Maresa Tate

Now You See Me — Now You Don’t: An Investigation of Hair Alterations Effects on Face Identification in Own- and Other-race Faces

April 3, 2021   /  

Name: Maresa Tate
Major: Cognitive and Behavioral Neuroscience
Advisor: Dr. Grit Herzmann

Dr. Josephine Wright Diversity, Equity, and Inclusion Award

The ability to distinguish and identify individuals is critical for social interactions among humans. Many Black, Indigenous, and other people of color (BIPOC) frequently share stories of being misnamed, misidentified, and/or unrecognized by white peers, which can cause frustration and feelings of isolation among people of color in white-dominated spaces. This study examines the Other-Race Effect (ORE), or the difficulty of recognizing faces of another race compared to one’s own race, from an interdisciplinary lens to understand the role of anti-Blackness in possible differences in the processing of hair during facial identification between Black and non-Black individuals. This study analyzed hair alterations’ effects on facial recognition accuracy in relation to the ORE using eye-tracking technology. Hair is used in facial processing and recognition and can be used to identify and distinguish individuals in different racial and ethnic groups. It also influences the representation of one’s face, so when changed, it can make the identification of a face more difficult. Limited literature includes Black populations in facial recognition examinations, so Black individuals were prioritized in the recruitment of this study. Black and white American participants were recruited and compared in performance, as there are vast differences in hair textures, styles, and significance/meaning of hair between the two communities. These differences could shape their performance and eye-tracking patterns when examining faces of their own race versus the other race. This study provided evidence that cultural norms shape the role of hair in face recognition and that individual experiences result in differences in processing styles of faces between races.

Click here to view Maresa’s presentation. (NOTE: A Wooster login is required to view this presentation.)

Maresa will be online to field comments on April 16:
4-6pm EDT (PST: 1-3pm, Africa/Europe: late evening)

109 thoughts on “Now You See Me — Now You Don’t: An Investigation of Hair Alterations Effects on Face Identification in Own- and Other-race Faces”

  1. Congratulations, Maresa! I think that your recruitment methods are a great example of what more scholars in psychology can do…and your work will help pave the way for more projects to do the same…prioritizing and oversampling specific populations that have been understudied.

  2. Hi Maresa, wonderful work and presentation! Congratulations on your IS, and intriguing results. I was wondering how the background of the participants correlated with their performance? (I suspect you would need a larger group to really tease this out…). I guess my more philosophical question is: does exposure in adulthood to a diverse, multiracial environment noticeably improve facial recognition for someone who grew up with just one kind of face in their environment and media (like me 🙁 ). I’m really hoping we are flexible enough in adulthood to retrain our recognition systems…

