“Keith was my instructor who taught the user research curriculum for the product design course at Alpha Camp. His classes were taught in such a way that it was easily understandable for someone like me with no background in this particular area. He also takes the time to make sure that his students thoroughly understand the material. You can feel his passion and excitement for user research in the way that he teaches. He is definitely an expert in his field and would often draw upon his unique design and engineering background to help his students see things in a new perspective. Keith is an amazing instructor and mentor. I would highly recommend him.”
About
I'm curious about how technology changes the way we work, play and engage with one…
Activity
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Inspiring meet up with the Decathlon innovation team! Really impressed with their mission of rethinking sports for everyone! No wonder they are the…
Inspiring meet up with the Decathlon innovation team! Really impressed with their mission of rethinking sports for everyone! No wonder they are the…
Liked by Keith Oh
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Glad to be part of the Made in Singapore - The Design Stories at Jewel Changi where 15 alumni of Temasek Poly - School of Design (TP Design)…
Glad to be part of the Made in Singapore - The Design Stories at Jewel Changi where 15 alumni of Temasek Poly - School of Design (TP Design)…
Liked by Keith Oh
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Happy to have Wei Quin Yow and students from SUTD Master of Technology & Design students over at Carousell Group for a visit. I graduated from my…
Happy to have Wei Quin Yow and students from SUTD Master of Technology & Design students over at Carousell Group for a visit. I graduated from my…
Shared by Keith Oh
Experience
Education
Volunteer Experience
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Mentor
Singapore University of Technology and Design (SUTD)
- 2 years
Education
I mentor students on the Design Odyssey program with a focus on social innovation.
Publications
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Risk assessment and horizontal scanning scenario builder: developing a systematic approach to assess risk of importation of avian influenza (H5N1)
Ministry of Health, Singapore
The risk of importation of human H5N1 infection from an infected area is determined by a few key decision makers based on their expert knowledge on the disease characteristics and the prevailing global situation. This may not be ideal as it overly relies on the subjective knowledge of the various experts. The risk assessment and horizontal scanning (RAHS) scenario builder seeks to translate this decision-making process into a systematic approach of assessing importation risk by identifying risk…
The risk of importation of human H5N1 infection from an infected area is determined by a few key decision makers based on their expert knowledge on the disease characteristics and the prevailing global situation. This may not be ideal as it overly relies on the subjective knowledge of the various experts. The risk assessment and horizontal scanning (RAHS) scenario builder seeks to translate this decision-making process into a systematic approach of assessing importation risk by identifying risk factors that will have an impact on the importation of human H5N1 infections.
Other authors -
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Predicting visual focus of attention from intention in remote collaborative tasks
IEEE
While shared visual space plays a very important role in remote collaboration on physical tasks, it is challenging and expensive to track users' focus of attention (FOA) during these tasks. In this paper, we propose to identify a user's FOA from his/her intention based on task properties, people's actions in the workspace, and conversational content. We employ a conditional Markov model to characterize a subject's FOA. We demonstrate the feasibility of the proposed method using a collaborative…
While shared visual space plays a very important role in remote collaboration on physical tasks, it is challenging and expensive to track users' focus of attention (FOA) during these tasks. In this paper, we propose to identify a user's FOA from his/her intention based on task properties, people's actions in the workspace, and conversational content. We employ a conditional Markov model to characterize a subject's FOA. We demonstrate the feasibility of the proposed method using a collaborative laboratory task in which one partner (the helper) instructs another (the worker) on how to assemble online puzzles. We model a helper's FOA using task properties, workers' actions, and conversational content. The accuracy of the model ranged from 65.40% for puzzles with easy-to-name pieces to 74.25% for puzzles with more difficult-to-name pieces. The proposed model can be used to predicate a user's FOA in a remote collaborative task without tracking the user's eye gaze.
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An experiment in machine-augmented sensemaking in intelligence analysis
ICCRTS
Singapore has developed a prototype Risk Assessment and Horizon Scanning (RAHS) system in collaboration with The Arlington Institute and Cognitive Edge, with the aim to provide analysts with an extensible suite of tools for data exploration and data exploitation based on a service-oriented architecture. The RAHS system facilitates the extraction of open source information into repositories, which are then available to analysts for search and retrieval by means of various tools to augment the…
Singapore has developed a prototype Risk Assessment and Horizon Scanning (RAHS) system in collaboration with The Arlington Institute and Cognitive Edge, with the aim to provide analysts with an extensible suite of tools for data exploration and data exploitation based on a service-oriented architecture. The RAHS system facilitates the extraction of open source information into repositories, which are then available to analysts for search and retrieval by means of various tools to augment the human users' sensemaking process. This paper describes how the RAHS system may be used in the analysis of a massive amount of data, drawing examples from open source material available on the Internet. In addition, this paper also presents a limited experiment in which analysts were presented with the task of exploring a set of documents related to a fictitious terrorist organization in order to identify the roles and responsibilities of the various people linked to the terrorist organization. A simple comparison regarding the workflow, efficiency, and effectiveness of a RAHS analyst is made to that of an analyst equipped with a traditional search engine. Finally, the lessons drawn from this experiment are presented that point to the possible way ahead for future versions of the RAHS system.
