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1 | Discussion Session Writeup | What have you learned? | ||||||||||||||||||||||||||
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3 | Session | Title | Albert Chu | Alex Leishman | Ana Carolina Mexia | Andrew Declerk | Brian Higgins | Chris Salguero | Clay Jones | Junwon Park | Derin Dutz | Ikechi Akujobi | Jason Liu | John Nguyen | Katy Shi | Kevin Rakestraw | Luke Chen | Matthew I. W. Chen | Megan Wilson | Michael Fischer | Michael Xing | Prasad Kawthekar | Quinlan Jung | Rakesh Ramesh | Shawn Fenerin | Silei Xu | Stephanie Palocz | Trina Sarkar |
4 | May 2 | Getting Started With NLP Systems | Was interesting to hear the specifics about Watson and using Watson, like the intent, entities, nodes. Interesting to see comparisons between Watson and Almond and how Almond relies on Mechanical Turk to get labeled training data. | I thought Watson was a really cool tool that we might end up using in our project. I did not realize an AI API this easy to use was available to us. Very englightening. | It was really interesting to learn more about how almond works and how it could be useful for our project especially the labelled data idea to classify food. It was also very interesting to get more exposure to NLP since I have been exposed to it before. | Thank you for the suggestion to use Watson as a way of analyzing actual sentiment in how a response is even worded. I didn't know that the Watson interface online was so user-friendly. It was also very interesting to see how Watson has tried to separate itself from being tied to a specific account/device. Also interesting to see how you can pair Watson with Almond in order to make up for Almond's lack of a reliable state machine. | This was a good overview of Watson's API and how Almond works under the hood. It was useful to discuss how data was sourced with Turk, and how almond turns NLP into trigger action programs. For my project, snorkel sounds really interesting. I need to look into this to see if I can build my NER dataset with that software | It was a good comparison and overview of both almond and watson systems and provided a good contrast as well when it came to the finer details in implementation and specialized services | It is interesting to see the trade offs within Watson. I was unaware that devices could not be integrated with Watson, which highlights the power of Almond's functionality. | Super helpful. My team actually decided to take a look at Watson as opposed to the Microsoft NLP we're using now because this presentation showed how powerful Watson is. | Interesting high-level comparison between Watson and Almond. I thought the idea of using other virtual assistants or services (e.g. Watson, Google) as a backup when your virtual assistant fails was particularly compelling. | Interesting to see the explanation of how Almond works, and how you use Turk to create training data for paraphrases. It does seem bad that 2/3 o the data Turk retruns is trash though, are there any otehr techniques or tools for that could improve results. It's also interesting to se the differences in magnitude between the data needed for Almond and Watson conversation, due to the differences in the number of options/commands. | It seems that Watson is extremely powerful, provided that you have the correct, but highly specific use case for it. I wonder if there is "middle-of-the-road" option that involves being able to call Watson's services from an Almond Virtual assisstant | Really liked examining the differences between paraphrasing, cheatsheet, and scenario-based data acquisition; unsupervised learning was definitely the most interesting part and would've liked to spend more time with it | Had no idea Watson even had an API. Super cool to see the uses for that. Cool to see the differences between Almond and Watson - more interesting that Almond has no device capability, seems like a huge limitation | Thank you for showing us the ways of Watson. I was under the impression that Watson was just a machine and not an API. Our team had no idea that was a possibility for our project, but we will be looking into it for sure. | It was very useful to hear a comparison of what Watson was capable of versus Almond and see to see brief demonstrations of apps built with each. I found the analogy of using Watson as "writing a movie script" to be quite effective and intriguing and will see how to potentially use it. There was quite a bit of discussion dedicated to data collection and I definitely learned a bit on unsupervised data labeling. | I didn't really think of Watson as a NLP system beforehand, so it was cool to see it described through that lens (although it takes some of the magic away, haha.) I also enjoyed the quick explanation of supervised machine learning in the context of Almond. | We have been thinking about whether to use Almond or trying to build something ourselves, and hearing about Watson has led us in the direction of possibly using that. I didn't know anything about how Watson worked until today, and I didn't realize that there was an API available for it. After learning about the high-level structure of how it works during class, I am looking forward to trying it out and getting a sense of it in a little more detail. | Watson is a really cool API that is able to perform NLP on text. That's very applicable to our project. | Definitely going to explore Watson for our project, it was not on our radar until yet but it sounds very relevant. Thanks! | Would it be possible for everyone to have a pretrained data set such that when they query Almond, a reasonable response is returned, and then with each additional