scholarly journals Audio-bingeing

2020 ◽  
Vol 35 (83) ◽  
pp. 101-118
Author(s):  
Iben Have ◽  
Mille Raaby Jensen
Keyword(s):  
User Behavior

The article discusses Storytel Original as a hybrid between digital audiobooks and TV-series. Through an interview with Mofibo’s Head of Content & Publishing in Denmark and the production Black Dolphin as a case-study, the article discusses how Storytel Original can be analysed as a TV-series in audio format from a production-, text-, and reception perspective. The first part of the article focuses on how Storytel Originals and Black Dolphin draw on institutional, distributional, narratological, and stylistic conventions known from TV-drama series. In the second part of the article, the reception and user-behavior are discussed in relation to the term bingeing. The article introduces two terms: binge-streaming and audio-bingeing. While the former suggests an extension of the term binge-watching, the latter term, audio-bingeing, narrows the perspective by accentuating specific affordances of audio-series in relation to binge-streaming.

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

Exploring Visitor Perceptions towards Urban Park Design and Levels of Enclosure: A Case Study from the UAE

2021 ◽  
Vol 20 (4) ◽  
pp. 425-443
Author(s):  
Amna Gargoum ◽  
Ali S. Gargoum
Keyword(s):  
United Arab Emirates ◽  
User Behavior ◽  
Green Spaces ◽  
Urban Park ◽  
Field Observations ◽  
Visitor Perceptions ◽  
Al Ain ◽  
Park Design ◽  
Territorial Behaviors

Abstract As cities transition towards urbanization and sustainability, designing attractive green spaces and urban parks is an important issue to planners and urban designers. One factor believed to have some impact on a park’s attractiveness is level of enclosure. Despite the importance of such a factor in identifying types of park visitors and frequency of visits, a limited amount of research has attempted to statistically model impacts of level enclosure on a park’s attractiveness. To address this gap, this article explores impacts of multiple physical characteristics, including levels of enclosure, on park attractiveness and user behavior. Activities in two parks in Al Ain, United Arab Emirates (UAE) were studied using field observations, photography, interviews, and statistical analysis. Field observations were utilized to model people’s attitude while using parks. Logistic regression was employed to the field observations to investigate associations between different factors and park attractiveness. Results indicated levels of enclosure had a direct influence on park users. Gender, age, and ethnicity were also found statistically significant determinates of park visitor attitudes and park choice. Traces of territorial behaviors and social conflicts were also observed.

Website Trust to user online based Shari'ah Model determinant: A Case Study toward user behavior model

2020 ◽  
Author(s):  
Herlino Nanang ◽  
Yusuf Durachman ◽  
Ahmad F. Misman ◽  
Zahidah Zulkifli ◽  
Husni Teja Sukmana ◽  
...  
Keyword(s):  
User Behavior ◽  
Behavior Model

On the Concept of Automatic User Behavior Profiling of Websites

2017 ◽  
Vol 7 (1) ◽  
pp. 1-20
Author(s):  
Abhimanyu Panwar ◽  
Iosif-Viorel Onut ◽  
Michael Smith ◽  
James Miller
Keyword(s):  
User Behavior ◽  
Hidden Markov ◽  
Activity Patterns ◽  
Industrial Case Study ◽  
Log Files ◽  
Behavior Profiling ◽  
Behavior Profiles ◽  
Web Server Logs ◽  
Commercial Environment

User behavior profiling of websites can provide an operator with an estimate of what is actually transpiring on their site. This type of information is essential to keep ahead of the curve in a commercial environment where competition is extremely fierce and continuously evolving. The authors present an automated methodology that uses economically available web server logs to mine User Behavior Profiles (UBP) without adding significant overhead to an existing web system. They prepare user traces from the log files based on the 35 most common actions found on popular websites, and 9 user behavior profiles which describe the majority of current activity patterns identified from those sites. They classify the user trace into a UBP via a Hidden Markov Model (HMM) based classification approach. The authors applied this methodology to the logs of a virtual e-commerce website, and an industrial case study to demonstrate the validity of the proposed approach.

scholarly journals Quantifying the Flexibility of Electric Vehicles in Germany and California—A Case Study

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5617
Author(s):  
Michel Zade ◽  
Zhengjie You ◽  
Babu Kumaran Nalini ◽  
Peter Tzscheutschler ◽  
Ulrich Wagner
Keyword(s):  
Electric Vehicles ◽  
User Behavior ◽  
Renewable Energy Sources ◽  
Early Morning ◽  
Field Trials ◽  
Heat Pumps ◽  
Future Research ◽  
Mobility Data ◽  
The Usa

The adoption of electric vehicles is incentivized by governments around the world to decarbonize the mobility sector. Simultaneously, the continuously increasing amount of renewable energy sources and electric devices such as heat pumps and electric vehicles leads to congested grids. To meet this challenge, several forms of flexibility markets are currently being researched. So far, no analysis has calculated the actual flexibility potential of electric vehicles with different operating strategies, electricity tariffs and charging power levels while taking into account realistic user behavior. Therefore, this paper presents a detailed case study of the flexibility potential of electric vehicles for fixed and dynamic prices, for three charging power levels in consideration of Californian and German user behavior. The model developed uses vehicle and mobility data that is publicly available from field trials in the USA and Germany, cost-optimizes the charging process of the vehicles, and then calculates the flexibility of each electric vehicle for every 15 min. The results show that positive flexibility is mostly available during either the evening or early morning hours. Negative flexibility follows the periodic vehicle availability at home if the user chooses to charge the vehicle as late as possible. Increased charging power levels lead to increased amounts of flexibility. Future research will focus on the integration of stochastic forecasts for vehicle availability and electricity tariffs.

scholarly journals Analysis of Electricity User Behavior: Case Study Based on Results from Extended Household Survey

2015 ◽  
Vol 72 ◽  
pp. 79-86 ◽  
Author(s):  
Liga Poznaka ◽  
Ilze Laicane ◽  
Dagnija Blumberga ◽  
Andra Blumberga ◽  
Marika Rosa
Keyword(s):  
User Behavior ◽  
Household Survey
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