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In this study, we examine whether perceived news credibility is affected when reading news in a foreign language. In addition, we investigate whether a possible effect might be the result of (a) the attenuation of emotional responses in a foreign ...

An increasing body of research indicates that transparency in recommender systems affects trust of users. Additionally, a vast amount of studies already showed that personality impacts the way users perceive a recommender system. However, only recently, ...

While software tools can be very powerful, a one-size-fits-all approach does not work because individual needs vary over time. Co-Adapt is a software framework that learns from user activity and adjusts the interface in real time to suit changing needs. ...

Trying to understand a player's characteristics with regards to a computer game is a major line of research known as player modeling. The purpose of player modeling is typically the adaptation of the game itself. We present two studies that extend ...

Recommender systems have been increasingly used in online services that we consume daily, such as Facebook, Netflix, YouTube, and Spotify. However, these systems are often presented to users as a "black box", i.e. the rationale for providing individual ...

One of the problems adaptive interfaces must solve is the issue of stability---users must be able to complete a familiar task reliably. Split Adaptive Interfaces, where a limited part of the screen contains copies of the interface elements predicted to ...

Player behavior during game play can be used to construct player models that help adapt the game and make it more fun for the player involved. Similarly in-game behavior could help model personality traits that describe people's attitudes in a fashion ...

People involved in business are increasingly aware of the online social phenomenon and its potential as a marketing tool. Building upon the marketing, social psychology, and information system literature, this study empirically examines a set of ...

The purpose of this study is to investigate the extent to which two theories, Information Scent and Need for Cognition, explain people's search behaviors when interacting with search engine results pages (SERPs). Information Scent, the perception of the ...

We investigate creating a predictive model that increases accuracy in personality prediction of social media and social network site users through a multidisciplinary pilot analysis. We present a novel method for increasing personality prediction ...

Human assessments of document relevance are needed for the construction of test collections, for ad-hoc evaluation, and for training text classifiers. Showing documents to assessors in different orderings, however, may lead to different assessment ...

User experience research has made considerable progress in understanding subjective experience with interactive technology. Nevertheless, we argue, some blind spots have remained: individual differences are frequently ignored, the prevalent measures of ...

At two European universities providing technical and general computing education, we conducted a survey of undergraduate and graduate student experiences with final thesis work. We focused on the needs of students, role of their supervisor, and ...

Participants sometimes rate products high in usability despite experiencing obvious usability problems (low effectiveness or efficiency). Is it possible that this occurs because high product attractiveness compensates for low effectiveness/efficiency? ...

This paper presents an empirical examination on the role of framing as a persuasion technique in agent-to-human negotiations. The primary hypothesis was that when a software agent frames the same offer in different ways it will have different ...

Online merchants use personalization technologies to gain knowledge of an individual customer and then generate preference-matched web content for the customer. Among the various types of personalization technologies, this research focuses on ...

This paper investigates the influence of interface styles on problem solving performance. It is often assumed that performance on problem solving tasks improves when users are assisted by externalizing task-related information on the interface. Although ...