Assistant Professor Position at Texas Tech

They are specifically looking for someone in Human Factors/Applied Experimental psychology.


The Department of Psychological Sciences at Texas Tech University announces multiple openings for tenure-track positions at the Assistant Professor level. We seek applications in the areas of clinical (req. #4627BR), human factors/applied experimental (req. #4628BR), and counseling (req. #4626BR) psychology. We are particularly interested in applicants whose program of research, broadly defined, contributes to the department’s emphases on neuroscience, and health and safety. For candidates with an interest in neuroscience, the Texas Tech Neuroimaging Institute houses a research dedicated 3-T Siemen’s Skyra with simultaneous 128-channel EEG, and there are opportunities to collaborate with existing neuroimaging researchers in psychology and across campus.

Candidates are expected to conduct productive and programmatic research, compete for extramural research funding, teach undergraduate and graduate psychology courses, mentor graduate students, and provide service to the department, college, university, and profession. Candidates for our human factors position should have a strong psychology background and a commitment to integrating basic and applied research. Candidates for our clinical and counseling psychology positions must receive their Ph.D. from an APA-accredited program by August 2016 and should be able to supervise graduate students in practicum. The anticipated starting date for all positions is August 19, 2016.

The Department of Psychological Sciences at Texas Tech ( has doctoral programs in clinical, counseling, cognitive, human factors, and social psychology. The clinical and counseling programs are accredited by APA and the human factors program is accredited by the Human Factors and Ergonomics Society. We currently have 28 full-time tenure-track faculty, 120 doctoral students, over 1,000 undergraduate majors, our own building with labs and classroom space, and a Psychology Clinic. Our research programs encompass departmental, campus, community, and national/international collaborations. We have effective working relationships with the TTU Health Sciences Center, several large area hospitals, numerous clinics and psychological-service agencies, and other multidisciplinary groups in the region. Texas Tech University is classified as a doctoral “research-extensive university” by the Carnegie Foundation and as a “national research university” by the State of Texas. With a population of approximately 240,000 people, Lubbock is an ethnically-diverse community, with a low cost of living, temperate climate, modern airport and infrastructure, and good school districts.

To apply for a faculty position, candidates must submit a cover letter, vita, statement of research interests, statement of teaching philosophy, sample reprints, 3 or more letters of
recommendation, and any other materials that candidates think will be helpful, to our online application web site, at:, under the above requisition number corresponding to each specialty area. We will begin reviewing applications on October 1, 2015, and will continue to review applications until the positions are filled. Please direct questions about these positions to: Dr. Robert Morgan, Search Committee Chair,, 806-834-7117. Texas Tech University is an Affirmative Action/Equal Opportunity Employer and TTU has a sustained commitment to enhancing diversity. We strongly encourage applications from women, minorities, persons with disabilities, and other under-represented groups. We have a successful track record of accommodating the needs of dual-career couples.

Helmet Design and Environment Interaction

I wanted a new helmet that offered some side-impact protection to replace my trusty Petzl Ecrin Roc, especially after a helmet-less Slovenian climber mocked me in Italy for wearing “such a heavy helmet” at a sport climbing crag.

I now own the Petzl Meteor, but after one trip discovered a strange design flaw.

Most helmets clip together the way carseats or backpack buckles clip together:

The Petzl Meteor helmet has a similar clip, but also contains magnets that draw the buckle together. Here is how it should work:

I was climbing at Lover’s Leap in California, a granite cliff. Those of you who know your geology might guess what happens when you combine magnets and iron-rich granite. I put the helmet on the ground while sorting gear, put it back on and heard the buckle snap together. A few minutes later, I looked down (which put some strain on the helmet strap), the buckle popped open, and the helmet fell off my head.

When I examined the buckle, there was grit stuck to the magnet.

Iron grit on magnet
Iron grit on magnet

Wiping it off seemed to work, except that it moved some of it to the sides rather than just the top. My fingers weren’t small enough to wipe it from the sides. So, the next time I snapped it shut and checked to make sure it was locked, I couldn’t get it off. The grit on the side prevented the buckle from pinching enough to release. I was finally able to get it off the sides by using part of a strap to get into the crevices.

