Recent advances in artificial intelligence (AI) enabled digital assistants to evolve towards proactive user support. However, expectations as to when and to what extent assistants should take the initiative are still unclear; discrepancies to the actual system behavior might negatively affect user acceptance. In this paper, we present an in-the-wild study for exploring user expectations of such user-supporting AI systems in terms of different proactivity levels and use cases. We collected 3,168 in-situ responses from 272 participants through a mixed method of automated user tracking and context-triggered surveying. Using a data-driven approach, we gain insights into initial expectations and how they depend on different human factors and contexts. Our insights can help to design AI systems with varying degree of proactivity and preset to meet individual expectations.
In this paper, we investigate the protective effect of smart street lighting on public safety. Smart lights have a variety of features, such as video surveillance or gunshot detection. Some of these features can have a deterrent effect on crime. Other features, however, such as adaptive brightness control, may also encourage crime. Using a comprehensive dataset on the crimes committed in downtown San Diego (CA) during 1st May 2017 and 30th April 2018, we investigate the crime rates a priori and posterior to the installation of smart lights in this area. The results of the empirical analysis suggest that smart lights have a statistically significant negative impact on crime and that their installation increases the safety of citizens.
The mobile games business is an ever-increasing sub-sector of the entertainment industry. Due to its high profitability but also high risk and competitive atmosphere, game publishers need to develop strategies that allow them to release new products at a high rate, but without compromising the already short lifespan of the firms' existing games. Successful game publishers must enlarge their user base by continually releasing new and entertaining games, while simultaneously motivating the current user base of existing games to remain active for more extended periods. Since the core-component reuse strategy has proven successful in other software products, this study investigates the advantages and drawbacks of this strategy in mobile games. Drawing on the widely accepted Product Life Cycle concept, the study investigates whether the introduction of a new mobile game built with core-components of an existing mobile game curtails the incumbent's product life cycle. Based on real and granular data on the gaming activity of a popular mobile game, the authors find that by promoting multi-homing (i.e., by smartly interlinking the incumbent and new product with each other so that users start consuming both games in parallel), the core-component reuse strategy can prolong the lifespan of the incumbent game.
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