    1. Hello! Thank you for the questions. I organized them below!
      1) How did the background of the participants correlate with their performance?
      My post-survey analysis had three main categories: current-day interactions with your own race versus the other race, childhood interactions, and media (TV shows, movies, social media). White participants had more exposure with their own race than with Black folks. Black individuals showed some variability but overall had similar exposure to both groups. And this is where my data gets a little tricky. White folks did show an ORE but only in the False Alarm condition, so they were more likely to misidentify Black faces for a previously seen Black face than with white faces. Which is super interesting, in my opinion. Black participants showed an ORE only in the Target Altered condition. So, they were more likely to not recognize white faces with altered hair than Black faces with altered hair. So this tells me a lot of things, but I’ll try to keep it short. White folks with less exposure to Black folks struggled with “mixing up” the new Black faces with the old Black faces. We see this in real life when white folks mistake the one person of color for another in spaces. The Black folks had similar exposure to both racial groups and this is where the differences in performance based on exposure kind of shows. Black folks’ ORE was not because they mistook anyone for another but probably because they are just more used to alterations of Black hair than they are white hair.
      2) Does exposure in adulthood to a diverse, multiracial environment noticeably improve facial recognition for someone who grew up with just one kind of face?
      This was an extended conversation in my Orals! Unfortunately, the short answer is no. Many studies have analyzed the possibility of interracial social contact mitigating or completely erasing the ORE. And it does, but there is a developmental window (similar to language) which closes around 12 years of age that is key to this. Even after years of having extended interactions with other-race faces in adulthood, after this window, there seems to be little to “no” improvement. You can think of this in relation to language; for many monolingual individuals, it is difficult to spontaneously learn a new language in adulthood compared to early childhood. However, multilingual people tend to be able to pick up languages quickly even after this developmental window closes because their brain is “trained” with multiple languages. This relationship has taken a spin on “native speaker” to “native recognizer” for face identification. Here’s an article you might find interesting that introduces the “native recognizer” theory: https://doi.org/10.1038/s41598-019-49202-0
      Now, I know this is not what folks want to hear; however, I think this is very telling of the importance of early life in social development but also, as adults, we can be cognizant of this bias we may possess. I did come across one study where white and Asian adults showed the ORE when they looked at static 1-D facial images, but when they were presented with more holistic views of faces, the ORE was mitigated. I didn’t look at this too much, but it seems that with the holistic view because it was kind of “forced” on participants by providing specific orientations, that may be why the ORE was mitigated. Since the ORE is known to occur because of failed holistic processing of other-race faces, this makes sense. So, what exactly does this mean? Still not sure if the ORE can be eliminated, but being conscious of this phenomenon and how you may be processing other-race faces can go a long way. Hope this answer is helpful!

  3. Very nice study and excellent presentation. Congratulations on winning the Josephine Wright Award.

  4. It was always so wonderful hearing little snippets about your IS through Instagram! I am glad I could hear more about it through your presentation which you made incredibly accessible to a non-STEM viewer.

  5. Wow!! This project is amazing and the implications are so important. I always find it funny when my friends from different racial group say they did not recognize me because of my hair and it is nice to have an explanation for why. I also was advised when I was going to do the GRE test online to make sure I had lots of light on my face and hair pulled back or else I could get flagged because facial recognition isn’t the best with darker skin tones. Wonderful job Maresa!

    1. Right?!?! Hopefully, these tools can change to be more inclusive! Thanks so much and congrats to you as well, Stachal <3

  6. Excellent work on this critically important topic! I get the sense that if you replicated this with a community sample you would find even more pronounced ORE differences depending on community demographics. I just want to echo Dr. Regan’s comment regarding whether exposure in adulthood might help reduce the ORE – do you think people can improve their cross-racial identification, especially without relying on external factors like hairstyle? I hope you continue your work on this topic; I would love to know if there are different eye movement patterns associated with accurate and inaccurate identifications!

    1. Hello! These are great questions. I have not seen a study do that, which would be interesting! I would not be surprised if that could not happen, though. Something I didn’t touch on in my video is that the ORE exhibition, from a processing standpoint, stems from the failure to holistically view faces of another race compared to your own. So, the funny thing is a lot of facial recognition and ORE studies leave out external features because they cause for “distractions” by altering the representation of the internal features of a face. It’s another variable that folks don’t usually want to deal with when studying the ORE; very valid haha! The one study that I wrote about under Dr. Regan’s comment used faces without hair and ears. Though they didn’t “train away” the ORE, they did find that it was mitigated when they showed holistic views of the faces to participants. However, learning this way may not help because in real life people will not all of a sudden have no ears and hair (that would be a very interesting turn of events, if so). These features would change the representation of those internal ones. It would be interesting to see if one could “train away” the ORE in steps. Using faces without external features and then adding external features to see if folks could recall them later on after an extended amount of time studying the faces without features. Hope this helps but as I told Dr. Regan being cognizant of this phenomenon and trying against it can go a long way!

  7. Impressive, Maresa! You are such an inspiration and role-model with a bright, bright future. Thoroughly researched, well-designed, clearly presented – awesome work! And certainly timely with applications to facial recognition programs during the pandemic. What challenges did the pandemic present to your I.S. process, and how did you overcome those? I can’t wait to see where you go from here!

