Josh has received a SIGCHI Outstanding Dissertation Award. There are only 3 recipients for the best HCI PhD thesis, so this is an outstanding achievement! Congratulations Josh, well deserved!
Josh Andres’ dissertation (Integrated Exertion – Understanding the Design of Human–Computer Integration in an Exertion Context) helps to move human-computer “interaction” to human-computer “integration” by considering the active human body in a user-computer partnership. Josh used design research to investigate how to integrate computational machinery with the active human body to extend the user’s abilities. He exemplified this by designing three eBikes that use three different data types, motion, traffic lights, and EEG (electroencephalography) to integrate with the exerting user and make cycling safer and more engaging.
This research is timely and increasingly ethically important, as integrations between users and computers are gaining potency through technological advances that allow the user and computer to work together more tightly. His work can guide interaction designers on how to, and in an inclusive manner, amplify a person’s sensations of their abilities in an exertion context to create “superpower”, “co-operative” and “symbiotic” human-computer partnerships.
Josh undertook his PhD at the Exertion Games Lab in Melbourne, Australia, with support from Monash University, IBM Research Australia, and RMIT University, and it was co-supervised by Florian’ Floyd’ Mueller, Jürg von Känel and Jonathan Duckworth.
Josh Andres has successfully completed all requirements for his PhD, congratulations!
Josh contributed a novel understanding of how to integrate humans and computational machines via designing better eBikes.
He moves human-computer “interaction” to “integration”, where the computational machine and the human body become active partners. Using design research, he developed three eBikes (controlled by motion, traffic light and EEG data) to demonstrate how his “integration framework” can facilitate more engaging, healthier and safer user experiences.
Andres, J. Integrated Exertion – Understanding the Design of Human–Computer Integration in an Exertion Context. Doctor of Philosophy (PhD) thesis. RMIT University. 2020.
We received a Best Paper Award at CHI PLAY 2020!
This paper received the perfect score of 4x 5.0 from reviewers and was awarded a Best Paper Award:
Matjeka, L., Mueller, F. Designing for Bodily Play Experiences Based on Danish Linguistic Connotations of “Playing a Game”. CHI PLAY 2020. Long paper. ACM. 1-13. Talk video. BEST PAPER AWARD.
We are presenting the following works at CHI PLAY 2020:
Matjeka, L., Mueller, F. Designing for Bodily Play Experiences Based on Danish Linguistic Connotations of “Playing a Game”. CHI PLAY 2020. Long paper. ACM. 1-13. Talk video.
Sargeant, B., Dwyer, J., Mueller, F. Designing for Virtual Touch: A Real-Time Co-Created Online Art Experience. CHI PLAY 2020. Rapid Communication. ACM. 1-6. Video.
We have an internship opportunity to work on interactive food:
Details for candidates (need to be an Australian undergraduate student): https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter/view/_nocache?area=1-Faculty%20of%20Information%20Technology
Please contact us if you have any questions!
Our DIS 2020 papers are now available on the DIS virtual conference website:
La Delfa, J., Baytas, M., Luke, E., Koder, B., Mueller, F. Designing Drone Chi. Designing Interactive Systems Conference. DIS 2020. Pictorial. ACM. 1-12.
Li, Z., Wang, Y., Sheahan, J., Jiang, B., Greuter, S., Mueller, F. InsideOut: Towards an Understanding of Designing Playful Experiences with Imaging Capsules. Designing Interactive Systems Conference. DIS 2020. Long paper. ACM. 1-13. BEST PAPER HONORABLE MENTION.
Wang, Y., Li, Z., Jarvis, B., La Delfa, J., Khot, R., Mueller, F. WeScream!: Toward Understanding the Design of Playful Social Gustosonic Experiences with Ice Cream. Designing Interactive Systems Conference. DIS 2020. Long paper. ACM. 1-13. BEST PAPER HONORABLE MENTION.
There is more and more news coverage coming out on our EEG-connected eBike, including a feature article on ZDNET: https://www.zdnet.com/article/ibm-monash-and-southampton-uni-develop-mind-reading-ebike-to-save-lives/
Ena, our EEG-connected eBike was on national TV news today, on two different channels:
and also slightly longer versions on their Twitter:
A new e-bike is using cyclist's brain power to help keep them out of danger, before they even realise it's there. The futuristic cycle uses a cap to warn the rider of any hazards ahead. @justinemack9 #9News pic.twitter.com/bL9RoDxcm4
— Nine News Melbourne (@9NewsMelb) June 22, 2020
A new bike that reads the cyclists mind could mean a much safer journey. It scans the riders brain detecting danger signals and automatically slowing the bike down. https://t.co/5zYfOfohG3 @TomChadwick_7 #7NEWS pic.twitter.com/XoMQVLNCpr
— 7NEWS Melbourne (@7NewsMelbourne) June 22, 2020
We are on the Front Page (upper-left) of today’s The Age newspaper:
The full article is a double-spread on page 4 and 5:
Congrats Josh and Nathan et al. for their work on Ena, the EEG eBike!