Peter Gloor

Peter Gloor
Massachusetts Institute of Technology | MIT · MIT Center for Collective Intelligence

About

322
Publications
71,373
Reads
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5,378
Citations
Additional affiliations
Position
  • Teaching a course on COINs (Collaborative Innovation Networks) jointly at MIT
Position
  • SCAD
Position
  • HUT(TKK
Education
March 1984 - July 1986
University of Zurich
Field of study
  • Math & Comp. Science

Publications

Publications (322)
Article
We introduce “entanglement”, a novel metric to measure how synchronized communication between team members is. This measure calculates the Euclidean distance among team members’ social network metrics timeseries. We validate the metric with four case studies. The first case study uses entanglement of 11 medical innovation teams to predict team perf...
Article
Full-text available
Everybody claims to be ethical. However, there is a huge difference between declaring ethical behavior and living up to high ethical standards. In this paper, we demonstrate that "hidden honest signals" in the language and the use of "small words" can show true moral values and behavior of individuals and organizations and that this ethical behavio...
Article
Full-text available
Do employees with high ethical and moral values perform better? Comparing personality characteristics, moral values, and risk-taking behavior with individual and team performance has long been researched. Until now, these determinants of individual personality have been measured through surveys. However, individuals are notoriously bad at self-asse...
Article
Full-text available
Can we really “read the mind in the eyes”? Moreover, can AI assist us in this task? This paper answers these two questions by introducing a machine learning system that predicts personality characteristics of individuals on the basis of their face. It does so by tracking the emotional response of the individual’s face through facial emotion recogni...
Preprint
Full-text available
Can we really "read the mind in the eyes"? Moreover, can AI assist us in this task? This paper answers these two questions by introducing a machine learning system that predicts personality characteristics of individuals on the basis of their face. It does so by tracking the emotional response of the individual's face through facial emotion recogni...
Preprint
Full-text available
Purpose The purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub. Wearable sensors and other smart tools were used for collecting human and environmental features during working activities. These factors were correlated with workers' performance and well-being. Design/met...
Preprint
Full-text available
We introduce "entanglement", a novel metric to measure how synchronized communication between team members is. This measure calculates the Euclidean distance among team members' social network metrics timeseries. We validate the metric with four case studies. The first case study uses entanglement of 11 medical innovation teams to predict team perf...
Chapter
Wearable technology is an emerging field that has the potential to revolutionize healthcare. Advances in sensors, augmented reality devices, the internet of things, and artificial intelligence offer clinically relevant and promising functionalities in the field of surgery. Apart from its well-known benefits for the patient, minimally invasive surge...
Article
Full-text available
Creating intelligent systems capable of recognizing emotions is a difficult task, especially when looking at emotions in animals. This paper describes the process of designing a “proof of concept” system to recognize emotions in horses. This system is formed by two elements, a detector and a model. The detector is a fast region-based convolutional...
Article
As the coronavirus disease 2019 (COVID-19) continues to rage worldwide, the United States has become the most affected country, with more than 34.1 million total confirmed cases up to 1 June 2021. In this work, we investigate correlations between online social media and Internet search for the COVID-19 pandemic among 50 U.S. states. By collecting t...
Article
Recently, the flow state, a state in which individuals perform at the peak of their ability and are completely immersed in the task while experiencing a state of elatedness, has been the subject of active research. We introduce a novel approach of using convolutional neural networks to recognize flow in live performing musicians from analyzing thei...
Article
As a powerful and low-cost instant information dissemination platform, large-scale online social networks (OSNs) play a pivotal role in shaping our modern information age. The efficient detection of wide-spreading information in OSNs is very important in many aspects including public opinion supervision, social governance, stock markets, counter-te...
Preprint
Full-text available
In the information economy, individuals' work performance is closely associated with their digital communication strategies. This study combines social network and semantic analysis to develop a method to identify top performers based on email communication. By reviewing existing literature, we identified the indicators that quantify email communic...
Preprint
Full-text available
Internet and social media offer firms novel ways of managing their marketing strategy and gain competitive advantage. The groups of users expressing themselves on the Internet about a particular topic, product, or brand are frequently called a virtual tribe or E-tribe. However, there are no automatic tools for identifying and studying the character...
