Will Harrison
@willjharrison.bsky.social
870 followers 390 following 590 posts
Vision scientists and horror film enthusiast. I also lecture at the University of the Sunshine Coast when I'm not at the beach.
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willjharrison.bsky.social
doing the lord's work there David. Thanks.
willjharrison.bsky.social
New paper looking at how manipulating a movie's static statistics can influence subsequent perceptual inference.
emilya-izzeddin.bsky.social
Thanks for reading if you've made it this far! I've had to skip a lot of the details, so if you're interested in learning more, feel free to have a read of the paper - here's the link again:

www.nature.com/articles/s41...

10/10
Investigating orientation adaptation following naturalistic film viewing - Scientific Reports
Scientific Reports - Investigating orientation adaptation following naturalistic film viewing
www.nature.com
willjharrison.bsky.social
We got people to watch Casablanca after we manipulated the movie's image statistics in one of four ways. Emily came up with a cool way to probe people's orientation estimation during the movie. Paper now out - details in the thread 💪
emilya-izzeddin.bsky.social
The movie itself was filtered frame by frame to have contrast at a specified adaptor orientation at low spatial frequencies. We completed this process four times, so we could test different adaptor orientations (0, 45, 90, and 135).

2/10
willjharrison.bsky.social
I swear the fact that if two more people cite this my h-index will get a bump has nothing to do with me sharing rn
willjharrison.bsky.social
Yes I agree that it’s very easy to lose.

After 12,000 trials (plus all the piloting) I can attest to the effort required to allocate attention to force a certain figure-ground percept 🙃

link.springer.com/article/10.3...
Voluntary control of illusory contour formation - Attention, Perception, & Psychophysics
The extent to which visual inference is shaped by attentional goals is unclear. Voluntary attention may simply modulate the priority with which information is accessed by the higher cognitive functions involved in perceptual decision making. Alternatively, voluntary attention may influence fundamental visual processes, such as those involved in segmenting an incoming retinal signal into a structured scene of coherent objects, thereby determining perceptual organization. Here we tested whether the segmentation and integration of visual form can be determined by an observer’s goals, by exploiting a novel variant of the classical Kanizsa figure. We generated predictions about the influence of attention with a machine classifier and tested these predictions with a psychophysical response classification technique. Despite seeing the same image on each trial, observers’ perception of illusory spatial structure depended on their attentional goals. These attention-contingent illusory contours directly conflicted with other, equally plausible visual forms implied by the geometry of the stimulus, revealing that attentional selection can determine the perceived layout of a fragmented scene. Attentional goals, therefore, not only select precomputed features or regions of space for prioritized processing, but under certain conditions also greatly influence perceptual organization, and thus visual appearance.
link.springer.com
willjharrison.bsky.social
Is it too early for your 5 year old to co-author a Short and Sweet article for i-Perception? Now I can see the reversal, it’s quite perceptually shocking to completely reinterpret a symbol I’ve looked at since i was 5…

Bravo
willjharrison.bsky.social
Wow this made the reversal really perceptually salient to me. I suddenly saw the yellow as a completely different object.
willjharrison.bsky.social
but... it IS a cheesecake boat in the ocean 🙃🙃🙃🙃🙃🙃🙃🙃🙃🙃🙃
Reposted by Will Harrison
olivia.science
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n
Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues. Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA). Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe. Protecting the Ecosystem of Human Knowledge: Five Principles
willjharrison.bsky.social
Why everyone needs to understand signal detection theory (or at least sensitivity versus specificity).
willjharrison.bsky.social
Yeh but you can make hilarious pictures of cats eating donuts. Probably didn’t think of that did ya
Reposted by Will Harrison
mmitchell.bsky.social
🤖📰 Effective YESTERDAY: China has mandated a digital watermark for all AI-generated content.
www.cac.gov.cn/2025-03/14/c...
Translating in 🧵.
Chinese writing, with last phrase highlight.
Something like, 

