DMATS-Decision making in advanced technological system - Poster conference

Ben-Gurion University

Decision making in advanced technological system, Graduate course, BGU.

In this poster conference, graduate students of the course DMATS at BGU present their individual class work.


More info: https://talorongilad.com/2022/06/21/decision-making-in-advanced-technological-systems/

Filter displayed posters (79 keywords)

Decision making (2) Diagnosis (2) Human-Robot Interaction (2) Machine learning (2) show more... ADAS - Advanced driver assistance systems; PAS - Partial automation system; Secondary tasks management; Driver’s behavior; Driver’s decision-making; Driver’s behavioral adaptation; Mental-model; (1) Affective Computing (1) Algo trading (1) Amyotrophic Lateral Sclerosis (1) Anomaly detection (1) Aversion to change (1) Carbon emissions (1) Cellular traffic (1) Clinical Decision Support System (1) Cognitive biases (1) Decision support systems (1) Decision-making (1) Design (1) Elections (1) Emotions (1) Facial Expressions (1) Framing effect (1) Game theory (1) Gerrymandering (1) Graves’ disease (1) Human-robot interaction (1) Hyperthyroidism (1) In-vehicle automation (1) Interaction (1) Iterative games (1) LoA-levels of automation (1) LoT- levels of transparency (1) Medical Decision (1) Navigation aiding (1) OEE - Overall Equipment Effectiveness (1) Pandemic (1) Proxemics (1) Risk aversion (1) Robot navigation (1) Robots (1) Semantic mapping (1) Simulation (1) Social Robotics (1) Social aware (1) Social mapping (1) Social navigation (1) Social recommender systems (1) Sustainability (1) Trust Driving performance (1) Ulcerative colitis (1) Uncertainty handling (1) automation (1) capital market (1) child-pedestrian (1) covid (1) crosswalk (1) decision aids (1) decision making (1) diagnosis (1) fake news (1) human (1) human-computer interaction (1) investments (1) machine (1) media (1) participatory design (1) patient (1) reliable (1) rider (1) road crossing (1) road safety (1) route selection (1) safety (1) scooter (1) shared decision making (1) stocks (1) treatment (1) user interfaces (1) vaccination (1) waze (1)
Show Posters:

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Room 19 - Decision making in dating apps

Galit Flikshtein

Abstract
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Presented by
Galit Finkelstein
Keywords
Social recommender systems, human-computer interaction, user interfaces, decision aids
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Available June 23 2022, 14-17

Room 11 - Decision making regarding the reliability of information

Alen Levi and Tomer Freiman

Abstract
Decision making regarding the reliability of information
Presented by
Alen levi & tommer
Keywords
fake news, reliable
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Available June 23 2022, 14-17

Room 12 - Decision making through technical analysis in the capital market

Melody Azran, Moshik Mishaeli, and Ortal bitkover

Abstract
Presented by
Melody Azran
Keywords
Algo trading, capital market, stocks, investments
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Available June 23 2022, 14-17

Room 13 - Reverse Gerrymandering With a heterogeneous population in its aversion to change

Ruth Ariel

Abstract
need to add
Presented by
Ruth Ariel
Keywords
Elections, Gerrymandering, Game theory, Iterative games, Aversion to change, Simulation
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Available June 23 2022, 14-17

Room 18 - Un-supervised learning for detection of cellular data anomalies - Isolation Forest

Almog Elias, and Almoznino Maymon

Abstract
כניסתו של עידן ה-5G ברשתות הסלולאריות הביא לגידול בתעבורת נתונים אלחוטיים, בעוד שהכנסתו מציב דרישות גבוהות יותר מספקיות התקשורת (מפעילי הרשת) כדי להבטיח למשתמשים את שירות הסלולר. תכנון של רשת סלולרית מתמקד באופטימיזציה של אנרגיה ומשאבים המבטיחים שירות סלולר רציף בתקופות של עומס, שיבושים ותעבורה גבוהה יותר. רשתות סלולר מתקדמות דורשות ניהול יעיל ודינאמי של משאבים על מנת להתאים את עצמם לדרישות המשתמשים תוך חיסכון באנרגיה. נוסף על כך, תקיפת סייבר או שימוש לרעה ברשתות הסלולר עלולים לגרום לעומס יתר ובכך גם התקשורת הסלולארית עלולה לקרוס. אם מפעיל סלולרי היה מסוגל לצפות את השינויים הללו בתעבורת הרשת, הוא יוכל לקבל את ההחלטה הנכונה לניהול היעילות של משאבי הרשת בכדי לא לגרום לקריסה או שיבושים סלולריים.
Presented by
Almog Elias
Keywords
Cellular traffic, Anomaly detection, Decision-making, Machine learning
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Available June 23 2022, 14-17