query, the data is uploaded (as an anonymous data point) to the global Almond model such that all users can reap the benefits of the extra training? | I got a little bit of insight into watson from high level architecture but didn't get a feel of internals. I understood the difference between the capabilities of watson and almond. Gamification of data collection was a cool way to think about the problem. Data programming as a concept was interesting to scale data annotation. | It was awesome to get some expsoure to watson and Turk. I knew nothing about the state of watson after jeopardy. I would have enjoyed lower level details but that's cool | I didn’t know that I could actually leverage Watson in my own work; that’s pretty cool. It was also nice to see some of the more complicated rule-based functionality behind Almond, although it seems rather labor intensive to set up. | Watson seemed to have a structured, yet relatively basic framework for NLP analysis. Almond seemed less structured, more in its infant stages, but semed to have a lot more potential for complex NLP comprehension. It was great to get an introduction to both and we will definitely check them out when building in the NLP aspect of our virtual assistant! | ||
5 | May 4 | NLP Semantic Parsing | It was nice to hear about the specifics of NLP semantic parsing like with supervised intent extraction and classification or beam search algorithm. Seems like quite a challenge, and I do wonder how these algorithms could be improved for both higher precision and recall and extensibility. | Doing this well in our app is going to be a challenge so it was useful to learn about the strategies we should try to have some semblance of NL understanding in our virtual assistant. | This class was really helpfull for me in terms of getting even more exposure to NLP and semantic parsing. SInce I don't know a lot about this topic it was a little hard to understand a lot of what was going on but it was great to get at least some insight. | This was a very useful presentation for my team, as we were not aware of the End-to-End method of semantic parsing. This seems like it would be applicable to our Q&A interface, where the user will only have a finite set of possible inputs/outputs. | It was a very interesting presentation of semantic parsing and I did not know of several methods like the tree method or other ML approaches like supervised intent extraction, etc. | Although we didn’t plan on doing any NLP within our application, this lesson was very informative about how NLP actually works. I’m an HCI major so my knowledge of neural networks was very subpar before this. | Seems like a cool and difficult task. Would using logic programming help? Specialized assistants seem like they'll have much easier time doing this, seeing the Applications slide. Cool to learn the differences among classifier/entityextraction, sempre, and sequence to sequence. | Good overview of different natural language processing and understanding methods. While from an application standpoint (as all our projects but the NLP-specific one are from) ideally most of the natural language heavy lifting would be abstracted away, it's still good to know the details of the algorithms and definitely helpful to understand the higher level pros and cons. | This was a useful presentation for figuring out which methods of NLU would be useful for our projects. I was somewhat familiar with the different methods for NLU from other classes, but not the pros and cons. Also, thank you for highlighting how varied or difficult spoken commands can be for things such as turning on the lights, as that would be a command similar to the ones we would be using for our project. | This was a great overview of NLP methods. My impression is that most people in this class want to minimize how much they need to think about this, but it's great to know what's available | Thanks for the interesting discussion on NLU. Honestly, even though I've taken an NLP class before, I've never really known how neural nets work beyond just being a fun buzz word. It's cool how powerful it is and how much we can do with it. Even cooler how it emerged so recently. | Very clear overview of NLP. I think the way neural nets were explained was awesome. Often they seem like some mysterious and magical thing, but you broke it down into their parts, and showed how they stack up linear transformations and non-linear activation functions. | (was absent from class - sister's graduation ceremony) | I haven't done much at all with NLP in the past, and I learned a lot about the step-by-step process of semantic processing. I assumed there was some type of preprocessing and grammar rule expansion, but this was my first exposure to the individual steps to expand the grammar and how the scoring process works. | Comparison between SP and E2E, comparison among different SP techniques are really helpful for all students to find out which direction we should go for our own projects. | I'm always impressed by how complicated NLP can be. It was nice to hear about some of the non-ML parts of the process, since it feels like the emphasis these days is mostly on the benefits of ML and less on how we can combine ML with other logical/semantic parsing techniques. | This was a great introduction to NLP techniques/methodology. This presentation really showed me the power that NLP can hold for our virtual assistants and for future technology. | |||||||||