第七条 互联网应用程序分发平台在应用程序上架或者上线审核时,应当要求互联网应用程序服务提供者说明是否提供人工智能生 务。互联网应用程序服务提供者提供人工智能生成合成服务的,互联网应用程序分发平台应当核验其生成合成内容标识相关材料。
第八条 服务提供者应当在用户服务协议中明确说明生成合成内容标识的方法、样式等规范内容,并提示用户仔细阅读并理解相关 理要求。
第九条 用户申请服务提供者提供没有添加显式标识的生成合成内容的,服务提供者可以在通过用户协议明确用户的标识义务和 后,提供不含显式标识的生成合成内容,并依法留存提供对象信息等相关日志不少于六个月。
第十条 用户使用网络信息内容传播服务发布生成合成内容的,应当主动声明并使用服务提供者提供的标识功能进行标识。
任何组织和个人不得恶意删除、篡改、伪造、隐匿本办法规定的生成合成内容标识,不得为他人实施上述恶意行为提供工具或者 得通过不正当标识手段损害他人合法权益。
第十一条 服务提供者开展标识活动的,还应当符合相关法律、行政法规、部门规章和强制性国家标准的要求。
第十二条 服务提供者在履行算法备案、安全评估等手续时,应当按照本办法提供生成合成内容标识相关材料,并加强标识信息共 范打击相关违法犯罪活动提供支持和帮助。
第十三条 违反本办法规定的,由网信、电信、公安和广播电视等有关主管部门依据职责,按照有关法律、行政法规、部门规章的 处理。
第十四条 本办法自2025年9月1日起施行。
willjharrison.bsky.social
EEG doesn’t seem like the right tool to measure comprehension…
willjharrison.bsky.social
That video has me giggling pretty hard
willjharrison.bsky.social
I live for this shit. Great work. Did you check the luminance profile for stimuli of varying sizes? (Clicked preprint but couldn’t see the info in abstract, sorry.)
Reposted by Will Harrison
salonikrishnan.bsky.social
It’s not just what you read—it’s whether you chose to read it.

In our new paper out at QJEP 🎉 we show that:
👉 Having a choice over what you read makes reading more enjoyable
👉 …and makes people willing to pay more for books
EXPRESS: Providing choice enhances reading motivation - Amrita Bains, Carina Spaulding, Jessie Ricketts, Saloni Krishnan, 2025
Multiple literacy programmes embed choice of reading material into their programmes, as this is believed to enhance motivation for reading. Yet, this practice h...
doi.org
willjharrison.bsky.social
I’m not in this field so I wonder if larger brain volume means more measurable voxel data and therefore more measurable reinstatement?
willjharrison.bsky.social
🤯🤯🤯

🫣🫣🫣
reubenrideaux.bsky.social
We just released a paper on using AI to autonomously conduct scientific research, from idea conception and (human) data collection to manuscript generation. We offer 3 example studies in cog psych. I think it indicates the current capacity of AI in autonomous research.

www.arxiv.org/abs/2508.13421
Virtuous Machines: Towards Artificial General Science
Artificial intelligence systems are transforming scientific discovery by accelerating specific research tasks, from protein structure prediction to materials design, yet remain confined to narrow doma...
www.arxiv.org
Reposted by Will Harrison
emilya-izzeddin.bsky.social
The Flemingos are back in action for ECVP this week in Mainz with talks, posters, and even a keynote from our fearless leader. We're all very much looking forward to this year's program! 🦩

#ecvp2025 @ecvp.bsky.social
Reposted by Will Harrison
swanresearch.bsky.social
We are seeking people currently living in Australia to participate in virtual (i.e. over Zoom) focus groups. People under the age of 18 will need parental consent to participate. Follow the link to learn more: redcap.link/lzdud5ot
A flyer describing the research study. 

Researchers at The University of Melbourne and Orygen are seeking people to take part in 2x 2-hour online focus groups which discuss the factors that play a role in the development, maintenance, and recovery from eating disorders. We are seeking:
•	People aged 12 or older with a lived experience of a past/current eating disorder
•	People aged 18 or older who are the family members/loved ones/carers of someone with a past/current eating disorder