A/Prof. Dr. Artur Lugmayr

Search and Rescue (SAR) activities involve missions to rescue people that are lost or in danger as e.g. at sea. Today, still- and video-camera technologies e.g. mounted on drones, are increasingly being used to capture views that may not easily be accessible. To conduct user tests of different image presentations, we […]

Overal Project Goals

According the Government of Western Australia, 97% of businesses are classified as small, with a share of 25% as micro (1-4 staff) and 10% small (5-19 staff), in numbers, 78.000 companies employ between 1-19 staff members. These combined contribute to 40 bn to the economy, and 20% to the gross state product (see [here]). In contrast to large scale corporations, SMEs require students with broader skill sets and graduate attributes than larger scale corporations. Due to mostly limited available resources, for these companies it is rather hard to collaborate with universities in teaching and research. To overcome this shortcoming, CuCo.Create (C3) aims to identify a model to co-create with SMEs and integrate these into a teaching environment to gain access to future employees, the creative talent of students, or which help them to become entrepreneurs.

The project has three primary goals:

• the importance of making students ready for SMEs or self-employment;
• necessity of developing soft-skills and employability attributes;
• innovative approaches in cross-disciplinary work.

→ read “Curtin Co-Create (C3): Making Students Ready for SMEs and Self-Employment”

Gathering and interpreting usability data from distributed sensor networks is a rather challenging task. The tool is capable for recording, archiving, analysing, and interpreting sensor data from User eXperience (UX) experiments and is freely available to the community. Take your smart city, urban informatics, smart living, audience research project to the next level with The UX-Machine.

• Curtin Commercial Award Winner, Humanities Price, 2017: UX-Machine to Analyse Human Emotions
• Software & Algorithm Development: Artur Lugmayr
• Authors: Artur Lugmayr, Stuart Bender
• Publications:
  • Lugmayr, A. & Bender, S., 2016a. Free UX Testing Tool: The LudoVico UX Machine for Physiological Sensor Data Recording, Analysis, and Visualization for User Experience Design Experiments. In Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. SEACHI 2016. San Jose, CA, USA: ACM, pp. 36–41. Available at: http://doi.acm.org/10.1145/2898365.2899801.
  • Artur Lugmayr, Adam Grenfeld, and Danjing Joy Zhang, “Selected Advanced Data Visualizations: ‘The UX-Machine’, Cultural Visualisation, Cognitive Big Data, and Communication of Health and Wellness Data,” in Proceedings of the 26th International Conference on World Wide Web Companion, WWW ’17 Companion (Perth, Australia: International World Wide Web Conferences Steering Committee, 2017), 247–251, https://doi.org/10.1145/3041021.3059213.

→ read “The UX-MACHINE: Emotion Sensor Data Analysis Plattform”