    1. Hi Dr. Pollock!
      The pandemic really took my I.S. journey for a turn! I had plans to complete a different I.S. studying epilepsy in Cameroon. I got the funding, a supporting institution and PI in Cameroon, and was all set to go in the summer. But then, Covid! When I realized it wasn’t going away, my amazing advisor, Dr. Herzmann, reminded me of my work junior year, so I took this on! Glad I did because this is a very interesting, relevant, and needed topic of analysis. Because I added the use of eye-tracking, I needed participants in the lab. This took a lot of thinking, safety protocol write-ups, approvals from many different offices, and a lot of persuasions-not only on the administrative side of things but also to get folks to come in and participate. Luckily, we have a great community of supportive students at Wooster, and everything worked out nicely! I, honestly, just put my heart to it and came up with multiple Plan Bs so I could carry this out. I love this topic, and I am glad where the Neuroscience program allowed me to take this.

  8. Maresa, your IS very clearly has some important real-world implications–I hope to one day read your published work on this topic! After viewing your presentation, I’m really curious about a few things–first, do you think biracial/multiethnic folks are better in terms of accuracy in recognizing altered faces because of their presumably more consistent exposure to both Black and white faces in childhood? In another direction, I wonder how the impact of mask-wearing will play out in future ORE studies that include hair–I know that since the start of the pandemic, I’ve really struggled to recognize my masked friends after a hairstyle change when I see them on campus!
    Congrats on a job well done 🙂

    1. Hey Hallie! I like what you’re thinking. I have organized my answers to your questions below:
      1) Do you think biracial/multiethnic folks are better in terms of accuracy in recognizing altered faces because of their presumably more consistent exposure to both Black and white faces in childhood?
      Yes! Numerous studies have shown that biracial/multiracial folks have an advantage for both/multiple-race groups they are a part of. So, I had tried to make sure my participants were monoracial to mitigate any chances of that kind of advantage. Similarly, a lot of studies show that interracial adoptees also have an advantage for both their own race face and faces of their adopted family’s race.

      2) In another direction, I wonder how the impact of mask-wearing will play out in future ORE studies that include hair–I know that since the start of the pandemic, I’ve really struggled to recognize my masked friends after a hairstyle change when I see them on campus!
      I’m also interested in this! In one of the first meetings, I had with my I.S. advisor we talked about how masks would change the world of facial recognition as we know it. Since masks only allow for folks to use the internal feature, eyes, and then everything else is external, I can imagine that there would be fascinating findings for folks like us who are not used to this. I wonder though if children were exposed to mask-wearers for an extended amount of time would they show an advantage with mask-wearing but also be more able to recognize faces, in general? A lot of studies that focus on internal features have identified eyes as being the most important feature. However, holistic processing of faces (using both internal and external features) is super important for accuracy as well. I’ve seen or two studies on mask-wearing in general but not in relation to hair and/or ORE, so it will be something very interesting to review in the future.

  9. Wow, Maresa! What an important project with far-reaching implications! I look forward to seeing how your research continues from here.

    1. Thank you for helping me along the way. I am so grateful for the hard work you put into my I.S. journey!!

  10. Maresa, I’m floored. Your presentation is amazing and it’s so clear that your research was driven by a huge passion and sense of justice. Congratulations on completing this fantastic work and well-deserved award! I wish you huge success and happiness for your career after Wooster <3

  11. Congratulations, Maresa! A well deserved award for an amazing project. I’m sure this research will be used to make a difference across disciplines.

  12. Maresa, I am so impressed with your project! Your creation of the image with the same folks with different hairstyles is VERY persuasive. You do a wonderful job explaining your research and its larger implications to a general audience.

    1. Thank you, Dr. Holt! I am glad I was able to make it clear for all kinds of scholars!

  13. Maresa, you are an exemplary person in so many ways, and your IS is a manifestation of that. Congratulations on all that you do and all that you are!

