CyclingHCI: A CHI 2024 Workshop
Learning from Cycling: Discovering Lessons Learned from CyclingHCI
Submit positions papers here.
Cycling is a trending activity of sustainable mobility, rehabilitation, and leisure. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to, ultimately, promote the use of interactive technology to get more people cycling, profiting from the many associated benefits.
This workshop is a follow-up to the Cycling@CHI workshop held in 2021, which gathered over 35 online participants. For this version, we aim to collect, discuss and explore the grand challenges of cycling in HCI. The workshop will achieve this goal through discussions and presentations of workshop attendees during indoor and outdoor sessions. While many challenges of cycling in HCI are going to be contributed by the attendees with their workshop proposals, we defined some of them to create the core of the workshop:
- A lack of theories, tools, and perspectives for developing and designing technologies for cycling.
- Limited knowledge about designing for inclusive cycling, e.g., elderly, children, people with disabilities.
- Shortage of evaluation methods and environments regarding how to evaluate experiential/societal effects of designs, qualitatively and quantitatively.
This workshop will be held in hybrid mode as part of the CHI 2024 conference. We aim to bring together and build a research community around the topic of cyclingHCI.
POSITION PAPER SUBMISSION
Learning from Cycling: Discovering Lessons Learned from CyclingHCI
For this one-day workshop, we invite submissions that illustrate and discuss lessons learned to promote new opportunities for CyclingHCI. This workshop aims to identify lessons learned as an effort from the community collect and discuss points that researchers, developers, and designers faced when developing and evaluating new cycling systems. The submissions will be 2-4 pages long in the CHI Extended Abstract format or a pictorial showcasing a learned lesson visually. They should include at least one lesson learned from CyclingHCI with a clear justification for why it is relevant to the HCI community and a vision of how this lesson learned can advance the future of CyclingHCI. The submissions are due on February 29, 2024 (AoE). We will select participants based on the requirement of presenting at least one lesson learned and a vision of how it can advance the field of CyclingHCI. We will send out a notification to future authors by March 24, 2024. At least one author of each accepted submission must attend the workshop, and all participants must register for both the workshop and at least one day of the conference.
For position paper submissions, we use easychair:
https://easychair.org/my/conference?conf=learningfromcycling2
Please use this template (or the Word version for short papers from the CHI’24 website). Position papers do not need to be anonymized.
ORGANIZERS
ANDRII MATVIIENKO, KTH Royal Institute of Technology, Sweden & Exertion Games Lab, Department of Human-Centred Computing, Monash University, Melbourne, Australia
MARIO BOOT, University of Twente, Netherlands
PHILIPP WINTERSBERGER, University of Applied Sciences Upper Austria, Austria and Technical University, Wien, Austria
ANDREAS LÖCKEN, Technische Hochschule Ingolstadt, Germany
BASTIAN PFLEGING, TU Bergakademie Freiberg, Germany
MARKUS LOECHTEFELD, Aalborg University, Denmark
TAMARA VON SAWITZKY, Technische Hochschule Ingolstadt, Germany and Johannes Kepler University, Austria
GIAN-LUCA SAVINO, University of St. Gallen, Switzerland
MIRIAM STURDEE, University of St Andrews, St Andrews, United Kingdom
JOSH ANDRES, The Australian National University, Australia
KRISTY ELIZABETH BOYER, Computer & Information Science & Engineering, University of Florida, Gainesville, Florida, United States
STEPHEN BREWSTER, University of Glasgow, United Kingdom
FLORIAN ’FLOYD’ MUELLER, Exertion Games Lab, Department of Human-Centred Computing, Monash University, Melbourne, Australia