Cinema-going trajectories in the digital age

The activity of cinema-going constantly evolves and gradually integrates the use of digital data and platforms to become more engaging for the audiences. Combining methods from the fields of Human Computer Interaction and Film Studies, we conducted two workshops seeking to understand cinema audiences’ digital practices and explore how the contemporary cinema-going experience is shaped in the digital age. Our findings suggest that going to the movies constitutes a trajectory during which cinemagoers interact with multiple digital platforms. At the same time, depending on their choices, they construct unique digital identities that represent a set of online behaviours and rituals that cinemagoers adopt before, while and after cinema-going. To inform the design of new, engaging cinemagoing experiences, this research establishes a preliminary map of contemporary cinema-going including digital data and platforms. We then discuss how audiences perceive the potential improvement of the experience and how that would lead to the construction of digital identities

Wordlength Optimization With Complexity-And-Distortion Measure

Many digital signal processing algorithms are first developed in floating point and later mapped into fixed point for digital hardware implementation. During this mapping, wordlengths are searched to minimize total hardware cost and maximize system performance. Complexity and distortion measures have been separately researched for optimum wordlength selection. This paper proposes a complexityand -distortion measure (CDM) method that combines these two measures. The CDM method trades off these two measures using a weighting factor. The proposed method is applied to wordlength design of a fixed broadband wireless demodulator. For this case study, the proposed method finds the optimal solution in one-third the time that exhaustive search takes. The contributions of this paper are (1) a generalization of search methods based on complexity or distortion measures, (2) a framework of automatic wordlength optimization, and (3) a wireless demodulator case study

TOWARD BEHAVIORAL MODELING OF ALASKA GROUNDFISH FISHERIES: A DISCRETE CHOICE APPROACH TO BERING SEA/ALEUTIAN ISLANDS TRAWL FISHERIES

"This article implements a discrete choice model of fishery participation in the multispecies trawl fisheries of the Bering Sea/Aleutian Islands Region off Alaska. Nonparametric estimates of the operation-specific moments of quasirent by fishery and week are used to explain probabilities of choosing different target fisheries. There are pronounced risk aversion, seasonal, and relative performance effects. Notably, the model runs with regularly collected data, so this type of discrete choice modeling can be used routinely in the management and policy evaluation process. Improvements are needed, though, in both the quality and the extent of economic data on fisheries in Alaska and elsewhere in the United States. (JEL" Q22, C25, Q28) Copyright 1999 Western Economic Association International.