    1. Thank you, Cara! This means a lot to me. Keep continuing to be great, and I can’t wait to see what you do for your next year at Woo!

  14. Fascinating study, and congratulations, Maresa! I remember having a conversation about facial recognition with a black friend and colleague in graduate school, and we both said we had difficulty in recognizing other-race faces. It has been illuminating to learn more about this through your project! Do your future plans involve any continued work in this area? Best wishes!

    1. Hello, Dr. Martin!
      Thanks for your comment. I am glad I could provide helpful insight for folks. And yes, I do plan to continue this work in the near future; stay tuned!

  15. Congratulations on a brilliant IS Maresa! It has truly been an inspiration to watch you work and the navigating the whole process. I’m honored to be involved!

  16. Maresa–congratulations on devising and executing such a sophisticated study. I’m sharing your impressive work with students in the political science department, especially those who are interested in experimental designs. Way to go!

  17. So interesting, Maresa, and a very impressive study. I was wondering if you have considered how masks might be expected to affect ORE in facial recognition.Also, are you or Dr. Herzmann planning to continue future studies in this area?

    1. Hi Dr. Sirot!
      Dr. Herzmann and I were very interested in thinking about mask-wearing when I first decided on this topic. The ORE is already exhibited because of the over-reliance on external features and the failure to holistically view faces of a different race compared to your own. So two things, masks would of course affect recognition accuracy by decreasing it. There are no internal feature cues except for eyes so it would be hard to recognize without a mask to with a mask faces. This would be exacerbated with other-race faces, I could imagine. On the other end if participants are tested on all faces with masks and there was no change to with and without a mask and there were no external features present, it is possible that an ORE would be mitigated or even eliminated because it would force everyone to look at the eyes of the faces. Some eye-tracking studies have shown that the eyes are the “most important” internal feature that really increases accuracy. Or, it could just confuse everyone because there are no other cues internal cues to rely on. So, the short answer to this is I am not sure, but it would very interesting to study!

      And yes, Dr. Herzmann and I have plans to continue working together. Super exciting!

  18. Maresa, this is just terrific research. It connects to content we tackled in my Ethics of New Technology class about the inadequacy of algorithms used in facial recognition software; like their human creators, even the computers are getting identifications wrong more often for BIPOC populations. You’ve done a terrific job in this presentation and I especially liked the photographs used to drive home the overall point you are making. Excellent work. Congratulations!

    1. Hi Dr. Haely,
      Thank you so much! With the rise of analysis of these exclusive technologies, hopefully, we will be able to create more inclusive ones in the next few years.

  19. Ah, finally the big reveal. I love everything about this, especially because it’s such a relatable topic that should be studied scientifically as you have beautifully done so. I’m curious: Can you expand on the cultural norms that shape the role of hair in face recognition?

    1. Hey, Alayt! This is a great question and I did not have time to dig into this for my presentation, but am happy to do that for you!