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Sharing a single expert among multiple partners
ACM
Expertise to assist people on complex tasks is often in short supply. One solution to this problem is to design systems that allow remote experts to help multiple people in simultaneously. As a first step towards building such a system, we studied experts' attention and communication as they assisted two novices at the same time in a co-located setting. We compared simultaneous instruction when the novices are being instructed to do the same task or different tasks. Using machine learning, we…
Expertise to assist people on complex tasks is often in short supply. One solution to this problem is to design systems that allow remote experts to help multiple people in simultaneously. As a first step towards building such a system, we studied experts' attention and communication as they assisted two novices at the same time in a co-located setting. We compared simultaneous instruction when the novices are being instructed to do the same task or different tasks. Using machine learning, we attempted to identify speech markers of upcoming attention shifts that could serve as input to a remote assistance system.
Other authorsSee publication -
Using linguistic features to measure presence in computer-mediated communication
ACM
We propose a method of measuring people's sense of presence in computer-mediated communication (CMC) systems) based on linguistic features of their dialogues. We create variations in presence by asking participants to collaborate on physical tasks in four CMC conditions. We then correlate self-reported feelings of presence with the use of specific linguistic features. Regression analyses show that 30% of the variance in self-reported presence can be accounted for by a small number of…
We propose a method of measuring people's sense of presence in computer-mediated communication (CMC) systems) based on linguistic features of their dialogues. We create variations in presence by asking participants to collaborate on physical tasks in four CMC conditions. We then correlate self-reported feelings of presence with the use of specific linguistic features. Regression analyses show that 30% of the variance in self-reported presence can be accounted for by a small number of task-independent linguistic features. Even better prediction can be obtained when self-reported coordination is added to the regression equation. We conclude that linguistic measures of presence have value for studies of CMC.
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Analyzing and predicting focus of attention in remote collaborative tasks
ACM
To overcome the limitations of current technologies for remote collaboration, we propose a system that changes a video feed based on task properties, people's actions, and message properties. First, we examined how participants manage different visual resources in a laboratory experiment using a collaborative task in which one partner (the helper) instructs another (the worker) how to assemble online puzzles. We analyzed helpers' eye gaze as a function of the aforementioned parameters. Helpers…
To overcome the limitations of current technologies for remote collaboration, we propose a system that changes a video feed based on task properties, people's actions, and message properties. First, we examined how participants manage different visual resources in a laboratory experiment using a collaborative task in which one partner (the helper) instructs another (the worker) how to assemble online puzzles. We analyzed helpers' eye gaze as a function of the aforementioned parameters. Helpers gazed at the set of alternative pieces more frequently when it was harder for workers to differentiate these pieces, and less frequently over repeated trials. The results further suggest that a helper's desired focus of attention can be predicted based on task properties, his/her partner's actions, and message properties. We propose a conditional Markov model classifier to explore the feasibility of predicting gaze based on these properties. The accuracy of the model ranged from 65.40% for puzzles with easy-to-name pieces to 74.25% for puzzles with more difficult to name pieces. The results suggest that we can use our model to automatically manipulate video feeds to show what helpers want to see when they want to see it.
Other authors -
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Effects of task properties, partner actions, and message content on eye gaze patterns in a collaborative task
ACM
Helpers providing guidance for collaborative physical tasks shift their gaze between the workspace, supply area, and instructions. Understanding when and why helpers gaze at each area is important both for a theoretical understanding of collaboration on physical tasks and for the design of automated video systems for remote collaboration. In a laboratory experiment using a collaborative puzzle task, we recorded helpers' gaze while manipulating task complexity and piece differentiability…
Helpers providing guidance for collaborative physical tasks shift their gaze between the workspace, supply area, and instructions. Understanding when and why helpers gaze at each area is important both for a theoretical understanding of collaboration on physical tasks and for the design of automated video systems for remote collaboration. In a laboratory experiment using a collaborative puzzle task, we recorded helpers' gaze while manipulating task complexity and piece differentiability. Helpers gazed toward the pieces bay more frequently when pieces were difficult to differentiate and less frequently over repeated trials. Preliminary analyses of message content show that helpers tend to look at the pieces bay when describing the next piece and at the workspace when describing where it goes. The results are consistent with a grounding model of communication, in which helpers seek visual evidence of understanding unless they are confident that they have been understood. The results also suggest the feasibility of building automated video systems based on remote helpers' shifting visual requirements.
