use computer-aided research tools? This article provides an inventory of the ways journalists use digital (re)sources and explores the differences between experts and novices. We applied a combined methodological approach by conducting an ethnographic study as well as a survey. Results show that Dutch journalists use relatively few digital tools to find online information. However, journalists who can be considered experts in the field of information retrieval use a wider range of search engines and techniques, arrive quicker at the angle to their story, and are better at finding information related to this angle. This allows them to spend more time on writing their news story. Novices are more dependent on the information provided by others

State of the field: digital history

Computing and the use of digital sources and resources is an everyday and essential practice in current academic scholarship. The present article gives a concise overview of approaches and methods within digital historical scholarship, focussing on the question: How have the Digital Humanities evolved and what has that evolution brought to historical scholarship? We begin by discussing techniques in which data are generated and machine searchable, such as OCR/HTR, born-digital archives, computer vision, scholarly editions, and Linked Data. In the second section, we provide examples of how data is made more accessible through quantitative text and network analysis. We close with a section on the need for hermeneutics and data-awareness in digital historical scholarship. The technologies described in this article have had varying degrees of effect on historical scholarship, usually in indirect ways. For example, technologies such as OCR and search engines may not be directly visible in a historical argument; however, these technologies do shape how historians interact with sources and whether sources can be accessed at all. It is with this article that we aim to start to take stock of the digital approaches and methods used in historical scholarship which may serve as starting points for scholars to understand the digital turn in the field and how and when to implement such approaches in their work

The AXES research video search system

We will demonstrate a multimedia content information retrieval engine developed for audiovisual digital libraries targeted at academic researchers and journalists. It is the second of three multimedia IR systems being developed by the AXES project1. The system brings together traditional text IR and state-of-the-art content indexing and retrieval technologies to allow users to search and browse digital libraries in novel ways. Key features include: metadata and ASR search and filtering, on-the-fly visual concept classification (categories, faces, places, and logos), and similarity search (instances and faces)

Eye Tracking the Use of a Collapsible Facets Panel in a Search Interface

Facets can provide an interesting functionality in digital libraries. However, while some research shows facets are important, other research found facets are only moderately used. Therefore, in this exploratory study we compare two search interfaces; one where the facets panel is always visible and one where the facets panel is hidden by default. Our main research question is “Is folding the facets panel in a digital library search interface beneficial to academic users?” By performing an eye tracking study with N=24, we measured search efficiency, distribution of attention and user satisfaction. We found no significant differences in the eye tracking data nor in usability feedback and conclude that collapsing facets is neither beneficial nor detrimental. This dataset contains the eye tracking data and user satisfaction data

Who are the users of a video search system? Classifying a heterogeneous group with a Profile Matrix

Formulating requirements for a video search system can be a challenging task when everyone is a possible user. This paper explores the possibilities of classifying users by creating a Profile Matrix, placing users on two axes: experience and goal-directedness. This enables us to describe the characteristics of the subgroups and investigate differences between the different groups. We created Profile Matrices by classifying 850 respondents of a survey regarding a requirements study for a video search system. We conclude that the Profile Matrix indeed enables us to classify subgroups of users and describe their characteristics. The current research is limited to descriptions of subgroups and analysis of differences between these subgroups. In the future, we want to research what these differences mean with regard to the users’ performance and acceptance of a video search system and explore the use of a profile matrix for other types of search systems

Just Google It - Digital Research Practices of Humanities Scholars

The transition from analog to digital archives and the recent explosion of online content offers researchers novel ways of engaging with data. The crucial question for ensuring a balance between the supply and demand-side of data, is whether this trend connects to existing scholarly practices and to the average search skills of researchers. To gain insight into this process a survey was conducted among nearly three hundred (N= 288) humanities scholars in the Netherlands and Belgium with the aim of finding answers to the following questions: 1) To what extent are digital databases and archives used? 2) What are the preferences in search functionalities 3) Are there differences in search strategies between novices and experts of information retrieval? Our results show that while scholars actively engage in research online they mainly search for text and images. General search systems such as Google and JSTOR are predominant, while large-scale collections such as Europeana are rarely consulted. Searching with keywords is the dominant search strategy and advanced search options are rarely used. When comparing novice and more experienced searchers, the first tend to have a more narrow selection of search engines, and mostly use keywords. Our overall findings indicate that Google is the key player among available search engines. This dominant use illustrates the paradoxical attitude of scholars toward Google: while transparency of provenance and selection are deemed key academic requirements, the workings of the Google algorithm remain unclear. We conclude that Google introduces a black box into digital scholarly practices, indicating scholars will become increasingly dependent on such black boxed algorithms. This calls for a reconsideration of the academic principles of provenance and context