      So, the cultural norms I am referring to are related to the differences in significance and meanings of hair to the different groups analyzed. I like to say I completed an “untraditional interdisciplinary” I.S. I looked at the history of Black hair, hair discrimination, anti-Blackness in the USA in my thesis to understand the relationship between the processing of hair and the ORE a bit more. There is a lot of variety in hair textures and styles of people of African descent. Also pre-Trans Atlantic Slave Trade, hair was significantly used by many African ethnic groups to signify their ethnic group belonging, status, age, and more! We still see hair as being a huge symbol for Africans and the African diaspora, today. In the USA, the Black population contributes the most to the hair industry’s earnings. Along with that, when Europeans interacted with Africans they used many methods to dehumanize them. One of those methods was through the forced maintenance of hair: shaving the heads of enslaved Africans to remove the significant meanings and their identities, Tignon Laws (1786) in New Orleans, LA which forced Black women to cover their hair because they were attracting white male attention, the white European standard of beauty that is abundant in the USA, and many instances of hair discrimination throughout US history and now, in the workplace and in schools. Taking all this into account, Black people have a different relationship with hair than white people do, especially in the USA. So, I thought the processing of hair would be different between the two groups and it was! Studies shows that familiar faces (especially own-race faces) are looked at longer than unfamiliar faces. Black folks looked at their own race faces longer because they were familiar whereas white folks looked at Black faces longer than white faces but not because these faces were familiar (in that case they would have done really well with recognition of Black faces) but because Black features faces are “unique” to white people. One study analyzed the ORE with the use of eye-tracking technology with white individuals. They found that white folks looked longer at other-race faces (Asian and Black) and yet showed an ORE. In particular, white folks stared at Asian and Black faces differently than they did their own race faces. They stared at the “unique” ethnic identifiers (ex. eyes and nose of Asian individuals and nose and mouth of Black individuals). My findings replicated the studies discussed and my analysis was concluded from my participants’ differences in performance. To white people, Black hair is novel and “unique” thus causing gawking or the classic “Can I touch your hair?” (if they are even kind enough to ask first). I hope this answers your question; it was a lot! I would be happy to speak to you more about this later on.

  20. Hi Maresa, such thoughtful and interesting research! Thank you for always sharing your kindness and passion on campus. You inspire me and I wish you all the best moving forward!

    1. Thanks, Ella! You inspire me!! Congrats to you too, and I can’t wait to see where you are headed 🙂

  21. Hi Maresa! I found this topic very interesting, and I am so glad that you chose to research it. Congratulations on you great work! My question is: what guided your decision to focus on the faces of women, was it because women typically showcase more hair style variations? Additionally, do you think including different genders, sexes or age groups could have affected your findings at all?

    You’re amazing, wishing you the best on your future endeavors!

    1. Hey Ty! I’m glad you liked it, and thank you! I organized your questions below:

      (1) What guided your decision to focus on the faces of women, was it because women typically showcase more hairstyle variations?
      You’ve got it! I thought it would be easier to only have female faces because of the variety of hairstyles that I could display.

      (2) Additionally, do you think including different genders, sexes, or age groups could have affected your findings at all?
      I actually wanted to only recruit female and femme folks to participate because I only used female faces. Facial recognition is super fascinating! There is actually an own-gender bias which is the same concept as ORE expect you’re better with faces of your same gender. There’s also an own-age bias, so all of my facial stimuli were of females aged 18-30 because that was a sweet spot with my participant’s age ranges. Unfortunately, due to Covid, I was limited with data collection, so males were included for a good sample size. They did underperform just a little actually compared to my female participants, which makes sense because they were not looking at male faces. It wasn’t too bad (good enough that I didn’t have to exclude some of them haha), but they definitely would’ve done better if they looked at faces of their own gender.

      You’re awesome too, and I can’t wait to see what you do at Wooster. We’re very lucky to have you 🙂

  22. This research is so so important and it’s amazing that you’re helping break the cycle of exclusion within neuroscience spaces. You’re gonna do amazing things post-Woo. Congrats on I.S.

    1. Hey, Micah! Thanks so much for this comment. It means a lot! You’re an amazing individual, and I can’t wait to see the change you create on Wooster’s campus.

  23. This is such an amazing and important study – so relevant to a lot of the technology and beauty industry booms happening in the world today! I really hope more studies like this become a reality in the mainstream study of social science overall!

  24. Congratulations, Maresa on your amazing research on hair alterations’ effects on facial recognition which is also very important work to make more science spaces more inclusive. My question to you is do you plan to further use this research in your career plans?

    1. Hey, Obianuju!
      Thanks so much. I.S. taught me I really LOVE research! I knew I wanted to do research but not to an extent of becoming a “researcher”. I am not sure if I would commit a career to facial recognition, though I find it very fascinating! I am really interested in studying childhood adversities and development. I could always do both, of course ;). We shall see where life takes me. Thanks for the question!

