Logo des Repositoriums

Auflistung nach Schlagwort "smartphone"

1 - 5 von 5
  • Konferenzbeitrag
    Comparing the Effectiveness and Ergonomics of Smartphone-Based Gamepads
    (Proceedings of Mensch und Computer 2024, 2024) Wührl, Christoph; Schmid, Andreas; Hößl, Sabrina; Wimmer, Raphael
    Even though smartphones offer a broad design space for being used as input devices for video games, their form factor makes them less ergonomic than physical gamepads. Previous research suggests that customizable controller layouts and added haptic feedback can improve the quality of smartphone-based gamepads. However, there are no rigorous user studies comparing different types of smartphone controllers to each other. In this paper, we present results of a user study in which we compared three different smartphone-based gamepads: a smartphone controller with a standard layout, a customizable smartphone controller, and a smartphone controller with a haptic case. Additionally, we included a physical gamepad as a reference in our study. Participants used the different controllers to play a racing game and complete pointing tasks. We found that the physical gamepad outperforms smartphone-based controllers in terms of efficiency, but there was no significant difference in effectiveness. Furthermore, our qualitative findings open up design considerations for future improvements of smartphone-based game controllers.
  • Zeitschriftenartikel
    DesPat: Smartphone-Based Object Detection for Citizen Science and Urban Surveys
    (i-com: Vol. 20, No. 2, 2021) Getschmann, Christopher; Echtler, Florian
    Data acquisition is a central task in research and one of the largest opportunities for citizen science. Especially in urban surveys investigating traffic and people flows, extensive manual labor is required, occasionally augmented by smartphones. We present DesPat, an app designed to turn a wide range of low-cost Android phones into a privacy-respecting camera-based pedestrian tracking tool to automatize data collection. This data can then be used to analyze pedestrian traffic patterns in general, and identify crowd hotspots and bottlenecks, which are particularly relevant in light of the recent COVID-19 pandemic. All image analysis is done locally on the device through a convolutional neural network, thereby avoiding any privacy concerns or legal issues regarding video surveillance. We show example heatmap visualizations from deployments of our prototype in urban areas and compare performance data for a variety of phones to discuss suitability of on-device object detection for our usecase of pedestrian data collection.
  • Konferenzbeitrag
    Investigating the adoption of smartphone apps in crop protection
    (40. GIL-Jahrestagung, Digitalisierung für Mensch, Umwelt und Tier, 2020) Michels, Marius; Bonke, Vanessa; Mußhoff, Oliver
    Based on an online survey of 207 German farmers conducted in 2019, we investigated farmers’ adoption decision for crop protection smartphone apps based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework applying partial least squares equation modelling and a binary logit model. Descriptive results show that 95 % of the surveyed farmers use a smartphone, but only 71 % use a crop protection smartphone app. Apps providing information about weather, pest scouting and infestations forecasts are perceived as most useful by the majority of farmers. However, reported use fell short of reported usefulness. All hypotheses of the UTAUT model could be verified. 73 % of the variation in the behavioral intention to use a crop protection smartphone app and 50 % of the variation in the actual adoption is explained by the model.
  • Konferenzbeitrag
    Jazz in der Stadt und Rock auf der Autobahn - von der kollaborativen zur kollaborativ-kontextorientierten Musikempfehlung
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2015, 2015) Helmholz, Patrick; Robra-Bissantz, Susanne
    Das Smartphone ist mittlerweile ein ständiger Begleiter in unserer Gesellschaft geworden. Die Nutzer fühlen sich jedoch zunehmend belästigt von zu vielen Angeboten, Informationen und Hinweisen, die sie täglich erreichen. Eine Bedarfsanpassung in Form von Personalisierung und Kontextbezug nimmt dementsprechend bei mobilen Diensten eine immer wichtigere Rolle ein. Kontextorientierung bildet heutzutage einen Schwerpunkt im Ubiquitous Computing und geht einher mit der extensiven Nutzung von Sensordaten.
  • Konferenzbeitrag
    Timing of Smartphone Adoption in German Agriculture – Who are the Early Adopters?
    (41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten, 2021) Michels, Marius; Bonke, Vanessa; Mußhoff, Oliver
    Smartphones suit several on-farm operational activities and farmers’ daily working routine very well due to their mobility, high computing power and ability to install (agricultural) apps as needed. However, no study has yet focused on factors affecting the timing of adoption. Understanding the timing of a technology adoption and identifying characteristics of early and late adopters is consequently of great relevance to further anticipate the innovation diffusion process. The aim of this study is therefore to analyze the timing of smartphone adoption by applying a tobit regression model to a data set of 207 German farmers collected in 2019. Regression results show that, among other factors, farmers’ age and risk attitude affect the timing of smartphone adoption.