Frank Hopfgartner

Bio: Frank Hopfgartner is an academic researcher from University of Sheffield. The author has contributed to research in topics: Recommender system & Lifelog. The author has an hindex of 23, co-authored 167 publications receiving 1903 citations. Previous affiliations of Frank Hopfgartner include International Computer Science Institute & Dublin City University.

Strengthening gamification studies: Current trends and future opportunities of gamification research

Abstract: Gamification is now a well-established technique in Human-Computer Interaction. However, research on gamification still faces a variety of empirical and theoretical challenges. Firstly, studies of gamified systems typically focus narrowly on understanding individuals. short-term interactions with the system, ignoring more difficult to measure outcomes. Secondly, academic research on gamification has been slow to improve the techniques through which gamified applications are designed. Third, current gamification research lacks a critical lens capable of exploring unintended consequences of designs. The 14 articles published in this special issue face these challenges with great methodological rigor. We summarize them by identifying three main themes: the determination to improve the quality and usefulness of theory in the field of gamification, the improvements in design practice, and the adoption of a critical gaze to uncover side-effects of gamification designs. We conclude by providing an overview of the questions that we feel must be addressed by future work in gamification. Gamification studies would benefit from a wider use of theories to account for the complexity of human behavior, a more thorough exploration of the many opportunities coming from the world of games, and an ethical reflection on the use of game design elements in serious domains.

The plista dataset

Abstract: Releasing datasets has fostered research in fields such as information retrieval and recommender systems. Datasets are typically tailored for specific scenarios. In this work, we present the plista dataset. The dataset contains a collection of news articles published on 13 news portals. Additionally, the dataset comprises user interactions with those articles. We inctroduce the dataset's main characteristics. Further, we illustrate possible applications of the dataset.

Video browsing interfaces and applications: a review

Abstract: We present a comprehensive review of the state of the art in video browsing and retrieval systems, with special emphasis on interfaces and applications. There has been a significant increase in activity (e.g., storage, retrieval, and sharing) employing video data in the past decade, both for personal and professional use. The ever-growing amount of video content available for human consumption and the inherent characteristics of video data-which, if presented in its raw format, is rather unwieldy and costly-have become driving forces for the development of more effective solutions to present video contents and allow rich user interaction. As a result, there are many contemporary research efforts toward developing better video browsing solutions, which we summarize. We review more than 40 different video browsing and retrieval interfaces and classify them into three groups: applications that use video-player-like interaction, video retrieval applications, and browsing solutions based on video surrogates. For each category, we present a summary of existing work, highlight the technical aspects of each solution, and compare them against each other.

TRECVID 2004 Experiments in Dublin City University

Abstract: In a move away from previous years' participation in TRECVid ((1) (2) (3)), this year our team focused on the instance search task (INS). We improved our system from last year by applying large vocabulary quantization, soft assignment of visual words, spatial verications and query expansion. Overall, four automatic runs have been submitted for evaluation. In this paper, we present rst our system, then we discuss the results and ndings of our experiments.

NTCIR Lifelog: The First Test Collection for Lifelog Research

Abstract: Test collections have a long history of supporting repeatable and comparable evaluation in Information Retrieval (IR). However, thus far, no shared test collection exists for IR systems that are designed to index and retrieve multimodal lifelog data. In this paper we introduce the first test collection for personal lifelog data, which has been employed for the NTCIR12-Lifelog task. In this paper, the requirements for the test collection are motivated, the process of creating the test collection is described, along with an overview of the test collection. Finally suggestions are given for possible applications of the test collection.

Algorithms of Oppression: How Search Engines Reinforce Racism

Abstract: Authored by Dr. Safiya U. Noble, an assistant professor at the University of Southern California Annenberg School of Communication, this text is one of the preeminent works that explicitly addresse...

A Survey on Visual Content-Based Video Indexing and Retrieval

Abstract: Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide. This paper offers a tutorial and an overview of the landscape of general strategies in visual content-based video indexing and retrieval, focusing on methods for video structure analysis, including shot boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video retrieval including query interfaces, similarity measure and relevance feedback, and video browsing. Finally, we analyze future research directions.