Living Innovation Laboratory Model Design and Implementation

Living Innovation Laboratory (LIL) is an open and recyclable way for multidisciplinary researchers to remote control resources and co-develop user centered projects. In the past few years, there were several papers about LIL published and trying to discuss and define the model and architecture of LIL. People all acknowledge about the three characteristics of LIL: user centered, co-creation, and context aware, which make it distinguished from test platform and other innovation approaches. Its existing model consists of five phases: initialization, preparation, formation, development, and evaluation. Goal Net is a goal-oriented methodology to formularize a progress. In this thesis, Goal Net is adopted to subtract a detailed and systemic methodology for LIL. LIL Goal Net Model breaks the five phases of LIL into more detailed steps. Big data, crowd sourcing, crowd funding and crowd testing take place in suitable steps to realize UUI, MCC and PCA throughout the innovation process in LIL 2.0. It would become a guideline for any company or organization to develop a project in the form of an LIL 2.0 project. To prove the feasibility of LIL Goal Net Model, it was applied to two real cases. One project is a Kinect game and the other one is an Internet product. They were both transformed to LIL 2.0 successfully, based on LIL goal net based methodology. The two projects were evaluated by phenomenography, which was a qualitative research method to study human experiences and their relations in hope of finding the better way to improve human experiences. Through phenomenographic study, the positive evaluation results showed that the new generation of LIL had more advantages in terms of effectiveness and efficiency.Comment: This is a book draf

Collecting data for indoor mapping of the university of Münster via a location based game

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Nowadays the collection of spatial indoor mapping data presents a big challenge for both science and industry because there is not a cost-effective method yet for it as it is for outdoor mapping. Research is pointing out to crowdsourcing as means of address the challenge of massive indoor mapping based on the principle that people should be the main source of information. Therefore the crowd needs a tool that lets them do indoor mapping tasks as well as means of motivation. This project has as its main goal to study the impact of gamification as a motivation factor by implementing and evaluating it in a mobile application aimed for acquisition of indoor spatial data of the buildings of the University of Münster. For this purpose an already existing mobile application was modified to incorporate game elements, thus creating a new version of the app. Three game mechanics were added for the new version of the app: score, leaderboard and conquest map. Once both apps were ready (gamified and original non-gamified) an evaluation was carried out with 28 participants (14 male and 14 female) to assess the impact of game mechanics when users are performing indoor mapping tasks. As a result we may say that the most of participants preferred the gamified application over the non-gamified one, the study also shows that actually men favored the gamified app more than women

Metadata Games: Improving Access to Humanities Artifacts

Our team received Level II Start Up funding to create a pilot of Metadata Games (MG), a software system that uses computer games to collect information about artifacts in libraries and archives as they strive to go digital. Games are useful in that they can entice those who might not visit archives to explore humanities content while contributing to vital records, and they create much more metadata than typical staff can do alone in the same timeframe. The system is open-source and is easily customized to meet each institution’s needs. The full project employs new techniques to make the system smarter and more trustworthy. We will also create new game components. MG can be used to enhance knowledge about artifacts in particular disciplines and fields, or with interdisciplinary collections. MG has the potential to unearth new knowledge that could radically enhance scholarship in the humanities, expanding what records we can encounter in our quest to understand the human experience

Crowdsourcing data collection through mobile gamification : leveraging the freemium model

Classic ways of gathering data on human behavior, such as laboratory based user studies, can be time-consuming, costly and are subject to limited participant pools. Crowdsourcing offers a reduction in operating costs and access to a diverse and large participant pool, however issues arise concerning low worker pay and questions about data quality. Gamification provides a motivation to participate, but also requires the development of specialized, research-question specific games that can be costly to produce. We provide another alternative that combines gamification and crowdsourcing in a smartphone-based system that emulates the popular Freemium model of micro-transactions to motivate voluntary participation through in-game rewards, using a robust framework to study multiple unrelated research questions within the same system. We deployed our prototype framework on the Android market and gathered data over a period of 5 weeks. We compared this data to that gathered from a gamified laboratory version and a non-gamified laboratory version, and found that players who use the in-game rewards were motivated to do experimental tasks. The data showed that there was no difference between the groups for performance on a motor task; however, performance on a cognitive task was worse for the crowdsourced Android group. We discuss the possible reasons for this and provide options for improving data collection and performance on tasks