We asked whether and how people appreciate ambiguous artworks and examined the possible mechanisms underlying the appeal of perceptual challenge in art. Although experimental research has shown people’s particular appreciation for highly familiar and prototypical objects that are fluently processed, there is increasing evidence that in the arts people often prefer ambiguous materials which are processed less fluently. Here, we empirically show that modern and contemporary ambiguous artworks evoking perceptual challenge are indeed appreciated. By applying a multilevel modeling approach together with multidimensional measurement of aesthetic appreciation, we revealed that the higher the subjectively perceived degree of ambiguity within an artwork, the more participants liked it and the more interesting and affecting it was for them. These dimensions of aesthetic appreciation were also positively related to the subjectively reported strength of insights during elaboration of the artworks. The estimated solvability of the experienced ambiguity, in contrast, was not relevant for liking and even negatively linked to interest and affect. Consequently, we propose a critical view of the frequently reported idea that processing (modern) art simply equals a kind of problem solving task. We suggest the dynamic gain of insights during the elaboration of an ambiguous artwork, rather than the state of having solved a problem, to be a mechanism possibly relevant to the appeal of challenge in the perception of ambiguous art.
Information systems success and failure are among the most prominent streams in IS research. Explanations of why some IS fulfill their expectations, whereas others fail, are complex and multi-factorial. Despite the efforts to understand the underlying factors, the IS failure rate remains stubbornly high. A Panel session was held at the IFIP Working Group 8.6 conference in Bangalore in 2013 which forms the subject of this Special Issue. Its aim was to reflect on the need for new perspectives and research directions, to provide insights and further guidance for managers on factors enabling IS success and avoiding IS failure. Several key issues emerged, such as the need to study problems from multiple perspectives, to move beyond narrow considerations of the IT artifact, and to venture into underexplored organizational contexts, such as the public sector.
"As the number of messages and social relationships embedded in social networking sites (SNS) increases, the amount of social information demanding a reaction from individuals increases as well. We observe that, as a consequence, SNS users feel they are giving too much social support to other SNS users. Drawing on social support theory, we call this negative association with SNS usage ""social overload"" and develop a latent variable to measure it. We then identify the theoretical antecedents and consequences of social overload and evaluate the social overload model empirically using interviews with twelve and a survey of 571 Facebook users.
The results show that extent of usage, number of friends, subjective social support norms, and type of relationship (online-only vs. offline friends) are factors that directly contribute to social overload while age has only an indirect effect. The psychological and behavioral consequences of social overload include feelings of SNS exhaustion by users, low levels of user satisfaction, and a high intention to reduce or even stop using SNS. The resulting theoretical implications for social support theory and SNS acceptance research are discussed and practical implications for organizations, SNS providers, and SNS users are drawn."