Iron grit on sides

I made some videos of the phenomenon. It was pretty easy to do, I just had to put my helmet on the ground for a moment and pick it up again. Attached grit was guaranteed – these are strong magnets!

I am not the only person to notice this:

In one review of another helmet with a similar closure:

The only issue I had with the buckle came after wearing the Sirocco while bolting and cleaning a granite sport route. Some of the swirling granite dust adhered to the magnets, obstructing the clips. It was easy enough to fix: I just wiped the magnets clean, and it has worked perfectly since.


Helmet review from Outdoor Gear Lab

What we found in our tests of both the Meteor and the Sirocco was that the magnet did not always have enough oomph to click both small arms of the buckle completely closed. About one in four times, only one of the plastic arms would fasten and the buckle would need an extra squeeze to click the other arm in. Another thing our testers noticed was that the magnet would pick up tiny pebbles which would prevent the buckle from fully closing. The pebbles can be easily cleaned by brushing off the exposed part of the magnet, but it adds an extra step to applying the helmet. The bottom line is, we prefer the simplicity of the old plastic buckle. We think that the magnet is a gimmick which potentially makes a less safe helmet.

Safety gear shouldn’t add steps to be remembered, such as making sure the buckle is locked, even after getting auditory and tactile feedback when one connected it. Some people may never climb in an area with iron in the ground, but the use-case for a granite environment should have been considered. You know, for little climbing areas such as the granite cliffs of Yosemite.

Prominent figures warn of dangerous Artificial Intelligence (it’s probably a bad HF idea too)

Recently, some very prominent scientists and other figures have warned of the consequences of autonomous weapons, or more generally artificial intelligence run amok.

The field of artificial intelligence is obviously a computational and engineering problem: designing a machine (i.e., robot) or software that can emulate thinking to a high degree.   But eventually, any AI must interact with a human either by taking control of a situation from a human (e.g., flying a plane) or suggesting courses of action to a human.

I thought this recent news item about potentially dangerous AI might be a great segue to another discussion of human-automation interaction.  Specifically, to a detail that does not frequently get discussed in splashy news articles or by non-human-factors people:  degree of automation. This blog post is heavily informed by a proceedings paper by Wickens, Li, Santamaria, Sebok, and Sarter (2010).

First, to HF researchers, automation is a generic term that encompasses anything that carries out a task that was once done by a human.  Such as robotic assembly, medical diagnostic aids, digital camera scene modes, and even hypothetical autonomous weapons with AI.  These disparate examples simply differ in degree of automation.

Let’s back up for a bit: Automation can be characterized by two independent dimensions:

  • STAGE or TYPE:  What is it doing and how is it doing it?
  • LEVEL: How much it is doing?

Stage/Type of automation describes the WHAT tasks are being automated and sometimes how.  Is the task perceptual, like enhancing vision at night or amplifying certain sounds?  Or is the automation carrying out a task that is more cognitive, like generating the three best ways to get to your destination in the least amount of time?

The second dimension, Level, refers to the balance of tasks shared between the automation and the human; is the automation doing a tiny bit of the task and then leaving the rest to the user?  Or is the automation acting completely on its own with no input from the operator (or ability to override)?

If you imagine STAGE/TYPE (BLUE/GREEN) and LEVEL (RED) as the X and Y of a chart (below), it becomes clearer how various everyday examples of automation fit into the scheme.  As LEVEL and/or TYPE increase, we get a higher degree of automation (dotted line).

Degrees of automation (Adapted from Wickens et al., 2010)
Degrees of automation represented as the dotted line (Adapted from Wickens et al., 2010)

Mainstream discussions of AI and its potential dangers seem to be focusing on a hypothetical ultra-high degree of automation.  A hypothetical weapon that will, on its own, determine threats and act.  There are actually very few examples of such a high level of automation in everyday life because cutting the human completely “out of the loop” can have severely negative human performance consequences.

