Software

TIIM aims to provide researchers with the capability to study participants long-term or repeatedly and present them with stimuli or measurement items based on a schedule or pre-determined conditions. TIIM allows researchers to create sets of questionnaires and present them to participants based on a schedule or conditions. TIIM studies can be adapted to individual participants thanks to item routing and questionnaire conditions. 

Career Compass (CC) is a web application that collects information from STEM students and professionals. Its purpose is to determine a participant’s (future) professional identity based on questions that are structured in five categories: participant’s goals, values, personality, competencies, and interests. When the participant answers the questions, they will receive personalised feedback about their personality and profile. You can read more about the purpose and use of Career Compass on the website of the research team.

Researchers at UT have tried to distil the origins and measurable impact of nature and apply it where it matters most. The Virtual Nature concept is the result of their research and supports organisations and individuals to create a beneficial or 'healing' environment in their buildings, homes and offices. You can easily tailor the virtual nature environments and it allows for designing virtual nature environments with systematic manipulations of multiple nature characteristics. 

Often researchers conduct longer recorded interviews to collect data for their studies. The Audio Playground provides an accessible audio transcription, coding and analysis tool for longer interviews. Researchers can upload transcribed JSON files from other tools to the transcription tool and manually refine them when needed. Additionally, the Audio Playground offers the opportunity for in-depth analysis with statistics. The coder tool allows codifying of the interviews up to millisecond precision. 

ScriBe is a media playground app where you can visualise and analyse your data. You use your media file (mp3 or mp4) to get an insight into the data by choosing, for example, transcription or diarisation. Because of the modularity of the application, it is an ecosystem rather than just an application. You can work with us to add a service, such as a specific machine learning model, to modulate the visualisation and analysis data to your needs.