6 | May 9 | NLP Everything Else | Interesting overview of various NLP systems. I liked the examples like the Netflix recommendation and boss/worker relationships like Homer/Mr.Burns. Some of the stuff like Naive Bayes I had already seen before, but it was a nice refresher. | I thought this was a useful review of NLP material like from 124 and was a valuable reminder of the tools available to us. Quin's machine learning walk-through was also interesting. It would hvae been nice to know if there are some 3rd party tools that make all this stuff easy | <unwell> | You gave a good overview of NLP topics. I think you covered a relevant set of topics from sentiment analysis to recomendation systems. Overall, I think you provided a nice rundown of 124 topics, and will be usefull to groups trying to apply these ideas. | It was a very thorough and highlevel review of collaborative filtering and other reccomender systems. While it may not have much use in our project, the review was a good foray into how it could be applied to other's specific dialogue systems. | Semantic parsing seems like an interesting problem to solve. I’ve never taken any machine learning classes so the suggestion model and the relation model were new to me, but you guys did a great job in explaining them. The Naive Bayes algorithm is something I learned back in my freshman year but it was great to get a refresher. | I presented today. | I've already taken CS124 so I had seen pretty much all the information before, but it was still good to have a review. I especially liked thinking about implicit vs explicit data collection and how it applies to my own project. I also really enjoyed our conversation at the end on predicting variables and methods while programming. | Thanks for giving a review of the different applications of NLP. Also, thank you for explaining the state-of-the-art for the relation extraction. It would have been nice ot have smilar explanations for the other topics but current methods were at least touched upon. | Spell checking is definitely an interesting topic, because I think it can also be extended to domain-specific language that may not be found in the dictionary. This would be extremely useful to virtual assisstants | presented | The section of amazon/netflix recommendation systems was incredibly interesting. There is a lot that goes into those recommendations that I had never consider. Especially the netflix recommending movies based on the features of the movie. I had previously thought it was solely based in user reviews. | I recognized several of the slides from CS124, but even though I've had some prior exposure to most of the topics today, I still thought that this was a good review of some relevant techniques in NLP. Everything was explained concisely, though at times very briskly, although there was a concientious effort to offer concrete examples to illustrate more abstract or mathematical ideas. I found the deep learning runthrough and breakdown of a current architecture to be very helpful, as neural networks are a topic I have a low level of understanding on. | presented | Super interesting presentation! I am currently taking CS109, and it was great to hear a little bit more about how the implementation of the theory I'm learning works. Also glad you talked about spell checking since I didn't know anything about how it works before today. | What role does sentiment analysis in virtual assistance? The content-based and collaborative filtering is quite interesting. Thank you very much! For relations, what if you have conflicting information? What if information changes over time? Would you constantly scan things online to update the relations? | Great E2E intro overview of sentiment analysis, thanks! | i presented. | I had a good refresher on CS124. The NN for relation extraction was cool. | Good refresh on the foundamentals. | You guys did a great job giving an overview of lots of different aspects of NLP. We're not building an NLP system for our project, but it's still nice for me to hear a little bit about all the different topics you discussed. I particularly liked hearing about sentiment analysis. | The part on recommender systems was incredibly helpful because it could help our virtual assistant to recommend meals based on a user's preference and FDA data on macros. I have never taken 124 before so learning about content-based systems and collaborative filtering were super interesting! | ||||
7 | May 11 | Voice / speech | Seems like a cool exciting area. Didn't know much beforehand but it was interesting to hear about different research like the mimicking human speech and Andrew Ng's/Baidu's stuff. Enjoyed the discussion about Xiaobing and accents. | Interesting presentation. I enjoyed the overview of the math behind voice and speech recognition technologies | I thought you did a good job of explaining the basic mathematical principles behind spoken language processing. Having taken 224N, not 224S, it was interesting to see the extra complexity introduced by things such as biological factors, which I did not run into in 224N. | I thought you guys had a great explanation of neural networks. I have not taken any neural networking classes and it was cool to see the actual process broken down into simple mathematical stages. My favorite section was the Gaussian Mixture model. | I'm surprised processing voice with neural network is cheap in storage space and calculation time. Very relevant to my project. Interesting discussion on text to speech about algorithms versus machine learning, statistical approach. Cool to see how deep learning is making hyperrealistic speeches (also DeepMind created one). | Overall, really interesting presentation on a topic I haven't learned much about. I wasn't familiar with the Gaussian Mixture Model and I thought you described it very well! I also hadn't heard of frame-based dialogue