The figure below shows some examples of automation and where they fit into the scheme:

Approximate degrees of automation of everyday examples of automation
Approximate degrees of automation of everyday examples of automation

Wickens et al., (2010) use the phrase, “the higher they are, the farther they fall.”   This means that when humans interact with greater degrees of automation, they do fine if it works correctly, but will encounter catastrophic consequences when automation fails (and it always will at some point).  Why?  Users get complacent with high DOA automation, they forget how to do the task themselves, or they loose track of what was going on before the automation failed and thus cannot recover from the failure so easily.

You may have experienced a mild form of this if your car has a rear-backup camera.  Have you ever rented a car without one?  How do you feel? That feelings tends to get magnified with higher degrees of automation.

So, highly autonomous weapons (or any high degree of automation) is not only a philosophically bad/evil idea, it is bad for human performance!


Three months with Apple Watch

My watch face of the moment

First, a disclaimer: this isn’t a full-on review of the Watch. There are more qualified people to review the gadget.  The newest one comes from one of the best and most thorough hardware review sites: Anandtech.

One part of the review was particularly insightful:

Overall, I found that the fitness component of this watch to be a real surprise. I often hear that Apple is good at making things we didn’t know we wanted, but this is probably the first time I’ve really believed that statement. Going into the review, I didn’t really realize that I wanted a solid fitness tracker on a smartwatch, but now I’m really convinced that there is value to such features.

This has been my experience as well.  I’ve never cared to wear a fitness tracker but i’m surprised at how much I pore over the stats of my standing, activity, and workout levels.  The watch also provides a surprisingly effective level of motivation (badges & activity circles).

My activity level (for someone who sits at a desk most of the time) has dramatically increased since the watch (see right; yellow line is when I got the watch).IMG_0369

We used to think that smartphones were the “ubiquitous” technology but there are times I leave it behind.  The watch is always-on and there will be interesting use-cases and challenges in the future.  I’d love to start my car with my watch!

Some other random thoughts:

  • The fitness features are great but I wish there was a better way to view my data:
    • View splits on outdoor runs
    • View all my workouts instead of looking for them in the calendar view.
  • Many reviews i’ve read assume the watch will replace the phone.  But doing any extended activity really tires the shoulders!  My interactions are really limited to much less than 5-10 seconds.
  • I notice that haptic feedback on the wrist is much less jarring and easier to dismiss (i.e., not as disruptive) as vibrating phones on the body.
  • The Apple Watch is made for travel:
    • Most airlines have applets for the watch that make it so easy to keep track of gates, departures, & arrivals.
    • Boarding a plane with your watch feels very futuristic but most pass readers are on the right side and I wear my watch on the left resulting in very awkward wrist positions.  Even when the reader was on the left, it is facing upwards requiring me to turn my wrist downwards.
  • It is unobtrusive and looks like a watch, not like a gizmo on my wrist.
  • Apple Pay belongs on the watch.  I’ve used Apple Pay on my phone but it is much more seamless on the watch.
  • Notifications are great if you pare down what can notify you.  I only get notified of VIP mail (select senders) and text messages.
  • Controlling my thermostat, and other electrical devices from my wrist is pretty great.

Psychology Podcasts

Those who know me know I am a fiend for podcasts. Since I’m also a fiend for psychology, I can’t help but notice when it pops up in a podcast, even one not focused on psychology. I use many of them in my courses: for example, the This American Life episode on what having schizophrenia sounds like is a must listen when I hit the Abnormal Psychology chapter in Intro. The Radiolab Memory and Forgetting is a staple in my Cognitive class and I take advantage of the multi-disciplinarity of Human Factors to play clips from every area. Startup had a good one that illustrates what human factors looks like to a client.

Over the years I’ve compiled a list of my favorites relating to psychology. Some are clips from longer podcasts while some are dedicated to psychology (e.g., Invisibilia). Each one has a general area of psychology noted (although some hit two or more areas) and if it’s a clip I put the start and end time of the most related audio.

I hope you enjoy the resource and I will keep updating it as I find more. If you know of any I don’t have listed, please link to it in the comments for the blog and I’ll add it to the spreadsheet.