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ShareComp: sharing for companionship
ACM
We describe our process, findings, and resulting solution for the CHI2005 Student Competition. The design problem was the issue of well-being of persons above the age of 65 years. Loss of a companion can be a primary cause of depression, and decline of social well-being and health for the elderly, so the challenge is to design for "artificial" companionship to support the elderly. We met this challenge by employing extensive research in geriatric psychology, empirical and analytical…
We describe our process, findings, and resulting solution for the CHI2005 Student Competition. The design problem was the issue of well-being of persons above the age of 65 years. Loss of a companion can be a primary cause of depression, and decline of social well-being and health for the elderly, so the challenge is to design for "artificial" companionship to support the elderly. We met this challenge by employing extensive research in geriatric psychology, empirical and analytical human-computer interaction methods, interaction design techniques, and technologies currently available or in development. Our solution is a wearable and stationary device that will allow the user to 1) record events through pictures and audio for sharing, 2) gather artifacts of their past such as photographs into a multimedia slideshow format for sharing with others, and 3) allow friends and family to be aware of the user's location for safety purposes.
Other authorsSee publication
Projects
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Sensis
We helped Sensis develop an internal innovation and development capability. In three phases over the course of a year, we worked to first develop concepts within our team, then co-creating with their internal teams, and then ultimately across multiple internal teams, in effect building an accelerator with the company.
Other creatorsSee project
Languages
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English
Native or bilingual proficiency
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Chinese
Native or bilingual proficiency
Recommendations received
9 people have recommended Keith
Join now to viewMore activity by Keith
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*** SUTD Master of Technology & Design (MTD) students visit Carousell! *** Our MTD-Human-Centred Design (HCD) students had an amazing opportunity to…
*** SUTD Master of Technology & Design (MTD) students visit Carousell! *** Our MTD-Human-Centred Design (HCD) students had an amazing opportunity to…
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I'm excited to share my personal journey behind MirthPaws. 😇 After the heartbreaking loss of our own pet last year, I felt a deep responsibility to…
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This is Day 1 🌅 #ux #design #InsideGovTech
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Love is in the air, love delivered! This Valentine’s Day, GoGoX teamed up with Floristique to deliver their stunning floral arrangements. We're so…
Love is in the air, love delivered! This Valentine’s Day, GoGoX teamed up with Floristique to deliver their stunning floral arrangements. We're so…
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I got laid off last December. Together with 75 of my other coworkers. As simple as it sounds, it took me 3 months to be able to share with my…
I got laid off last December. Together with 75 of my other coworkers. As simple as it sounds, it took me 3 months to be able to share with my…
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Dell Experience Design Group Singapore designers taking some time off work this morning to serve the community of MacPherson. Using the simple and…
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After 8 years of operating as a full service boutique consultancy, AGENCY (Singapore) has evolved to an asset-light business. No more office, no more…
After 8 years of operating as a full service boutique consultancy, AGENCY (Singapore) has evolved to an asset-light business. No more office, no more…
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We’re excited to be one of OpenAI's early research preview contributors for how its new AI agent, Operator, could unlock new possibilities for…
We’re excited to be one of OpenAI's early research preview contributors for how its new AI agent, Operator, could unlock new possibilities for…
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When an ecosystem and a community comes together, a strong foundation is formed to drive forward global sustainable initiatives. At the NSEW2050…
When an ecosystem and a community comes together, a strong foundation is formed to drive forward global sustainable initiatives. At the NSEW2050…
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I’m always amazed to hear stories about how people have found unique furniture pieces for their homes, at great prices. In some cases, I’ve even…
I’m always amazed to hear stories about how people have found unique furniture pieces for their homes, at great prices. In some cases, I’ve even…
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2024 was challenging, but I got through it with the best teammates & clients. Here’s to 2025! Jane Ng Jonathan Yap Lam Xinni and, of course…
2024 was challenging, but I got through it with the best teammates & clients. Here’s to 2025! Jane Ng Jonathan Yap Lam Xinni and, of course…
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🎉 The SDSG Inaugural Event of 2025 is Here – Let’s kick off the year with Keith Oh from Carousell! Join us for the first Service Design Singapore…
🎉 The SDSG Inaugural Event of 2025 is Here – Let’s kick off the year with Keith Oh from Carousell! Join us for the first Service Design Singapore…
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Gave a talk at Service Design Singapore just before CNY. It feels like community organised design events died down in SG quite a bit over the past…
Gave a talk at Service Design Singapore just before CNY. It feels like community organised design events died down in SG quite a bit over the past…
Shared by Keith Oh
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