Room 8 - How technological systems support or prevent the phenomenon of vaccination hesitancy

Coral Gimelberg and Karin Malka

Abstract
Vaccine hesitancy refers to the delay in acceptance or refusal of vaccines despite the availability of vaccination services. Media technologies play an essential role in people's decisions about vaccinations. We did an initial literature review to examine how technological systems affect the phenomenon of vaccination hesitancy.

Presented by
Coral Gimelberg
Keywords
media, covid, vaccination
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Available June 23 2022, 14-17

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Room 10 - Shared decision making for treating Hyperthyroidism and Graves’ disease

Shir Grinberg

Abstract
Graves' disease (GD) is an autoimmune disorder that can cause hyperthyroidism, or overactive thyroid. No treatment option is considered superior for all patient, therefore patients with GD face a daunting task in deciding with their endocrinologist which treatment option is best for them in their situation.
Presented by
Shir Grinberg
Keywords
Diagnosis, Hyperthyroidism, Graves’ disease, treatment, shared decision making
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Available June 23 2022, 14-17

Room 5 - Clinical decision support systems for diseases with lack of prior knowledge

Moraz Finegold, Roy Wolf and Shiraz Regev

Abstract
Decision support systems are very common in the medical industry. Most such systems are based on prior knowledge regarding the disease. However, there are many diseases in which there is a lack of prior knowledge, which means that these systems must operate with many uncertainties. For these reasons, we will want to review these areas in depth.
Presented by
Moraz Feingold
Keywords
Clinical Decision Support System, Amyotrophic Lateral Sclerosis, Machine learning, Diagnosis, Uncertainty handling
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Available June 23 2022, 14-17

Room 6 - Clinical decisions- the difference of decision making process by years of experience

Astar Mordechai and Chagit Friss

Abstract
The duration of time to diagnosis and determination of appropriate treatment for patients affects both the disease outcomes and the quality of life of the patient and the financial burden on the health system. Rapid diagnosis and treatment improve the quality of care and the wellbeing of the patient Clearly, the financial costs of the health system decrease significantly once time to diagnosis and time to treatment are reduced avoiding unnecessary tests or hospitalization. In this study we aim to examine whether there is a difference in the speed of decision making and the quality of decisions between Intern, Resident and Senior physicians.
Presented by
Chagit Friss
Keywords
Ulcerative colitis, patient, decision making, diagnosis
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Available June 23 2022, 14-17

Room 7 - Decision support systems in sustainability urban field

Moria Gabay

Abstract
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Presented by
Moria Gabay
Keywords
Sustainability, Carbon emissions, Decision support systems
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Available June 23 2022, 14-17

Room 9 - Parents decision to vaccinate children against COVID-19

Miriam Moscovici, Ori Ivgi

Abstract
The aim of our study is to analyze parent vaccination decision-making for children aged 5-11, in a comparation to the changes in the pandemic data presented to the public via the Covid-19 dashboard, and the changes in the government restrictions on unvaccinated population and the educational institutes .We executed a survey of parents that vaccinated their children, and analyze data shown in the Israeli ministry of health Covid-19 dashboard. Based on the initial results, can conclude that when the pandemic start spreading among children, more children vaccinated each day. This trend stop when the upcoming change in educational institutes policy announced (about a week before the change).

Presented by
Miriam Moscovici
Keywords
Pandemic, Medical Decision, Cognitive biases, Framing effect, Risk aversion
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Available June 23 2022, 14-17

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Room 1 - A Scoping Review of Emotion Models in Human-Robot Interaction

Viviane Herdel

Abstract
The possibility to enhance the communication between humans and robots using the display of robot emotions through facial features has been extensively researched in the Human-Robot Interaction (HRI) community. Despite the advancement in HRI, we lack a high-level perspective on the variety of used emotion models and their implementation to design emotions for robots. We present a holistic view of emotion models used in HRI to create facial expressions of emotions. To map the extent and nature of the prior research, we performed a scoping review (N=?). We identified eight different emotion models that are frequently used in the design process of robots’ emotional facial expressions, with Ekman’s basic emotions being the most incorporated emotion model in HRI. We then describe in-depth the implementation of emotion models, their representation (e.g., cartoon vs. realistic; mechanically actuated faces vs. faces rendered onto a screen), the variety of designed emotions and their recognition rates, as well as displayed facial features. We conclude with fundamental challenges and opportunities for future research in the field. This work contributes a systematic step toward the design of robot emotions and affective computing in Human-Robot Interaction.
Presented by
Viviane Herdel
Keywords
Human-Robot Interaction, Affective Computing, Social Robotics, Emotions, Facial Expressions
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Available June 23 2022, 14-17