before so thank you for elaborating on that. | Good recap from some stuff from 124. Really enjoyed the conversation about Microsoft's Xiaobing - curious whether it is applicable to different cultures other than China. | Really interesting about how speech is being made more realistic through Andrew Ng's research. Great job of showing exactly what goes into speech recognition, starting with the basics of just phoneme spectograms. Implicit vs Explicit speech recognition was not something I had considered before. | This was a very nice preview of content from CS 224, and I feel that I have a better intution how neural networks can be used to transcribe speech to text. I'm pretty intrigued by the text to speech/speech generation area and how that can be made to sound natural. Seems that this needs to incorporate both speech to text and semantic understanding to effectively process just how to voice a sentence or phrase. | Great intro to phonemes, transcription, and the mathematical models involved in spoken language processing. I also liked the descriptions of techonologies involved with voice/speaker recognition as well as the best interfaces for dialogue agents. | Really interesting overview of NLP. I didn't have a good understanding of how neural networks work before today, and this definitely made me interested in taking CS224! | presented | Great talk, I took cs224n but not cs224s, so really appreciated when you guys explained concepts like phonemes. Didnt know Andrew Ng was so active in the speech recognition space. | I got a really good background on the technical model used in speech processing. Was interested in the entire speech pipeline that was presented. Speaker recognition as the direct application was interesting. would be interested to hear how easy is it to fool the speaker id. Dialog management was really clear and interesting to understand all the parts of a successful pipeline. | <unwell> | I don't know much about this area. It's great to see the high level architecture and the usage / api in industry. It's interesting to see how text-to-speech pretending a speaker competes against speeker recognition, especially in security applications like banks. In almond, the confirmation is really complex and sometimes even confuses users. One solution might be to use frame-based dialogue and implicit confirm in each step. | <unwell> | This was a very thorough presentation on speech recognition which is a topic I know very little about. We are not implementing a speech-based virtual assistant, but it would be interesting to see how assistants react to user with accents! | ||||||||
8 | May 18 | Display (big screen, VR) | Interesting use cases for VR. Facebook Spaces is an interesting idea with a lot of cons as pointed out in the discussion. I learned a lot about some of the downsides of VR like the discomfort of people experiencing VR and how to reduce that with the fixed reference point to minimize dizziness. Personally, I've found VR gives me headaches and it was nice to learn about possible factors that contributed to that. | I think you did a good job explaining the general pains/gains of current VR technology. One area that you didn't cover but might be interesting to look into is the idea of haptic feedback and physical engagement within the VR space. One cool example of this is Intuitive Surgical's daVinci robotic telesurgical platform. This platform allows surgeons to remotely perform surgery from a console, given a limited VR feed. However, the biggest barrier to adoption within the military for this platform is the lack of haptic feedback when performing surgery. I would be interested to see the applications of additional haptic feedback in VR systems. | Good job with your lecture on VR. I had never heard of VR sickness and it is a very intereting concept that makes a lot of sense. I also think you did a good job discussing what top of the line VR models look like right now and how people are building into the space. Good job! | The discussion about the technology behind the different strategies of VR was very interesting. I thought fact about the nose preventing motion sickness was an interesting, funny fact. I wish you took more time to discuss how the software is developed within VR. | Learnt a lot about how VRs track your location using lighthouses. Interesting to think about how VR will take off in social by adding remote locations and games. Can really see great applications in training and education. Textbooks are limited to 2D and VR can bump it up to 3D. It's funny that simple thing like nose helps, but only by 100 seconds. | I've worked quite a bit in VR so I was already familiar with a lot of the material. I haven't worked with Unity though so it was interesting to learn how it's different from the platform I'm more familiar with, Unreal Engine. | A lot of good discussion. With VR being something that is still being worked on and refined, it was awesome that you guys took time to sort of talk about what's going on and weigh in on it, as opposed to listing out facts. I had no idea Facebook had its own VR project, so that was cool to hear about. | Interesting presentation that sparked a valuable discussion on what VR can potentially be used for and what needs to improve to get it to the next level. VR has always been something I believed was quite removed and a long way from being put into use; I had no idea development and research was so ubiquitous and varied. | Nice start - "What is VR?" is a very common question! I also appreciated the description of the physical technologies involved in VR - using IR sensors to track motion, for example. The discussion on the applicability of VR