  25. Maresa, your IS was fascinating!! Great work! I’m thankful we got to work together last summer and i wish you best of luck as you move into your life after Wooster!!

    1. Hi Kai! Thanks so much! It was awesome working with you over the summer as well, and I am excited to see your work next year!

  26. Congratulations on your great work Maresa!! It is really empowering to see what seniors like you have accomplished over this process!

    Wishing you the best of luck for after graduation, and excited to see what you will accomplish next!!

    1. Hitomi!! Hello!!
      Thanks so much. I can’t wait to see your work next year 🙂

  27. Amazing work Maresa! Your study is so interesting and relevant. You deserve all the praise. Best of luck with your future endeavors!

  28. Maresa, this is a very interesting study! As a person who struggles with facial recognition of anyone and relies heavily on the external features you noted (along with non-facial information such as height, build, clothing, voice, etc.), I wasn’t surprised to hear that these external features are less reliable. The ORE that you identified certainly has social/cultural implications, especially in a diverse educational environment like Wooster. Thanks for sharing your research, and for all that you have done over the last four years to make the STEM programs at the college better! Congratulations, and we wish you all the best in your next steps!

  29. Congratulations Maresa! Your work always blows me away, and I’m so glad I got to be a small part of your study! I can’t wait to see what you do next!

  30. This was a fantastic study Maresa! Congratulations on creating high quality and relevant research, you’re amazing.

    1. Thanks, Jenelle! Congrats to you too, and I am glad to have met other amazing scientists at Woo like you!

  31. This is amazing, Maresa. You are a great inspiration and role model.

    Why did you limit your participants to Black and white Americans?

    1. Hey, Saralee. Thank you!
      And what an amazing question- super glad you asked. A lot of ORE studies only focus on populations from monoracial/-ethnic environments. For example, a study looked at the exhibition of the ORE in children born and raised in Cameroon and children born and raised in Germany (Suhkre et al., 2014). You can imagine that these results would be very clear-cut. Both groups exhibited an ORE because they have no contact with faces that are not of the same race. Many studies have replicated these findings using mostly East Asian and white European populations. Studies that have analyzed the ORE in multiracial/-ethnic environments find that the minority racial group usually performs equally with their own race face and the majority race face (and in some cases do better on the other race face than with their own (aka they formed an in-group for the other race))! That is due to extreme exposure to the majority race. However, for the majority race, they exhibit an ORE often. So, I wanted to add to this literature and see how this might play for Black folks in a white majority country. Hope this answers your question!

  32. Congratulations, Maresa! I recently wrote about the underrepresentation of certain populations (specifically Black women) in neuroscience, and it’s awesome to see you vocalizing that point and making a difference in the field. Your topic is so fascinating! I have one quick question: what is the implication behind the finding that Black participants spent more time looking at Black faces?

    Wishing you all the best!

    1. Hey, Gracie! Thank you, and congrats to you too!
      Love these questions! Many eye-tracking studies have found that when looking at a familiar face you spend a longer amount of time fixating on that face than an unfamiliar face, so one of my hypotheses was supported since Black folks looked at their own race face longer than white faces. This just tells me that those faces were “familiar” to them as they should be since they are their own-race faces. This is really interesting to me because though they spent a lot of time looking at their own-race faces, they did not show an ORE in the Target Same condition. However, they showed an ORE in the Target Altered condition which correlates to them spending the least amount of time looking at white altered faces. That’s definitely something to look at further. Hope this helps!

  33. What an interesting IS topic. My question is if there is a reason you kept your study to people who are from the United States? Is it something about how we are socialized and what we see in the media?

