This is an academic, @TheOfficialACM conference focused on interfaces and interactions in automotive applications. As you can imagine, a great focus is placed on vehicle automation
"Investigating the Effect of Tactile Input & Output Locations for Drivers' Hands on In-car Tasks Performance" Dong-Bach Vo, @SABrewster
💡The L-hand is more sensitive to tactile feedback in R-handed ppl, &steering wheel interaction > center console @ <mental workload #AutoUI2020
"Sick of Scents: Investigating Non-invasive Olfactory Motion Sickness Mitigation in Automated Driving" @ClemensScharti@AndreasRiener
💡Ginger & lavender scents applied to reduce motion sickness but it had an adverse effect instead. Electrogastrography data utilized #AutoUI2020
"Foresight Safety: Sharing Drivers’ State among Connected Road Users" Poster by Pretto & Trösterer et al.
💡Proposed driver state sharing among vehicles (V2V) i.e. V1 driver is alerted to a distracted driver in V2 who may pose a collision risk #AutoUI2020
"We need to think ab innovation for ALL road users (the socially excluded: low income individuals, elderly, disabled, etc.). We must dev new research methods to serve these groups, otherwise automation will not be an option for those who need it most." - @NatashaMerat#AutoUI2020
"Roadmanship stands for a combination of safety and comfort. How do we design [vehicle HMIs/behaviors] that make not only the driver, but also the other road users around them feel comfortable?" - Dr. John Lenneman #AutoUI2020
"Effects of Anger and Display Urgency on Takeover Performance in Semi-automated Vehicles" Harsh Kamalesh Sanghavi, Yiqi Zhang, @philartatVT
💡 Higher frequency takeover request tones lead to reduced take over time 👍 #AutoUI2020
"Driver-initiated Tesla Autopilot Disengagements in Naturalistic Driving" Alberto Morando, Pnina Gershon, Bruce Mehler, @bryan_reimer
💡 Users of Tesla Autopilot had lower visual attention on the road and lower control of the steering wheel vs. manual driving #AutoUI2020
"The Role & Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective" @patebel94@FBrokhausen@andivogelsang
💡Auto UX dev is behind the digital domain in terms of maturity; the complex context remains a challenge #AutoUI2020
"Gaze-based Interaction with Windshield Displays for Automated Driving: Impact of Dwell-time and Feedback Design on Task Performance and Subjective Workload" @AndreasRiegler, Bilal Aksoy, @AndreasRiener, Clemens Holzmann
"'Watch out!': Prediction-Level Intervention for Automated Driving" Chao Wang, Matti Krüger, Christiane B. Wiebel-Herboth
💡Human-automation interaction must be holistically evaluated: Combining speech &👁 tracking may enable the driver to alert the vehicle to risks #AutoUI2020
"The industry may be working to remove the driver but we are not there yet. We are only augmenting drivers, not replacing them. We need drivers to know that they are still responsible."
The reason that this is so cringey (besides the obvious) is that due to #autonowashing and other factors, many people wrongly believe that L2 Advanced Driver Assistance Systems are capable of reliably detecting stationary objects. They are not.
Our mental models (the knowledge we conceptualize about the systems we use before, during, and after we use them to aid in our understanding & use) are often based on a number of assumptions—some true, some false—and with time & experience better align with the intended model
Autonowashing is a concern for us all, because its consequences have the potential to effect us all.
Those who want to see driving automation advance & succeed—especially, and no matter what companies you root for—have an interest in speaking out against this issue.
Autonowashing is *not* limited to any one entity. This problem is rampant across the industry.
Tesla is discussed in relation to autonowashing, proportionately, as they continue to do the most obvious autonowashing of any OEM.
Plastics are a prob. Dead animals are often found w/ plastic waste in their stomaches. Plastics also breakdown into invisible micro-particles which we then might consume. Emerging research on the effects of microplastics on our health doesn't look good.
.@EuroNCAP has announced its new Assisted Driving Grading system which takes a holistic approach to sys evaluation by including "Driver Engagement" in its rating, to "help consumers" &to "compare assistance performance @ the highest level."
This is a win for human-automation interaction/HMI researchers who have been working for decades to explain how important teaming is and the consequences of broken control loops.
This is a win against #autonowashing, and ultimately a big win for consumer transparency & safety!
Further, @EuroNCAP also released the results of their 2020 Assisted Driving Tests with the new grading system and gave ten different ADAS systems a rating:
We have different ideas about how to “solve” for L5, and various teams are all taking shots at it. In recent years, two schools of thought have emerged about how to approach solving this problem.
🧵👇
For some it is either:
1) a fundamental AI problem which needs a new approach 2) a data problem, which can be solved by more data & more simulation
Some see the greatest challenge as developing the right AI approach.
Others believe that they already have the right approach, and therefore the challenge is acquiring more (and the right) data and doing more training.
Imo, there is some truth in both schools of thought.