to friendly interactions like "Facebook Spaces" was interesting as well, and the explanation of modern techniques for reducing the motion sickness-like feeling that happens with VR was pretty cool. | I appreciated that your group touched a bit on some of the risks/questions that the average person has about VR (how it can be helpful, whether it can be helpful at all, etc.) I also thought the discussion was great. I personally am not so sure about how I feel about VR, and it was interesting to hear the thoughts of your group and our classmates. | It'll be very interesting to see how virtual reality will be used to connect peope together. I would hope that in the future virtual reality will be used to create experience that are not possibe in reality. Replicating reality in a way that it is better than reality is trickey. | Having no prior experience in VR, this was a very informative session on technical details of vision and other hci components of VR. The various applications such as entertainment and training were also cool to know about. | Interesting for you guys to touch on VR sickness. I've personally used Google Cardboard, and experienced much nauseousness, and it was definitely cool for you guys to break down the factors that cause this. It's definitely a huge issue for many people. | Discussion on the different VR technologies and how they track was very interesting. facebook spaces was just creepy. the rules developers need to keep in mind was useful. the discussion of the ar vs vr was useful | Really interested to see the hardware components of VR explored | Wondering how to train doctors and pilots using VR since they both need to do lots of precise operations wihch probably can't be done by the VR handset. | I liked hearing about the different use cases people have come up with for VR, since one of the things that bothered me in the past about VR was that it didn't seem practical or useful. It would be nice to hear more about the differences between different VR systems that exist right now, since there seem to be so many. | REally interested to se how VR could be made more attainable for general populations and how it could be used for the everyday man. | ||||||||
9 | May 23 | IoT | Cool range of topics like show and tell and security. Was especially interested in the security issue because I keep hearing about how IoT is really insecure which kind of makes IoT unattractive to me. I'm a bit troubled that there are so many existing insecure devices and just general unawareness of how insecure many IoT devices are. I like the many uses of IoT but the often lack of security is troubling. | presenting | Another cool connectivity protocol that you didn't mention is Ultra-wideband network, which is especially useful for interacting with a suite of sensors where specific location is important. | I liked your range of topics. It was fun to bring in some devices and pass them around too. That was a very engaging activity. Overall, I think you did a good job discussing the benefits of IOT devices and the potential harms from security. | The introduction of IoT's impacts on specific sectors was very good in helping determine just how large the system is/is going to be. Very good way to bring the size of the topic to scale and to show some of the domain-specific complexities that IoT can address | This was a very iteresting discussion. I thought that the moral discussion of IoT development was a little bit of a stretch, but you guys brought up some interesting points. I wish you could dive more into the other sectors of IoT. | Security is an interesting topic for IoT, since as Professor Lam pointed out at the beginning of this quarter, people these days don't seem to care about privacy. It's like they became accustomed to having their accounts hacked, or servers of services they use hacked, or social networks take their info all the time. So I wonder how much that security issue will actually lead to customer decision to purchase or customer satisfaction. Well balanced between promises and concerns of IOTs! | Presented today! | The potential for security issues in IoT is extremely scary and I think you guys made that pretty evident. However, that's definitely balanced against the need to innovate, so I'm interested in seeing where the internet of things goes over the next decade | So many cool fun applications for IoT! Would be cool to hear about the problems within IoT industry rightn ow, especially concerning things like Nest's declining sales, etc | I really love the range of your presentation. I found it very interesting how you progressed through your topic. Starting with a background, moving into examples in the world, and then getting into more specifics and issues with IoT. Great job! | I liked how the presentation touched on multiple aspects of IoT, particularly the challenges, namely security and making it something that really does something additional for end users. As the presentation rightfully argues, security can never be an afterthought in software engineering and it is especially important with IoT devices, especially as they continue to proliferate. Seems that you guys really took the lessons from CS155 to heart! | Maybe include name and date at the start of the presentation next time? Take credit for your good work! I also liked the very logical progression - from history, to current applications, to challenges/future issues, to more specifically security issues, to ethics. | presented | Good range of topics talked about. Found all apsects of the talk really interesting. Loved the portion about the security. Thank you for the excellent summary of the software stack. And of course