Preprint
Full-text available
Purpose: The purpose of this paper is to identify the factors influencing the growth of healthcare virtual communities of practice (VCoPs) through a seven-year longitudinal study conducted using metrics from social-network and semantic analysis. By studying online communication along the three dimensions of social interactions (connectivity, intera...
Preprint
Full-text available
This study explores the determinants of popularity within friendship and advice networks. We involved almost 200 college students in an experiment to predict how personality traits, self-monitoring, creativity, intelligence, energy, and beauty influence the development of friendship and advice networks. Our results indicate that physical attractive...
Preprint
Creating intelligent systems capable of recognizing emotions is a difficult task, especially when looking at emotions in animals. This paper describes the process of designing a "proof of concept" system to recognize emotions in horses. This system is formed by two elements, a detector and a model. The detector is a faster region-based convolutiona...
Preprint
Full-text available
According to Freud "words were originally magic and to this day words have retained much of their ancient magical power". By words, behaviors are transformed and problems are solved. The way we use words reveals our intentions, goals and values. Novel tools for text analysis help understand the magical power of words. This power is multiplied, if i...
Preprint
Full-text available
We measure and predict states of Activation and Happiness using a body sensing application connected to smartwatches. Through the sensors of commercially available smartwatches we collect individual mood states and correlate them with body sensing data such as acceleration, heart rate, light level data, and location, through the GPS sensor built in...
Preprint
Full-text available
The purpose of this study is to examine the impact of board member composition and board members' social media presence on the performance of startups. Using multiple sources, we compile a unique dataset of about 500 US-based technology startups. We find that startups with more venture capitalists on the board and whose board members are active on...
Preprint
Full-text available
We propose a novel method for finding the most innovative people in an organization, using email to analyze structure and dynamics of the organization's online communication. To illustrate our approach, we analyzed the email archive of 2000 members of the R&D department of a US multinational company. We use metrics of social network analysis extend...
Preprint
Full-text available
This paper investigates the research question if senders of large amounts of irrelevant or unsolicited information - commonly called "spammers" - distort the network structure of social networks. Two large social networks are analyzed, the first extracted from the Twitter discourse about a big telecommunication company, and the second obtained from...
Preprint
Full-text available
We investigate the impact of a novel method called "virtual mirroring" to promote employee self-reflection and impact customer satisfaction. The method is based on measuring communication patterns, through social network and semantic analysis, and mirroring them back to the individual. Our goal is to demonstrate that self-reflection can trigger a c...
Preprint
Full-text available
We explore what benefits network position in online business social networks like LinkedIn might confer to an aspiring entrepreneur. We compare two network attributes, size and embeddedness, and two actor attributes, location and diversity, between virtual and real-world networks. The promise of social networks like LinkedIn is that network friends...
Preprint
Full-text available
Purpose: The purpose of this paper is to examine the innovative capabilities of biotech start-ups in relation to geographic proximity and knowledge sharing interaction in the R&D network of a major high-tech cluster. Design-methodology-approach: This study compares longitudinal informal communication networks of researchers at biotech start-ups wit...
Preprint
Full-text available
This study looks for signals of economic awareness on online social media and tests their significance in economic predictions. The study analyses, over a period of two years, the relationship between the West Texas Intermediate daily crude oil price and multiple predictors extracted from Twitter, Google Trends, Wikipedia, and the Global Data on Ev...
Preprint
Full-text available
In this study we propose a method based on e-mail social network analysis to compare the communication behavior of managers who voluntarily quit their job and managers who decide to stay. Collecting 18 months of e-mail, we analyzed the communication behavior of 866 managers, out of which 111 left a large global service company. We compared differen...
Article
INTRODUCTION This study presents the first steps and results towards the development of a system for predicting the quality of surgical performance and workload in laparoscopic training. MATERIAL AND METHODS Surgeons wore a smartwatch which recorded their heart rate and hand motion during each laparoscopic procedure. Data was then correlated with...