    1. Hi, Fiona! Great questions.
      Yes. So, I limited my participant pool to people who have been in the United States for 10+ years (that is what I mean by “American” in this case) because I wanted to mitigate the chances of individuals having absolutely no exposure to other-race faces because they grew up in a monoracial country, especially of my Black individuals. It was predicted white folks would show an ORE because they are more to have limited exposure to Black folks but Black folks being the minority group would show different results since they have a lot of exposure to white people, even if these exposures are not extended and meaningful relationships. I was also interested in looking at histories of oppression, discrimination, and anti-Blackness could shape the development of the ORE (or lack thereof for certain populations) because the USA is built for a certain demographic and not for others. Hope that answers your question!

    1. Congrats to my Ohema, as well! I can’t wait to see what you do post-Woo (something our mamas will brag about, of course)!!
      p.s. we need to work on our next project together now that this one is over ;).

  34. Wow, Maresa, super interesting topic! Your presentation helped me understand more effects of living in a majority white society and, more specifically, how I personally did not have to grapple with my own identity when I buzzed off my hair because I had the privilege of being around mostly white individuals who still recognized me. Thank for all the work you do in Scot Council and I hope to see you at commencement!

    1. Thanks, Sam! I’m glad I got folks thinking about how this plays out in their everyday lives. It has been a pleasure working with you this past year, and I can’t wait to see what you do post-Woo.

  35. Congratulations, Maresa! Thank you for sharing your findings in an engaging and inclusive way, I was so excited to see the results of your project today!

  36. Congratulations Maresa on your IS and prize! Your study and presentation are very interesting, well-done, and bring up great questions to continue to be tackled.

    As always, I am so impressed by the work you do and wish you the best!

  37. Fantastic study with really timely ties to real world use of technology. Thank you for sharing this work.

  38. This is an interesting topic and the way you structured your work is amazing. Great jobs, Maresa!

  39. Hi Maresa! Great job and congratulations on finishing your I.S.! I can’t wait to see where your research will take you next!

  40. Maresa! Congratulations on completing this important research project. It’s such a fascinating topic and your approach reveals some really relevant issues in the field. I’m really enjoying reading the questions and your responses, too!

  41. Awesome job, Maresa! I was especially intrigued by your research in identity and ORE.

  42. Thank you Maresa for sharing this important research. As people begin to imagine a future where mask wearing may be more common, I wonder how your research can expanded and if people will be more reliant on external facial features. I also wonder if people will either adapt to look longer at a person’s face or if our skills in facial recognition may decrease and what are the implications of this with identifying people of other races than one’s own. So, along with the expansion of facial recognition technology, I think your research comes at a crucial time.

    1. Awesome reflections, Kristin! I’m glad I can get people to think about these ideas more!!

  43. What a timely & important topic! I wasn’t able to view your presentation since I don’t have a Wooster login, but the abstract was intriguing enough that I then read all the comments to get more of an idea of your thought process and results. Thank you for sharing, and best of luck to you in the future!

  44. You presentation was wonderful and super engaging. My FYS class was called “What’s in a Face,” and we talked a little about facial recognition and ORE; this is such an interesting and important topic, and I’m so glad that I was able to learn more through your presentation!

  45. Congrats!!! Amazing job, not only on this but on your entire college career. You’ve always been so impressive to me and I’m sure so many other people! I know you are going to go on to do even more amazing things!

  46. Congratulations on the completion of your IS Maresa! Your research is incredibly relevant and well-needed.

    1. Thank you, Dr. García!! You were a huge help throughout this process, and I am so grateful for you!

  47. Brava, Maresa — Thank you for sharing your research and project — such important work. Congratulations on your award…so very well deserved! Can’t wait to see all your accomplishments after Wooster.

  48. Congratulations, Maresa!! Your research and presentation are excellent and really interesting. Thank you so much for sharing them. The questions you address have so many important implications.

    Thank you for all that you have done and created at Wooster. You have made things happen here which will be important for many generations of students to come. I wish you all the best in the coming years — you will certainly make great things happen wherever you go!

    1. Thank you so much, President Bolton! This message means a lot to me. I am very grateful for all the opportunities Wooster gave me inside and outside of the classroom. I’m excited for the journey ahead!

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