the show and tell. There are certainly many donwsides to IOT. Hopefully though in the future we'll figure these out so that we can enjoy the many benefits! | Didnt know IOT was prevalent in so many different sectors, and all the challenges associated with the massive flow of data and low latency demands. Enjoyed this talk! | Learnt interesting applications of IoT. Especially didn't know the impact on agriculture. the system architecture for IoT devices was very modular and I understood how to layer them with the different choices at each level. security considerations were eye opening but are there tools for developers out there to actually check these things before shipping? show and tell section was so cool! ethics discussion was fun to contribute | THe challenge of storing data was particularly interesting. For the outside user, there is little consideration of the challenges like this so it was great to see it laid out in such a clear way | Good to know some stats and facts of IoT applications in industy. Security issue about IoT part is really interesting. | I liked the flow of the talk from one section to the next. It was interesting to learn about a bunch of different applications/IoT devices - I wasn't aware that it was already prevalent in so many different fields. | presented | |||||
10 | May 25 | Health | presenting | great presentation. I enjoyed hearing about the remote surgical devices in use right now | Good job fitting so many topics into 1 section. I think you all gave a very interesting overview of helth technology topics. It is really interesting to hear about virtual assistants for so many types of care. The range from mental health to field surgery is awesome and I learned a lot of topics from your talk. | The challenges posed for the longer term service was very interesting and hit a bit close to home. The introduction of gamification as a current source of adherence was interesting though I wonder what concrete analytics have been gleaned from app usages on the appleWatch for instance on the Healtcare front. | My presentation | Cool to learn that AIs are better at getting truth from human patients than doctors, for social reasons. Interesting case study of Senseley using various different wearables for tracking health factors. Did not know that motivation issue is a thing. Gamification, which would be easier through digital assistant than human doctor, is helpful. | Interesting presentation covering a broad range of topics. I enjoyed learning about how gamification is being used. I liked the examples of VR games and thought DeepVR especially was really cool. I was quite surprised by the schizophrenia study that was based on only 30 people. I though a much larger sample size would be needed to extract any meaningful conclusions. | Cool to see how people use apps/VR/etc. to deal with mental health issues, given how much more knowledge we have on those illnesses now. Especially nice to see how people use social media to gather data for finding people who mightb e suffering from depression and others. Also, thank you for going a bit more in-depth on the uses of VR for mental health. | Thanks for the interesting presentation. I like all the gamification aspects of heath-tech. It's very relevant to our project (nutricoach) and I think we'll be implementing a lot of the things you talked about. The chatbot reminding you to take meds was very similar to our concept for our virtual assistant. | Medical care and is one of the biggest industries, so I shouldn't have been surprised that there are a lot of technologies for mobile health care, and yet I was still blown away by the sheer volume of applications and approaches. I found the portion on mental health care to be the most interesting and am encouraged to see that some illnesses such as schizophrenia, can be diagnosed with almost certainty. Still, it seems treatment options via apps or virtual assistants is far away for conditions like depression. Is there any way counselling or therapy can be targetted for disorders that are hard to manage and treat by oneself? | Awesome to start with facts that motivate the need for solutions to the various health issues of people in the U.S. | Mediciation track is probably great for older people who are likely to forget things! I think about of this comes down to understanding the psychology of the patients who are having diseases to know how to motivate them to use these technologies. Gamification for sick people is an interesting concept. I think asthma patients would want to knowthe frequency of their symptoms at various locations during various seasons/time of the year. This may provide information for them to know where they want to live to avoid symptoms. | Great overview of uses and limitations of IoT and VAs in Health. Apt use of media and videos as well, thanks! | Discussions around technology in health were interesting. Learnt the ways people are applying for different cases like asthma, mental health or just fitness. VR and AR techniques were really cool. Was wondering if people have used these for older demographics with more need for care but less technologically capable. | Interesting to see how limited the current companies are on health care virtual assistant (and these companies are winning awards!) Gamification has been proved to be one of the best ways to motivate users, however it conflicts with the privacy issue in health care filed. Wonder if there are solutions to gamify without loss of privacy. Suprised by how much mental illness/schizophrenia are related to social media and speech of indivduals. | presenting | ||||||||||
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