Article
Full-text available
In the last 14 months, COVID-19 made face-to-face meetings impossible and this has led to rapid growth in videoconferencing. As highly social creatures, humans strive for direct interpersonal interaction, which means that in most of these video meetings the webcam is switched on and people are “looking each other in the eyes”. However, it is far fr...
Article
Full-text available
Happiness has been an overarching goal of mankind at least since Aristotle spoke of Eudaimonia. However measuring happiness has been elusive and until now has almost exclusively been done by asking survey questions about self-perceived happiness. We propose a novel approach, tracking happiness and stress through changes in body signals with a smart...
Article
Full-text available
Speech is one of the most natural communication channels for expressing human emotions. Therefore, speech emotion recognition (SER) has been an active area of research with an extensive range of applications that can be found in several domains, such as biomedical diagnostics in healthcare and human–machine interactions. Recent works in SER have be...
Preprint
The ability to persuade others is critical to professional and personal success. However, crafting persuasive messages is demanding and poses various challenges. We conducted nine exploratory case studies to identify adaptations that professional and non-professional writers make in written scenarios to increase their subjective persuasiveness. Fur...
Preprint
Citations acknowledge the impact a scientific publication has on subsequent work. At the same time, deciding how and when to cite a paper, is also heavily influenced by social factors. In this work, we conduct an empirical analysis based on a dataset of 2010-2012 global publications in chemical engineering. We use social network analysis and text m...
Presentation
Executives spend the majority of their work time in meetings but report up to 40 percent of these meetings as a waste of time. Finding a better way to measure meeting productivity is thus of paramount importance. Whereas previous research has focused on meeting design elements and conversational patterns to draw inferences about perceived meeting p...
Preprint
This literature review focuses on the use of Natural Language Generation (NLG) to automatically detect and generate persuasive texts. Extending previous research on automatic identification of persuasion in text, we concentrate on generative aspects through conceptualizing determinants of persuasion in five business-focused categories: benevolence,...
Article
Full-text available
As the Enron scandal and Bernie Madoff’s pyramid scheme have shown, individuals’ attitude towards ethical risks can have a huge impact on society at large. In this paper, we compare risk-taking attitudes assessed with the Domain-Specific Risk-Taking (DOSPERT) survey with individual e-mail networking patterns and body language measured with smartwat...
Preprint
This paper describes three experiments measuring interaction of humans with garden plants. In particular, body movement of a human conducting eurythmic dances near the plants (beetroots, tomatoes, lettuce) is correlated with the action potential measured by a plant SpikerBox, a device measuring the electrical activity of plants, and the leaf moveme...
Article
Full-text available
Rapid advances in machine learning combined with wide availability of online social media have created considerable research activity in predicting what might be the news of tomorrow based on an analysis of the past. In this work, we present a deep learning forecasting framework which is capable to predict tomorrow’s news topics on Twitter and news...
Article
Full-text available
In this tutorial, we show how to scrape and collect online data, perform sentiment analysis, social network analysis, tribe finding, and Wikidata cross-checks, all without using a single line of programming code. In a step-by-step example, we use self-collected data to perform several analyses of the glass ceiling. Our tutorial can serve as a stand...
Article
In the information economy, individuals' work performance is closely associated with their digital communication strategies. This study combines social network and semantic analysis to develop a method to identify top performers based on email communication. By reviewing existing literature, we identified the indicators that quantify email communic...
Article
The purpose of this study is to examine the impact of board member composition and board members’ social media presence on the performance of startups. Using multiple sources, we compile a unique dataset of about 500 US-based technology startups. We find that startups with more venture capitalists on the board and whose board members are active on...
Chapter
In this research project we predict the moral values of individuals through their body movements measured with the sensors of a smartwatch. The personal moral values are assessed using the Schwartz value theory, which proposes two dimensions of universal values (open to change versus conservative, self-enhancement versus self-transcendence). Data f...
Chapter
Creative people are highly valued in all parts of the society, be it companies, government, or private life. However, organizations struggle to identify their most creative members. Is there a “magic ingredient” that sets the most creative individuals of an organization apart from the rest of the population? This paper aims to shed light on a part...
