Auflistung nach Schlagwort "User effort"
1 - 2 von 2
Treffer pro Seite
Sortieroptionen
- ZeitschriftenartikelDoes the Framing of Progress Towards Virtual Rewards Matter?(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Kundisch, Dennis; Rechenberg, TobiasA natural experiment on a popular German Question & Answer community is used to find out whether the small-area hypothesis applies to user activation by means of a virtual reward in the form of badges. Koo and Fishbach’s small-area hypothesis posits that individuals in pursuit of a goal are more highly motivated when focusing on the smaller percentage of progress towards their goal, irrespective of whether this figure represents the actions already completed or those still remaining. Consistent with the authors’ theoretical predictions, the study finds empirical evidence for the small-area effect and its activating power, translated here into increased online user contributions. Besides contributing to the literature with an empirical study anchored in theory, the findings have direct practical implications for designers of online virtual reward systems by suggesting more effective (and motivating) ways of framing user progress towards virtual rewards.
- KonferenzbeitragEvaluation of Users‘ Effort in a Human-computer Cooperation based Indoor Mobile Location System(Mensch und Computer 2018 - Tagungsband, 2018) Zeng, Limin; Noeres, Tino; Weber, GerhardDue to the utilization of existing infrastructure and powerful mobile devices, many different indoor localization systems have been booming in recent years. However, most of those systems very focus on technical issues, a few studies investigate usability issues from users’ perspective. In this paper, we conduct a case study with 18 participants to study how many effort (e.g., physical and mental workload) users would spend in a human-computer cooper-ation indoor positioning system. To support the study, we develop a Google Tango tablet based infrastructure-free indoor positioning system, by mapping users’ walking trajectory and environmental features. Through the evaluation, we confirm that the workload increas-es as the increase of required walking distance, specifically for the physical and temporal demands. While positioning in an infrastructure-free environment, the participants were willing to contribute and would walk maximum 50 meters with their mobile devices.