Room 2 - A survey of social robot navigation

Ehud Nahum

Abstract
need to add
Presented by
Ehud Nahum
Keywords
Robot navigation, Social aware, Social navigation, Human-robot interaction, Semantic mapping, Social mapping, Proxemics
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Available June 23 2022, 14-17

Room 3 - Making decision in production assembly procesד at the automotive industry.

Yehuda Engelstein and Roy Yarhi

Abstract
Making decision in production assembly process at automotive industry
Presented by
Yehuda Engelstein, Roy Yarhi
Keywords
LoA-levels of automation, LoT- levels of transparency, Robots , OEE - Overall Equipment Effectiveness, machine, automation, human
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Available June 23 2022, 14-17

Room 4 - Developing Socially assistive robots (SARs) for the older population; assessing functional, behavioral, and design preferences

Adi Bulgaro

Abstract
For successful adoption, stakeholders must be involved in designing techno-logical solutions such as Socially Assistive Robots (SARs) in eldercare. The current study aimed to gather older adults' functional, behavioral, and design preferences of a personal SAR from real experimental interaction with a SAR. We used the "temi" (https://www.robotemi.com) robot with additional self-developed functionality to fit the results of our previous research. The experiments took place in a designated public room at Lehavim Palace Re-tirement home. Fifteen older-adult residence participants were invited one at a time to assess the robot's functionality, behaviors, and design by involving them in a participatory design process in which they could select the robot's visual appearance. The interactive part with the robot consisted of a brief in-troduction, a task that included remote controlling the robot while navigating it in the room, a cognitive activity task, and a chat with the robot. Each ses-sion took about 5-10 minutes. Participants expressed visible reactions and at-titudes toward temi, and a desire to continue using it in the future. In terms of the designs, the participants' preferences revealed differences in gender. When considering the choices that led to the design outcome, some designed the robot according to context and some on personal taste.
Presented by
Adi bulgaro
Keywords
Design, Interaction, Human-Robot Interaction, participatory design
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Available June 23 2022, 14-17

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Room 14 - Decision making while driving with WAZE app

Adi Hanan, Alina Vostrikov & Itay Shalom

Abstract
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Presented by
Adi Hanan
Keywords
In-vehicle automation, Navigation aiding, waze, Trust Driving performance
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Available June 23 2022, 14-17

Room 15 - Scooter riders’ route selection in the urban environment

Nicole Jiaqi Li

Abstract
Presented by
Nicole Jiaqi Li
Keywords
Decision making, route selection, scooter, rider, road safety
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Available June 23 2022, 14-17

Room 16 - Driver's decision making while using Tesla's autopilot system

Nir Ben Haim and Tal Megidish

Abstract
The rapid growth of Partially Automated Systems (PAS) in real-world environments seems to increase safety but still has vulnerable points. There is a gap between the PAS's perceived maturity and actual maturity. A solution should be found to help drivers be aware of it and make decisions accordingly to prevent accidents.
Presented by
Nir Ben Haim
Keywords
ADAS - Advanced driver assistance systems; PAS - Partial automation system; Secondary tasks management; Driver’s behavior; Driver’s decision-making; Driver’s behavioral adaptation; Mental-model;
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Available June 23 2022, 14-17

Room 17 - The effect of environmental factors on the perceived risk of road crossing scenes among children

Shir Malka

Abstract
Children are more exposed to car accidents and are highly represented in fatal road crashes compare to adults. Probably since the skills needed for road crossing are developing up until late adolescence and due to their inferior ability to identifying hazardous situations. To cross a road safely, pedestrian scans the environment and accordingly decides whether the place is dangerous or safe for crossing. on-line experiment was designed and conducted. Data collection, analysis and summarize are in the poster.
Presented by
Shir Malka
Keywords
Decision making, child-pedestrian, safety, crosswalk, road crossing
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Available June 23 2022, 14-17