Creative Technologist intern with a team of 3~4 designers and 1 cognitive scientist at Siemens Corporate Research.
Apr 2014 – Sept 2014 (6 months)
■ Development: Java, Android, Wi-Fi Direct (UDP/TCP), Bluetooth, Multimedia
■ Design: Use Scenario, Task Analysis, Brainstorming, Wizard-of-Oz Prototyping
■ Science: Experimental Design, Statistical Analysis
I cannot publicly share actual screenshots, wireframes, pictures, or any information revealing the interaction details, since I am subject to a non-disclosure agreement to protect Siemens's confidential information. My Master’s thesis is available upon request.
Problem: Current software for field service is poorly integrated within the field engineers’ workflow, forcing them to stop their work to retrieve and input information.
Solution: With a team of designers and cognitive scientists, we researched, ideated, designed, and prototyped applications to improve the quality and efficiency of field services using wearable technology. I was responsible for all the implementation of our prototypes, which involved interconnecting multiple wearable devices such as Google Glass, an armband for hand-gesture control, and a ring for finger-gesture control.
Outcomes: We demoed our prototypes to major stakeholders of the transport industry—including Siemens's top management team—at Innotrans 2014, the world’s largest trade fair for transport technology. I was also the main contributor to a controlled experiment that showed significant effects of eye-wearable technology (such as Google Glass) on the performance of machine maintenance. I wrote my Master’s thesis on this experiment and we submitted a paper to CHI 2015.
Very few systematic studies have been done to understand the advantages and drawbacks of eye-wearable technology such as Google Glass.
We conducted a controlled experiment to reveal what characteristics of eye-wearable technology impact user performance in maintenance tasks.
I was a major player in creating the experimental design, implementing the prototypes and the back-end system to collect the data, running the experiment, analyzing the data, and reporting the results.
We obtained significant results, showing amongst others that peripheral displays yielded significantly longer completion times than central displays, leading to human factors implications for designing more effective eye-wearable technology.