Chapter
This work aims to explore the environmental and human factors affecting productivity of warehouse operators in material handling activities. The study was carried out in a semi-automated logistic hub and the data collection has been conducted using wearable sensors able to detect human-related variables such as heart rate and human interactions, ba...
Chapter
The rise of online social networks has created novel opportunities to analyze people by their hidden “honest” traits. In this paper we suggest automatic grouping of employees into virtual tribes based on their language and values. Tribes are groups of people homogenous within themselves and heterogenous to other groups. In this project we identify...
Chapter
We describe a preliminary experiment to track the emotions of actors and audience in a theater play through machine learning and AI. During a 40-min play in Zurich, eight actors were equipped with body-sensing smartwatches. At the same time, the emotions of the audience were tracked anonymously using facial emotion tracking. In parallel, also the e...
Chapter
We present the first steps toward building an intelligent system to measure the workload and surgical performance of minimally invasive surgeons. This pilot study was conducted during two training courses in minimally invasive suturing, one in microsurgery and one in laparoscopic surgery. During each training activity, surgeons wore a smartwatch wi...
Article
Full-text available
The growing expectations to public services and the pervasiveness of wicked problems in times characterized by growing fiscal constraints call for the enhancement of public innovation, and new research suggests that multi-actor collaboration in networks and partnerships is superior to hierarchical and market-based strategies when it comes to spurri...
Preprint
Full-text available
As the novel coronavirus disease 2019 (COVID-19) continues to rage worldwide, the United States has become the most affected country with more than 2.5 million total confirmed cases up to now (June 2, 2020). In this work, we investigate the predictive power of online social media and Internet search for the COVID-19 pandemic among 50 U.S. states. B...
Article
Full-text available
Citations acknowledge the impact a scientiic publication has on subsequent work. At the same time, deciding how and when to cite a paper, is also heavily inluenced by social factors. In this work, we conduct an empirical analysis based on a dataset of 2010–2012 global publications in chemical engineering. We use social network analysis and text min...
Chapter
Moral beliefs are at the heart of governing a person’s behavior. In this paper, we introduce a way to automatically measure a person’s moral values through hidden “honest” signals in the person’s e-mail communication. We measured the e-mail behavior of 26 users through their e-mail interaction, calculating their seven “honest signals of collaborati...
Article
The paper proposes the use of a smartwatch-based system for measuring the emotions of individuals in a classroom setting with respect to five mood variables: Activation, Tiredness, Pleasance, Quality of Presentation and Understanding. Internal (body) and external (environment) data such as movement, heart rate, noise, temperature and humidity were...
Article
We propose a novel method for finding the most innovative people in an organization, using email to analyze structure and dynamics of the organization’s online communication. To illustrate our approach, we analyzed the email archive of 2000 members of the R&D department of a US multinational company. We use metrics of social network analysis extend...
Article
Purpose This study investigates the relationships between team dynamics and performance in healthcare operations. Specifically, it explores, through wearable sensors, how team coordination mechanisms can influence the likelihood of surgical glitches during routine surgery. Design/methodology/approach Breast surgeries of a large Italian university...
Preprint
By measuring the electrostatic discharge of human bodies together with Mimosa Pudica and other plants in response to the human movement, we have been able to recognize (a) individuals based on their distinctive pattern of body movements with 66% accuracy as well as (b) positive or negative mood based on their gait characteristics with 85% accuracy....
Article
Internet and social media offer firms novel ways of managing their marketing strategy and gain competitive advantage. The groups of users expressing themselves on the Internet about a particular topic, product, or brand are frequently called a virtual tribe or E-tribe. However, there are no automatic tools for identifying and studying the character...
Article
According to Freud “words were originally magic and to this day words have retained much of their ancient magical power”. By words, behaviors are transformed and problems are solved. The way we use words reveals our intentions, goals and values. Novel tools for text analysis help understand the magical power of words. This power is multiplied, if i...
Chapter
Im vorliegenden Kapitel wird die KI im Kontext der Psychologie, der Lehre des menschlichen Verhaltens und Erlebens, betrachtet. Dabei wird mit der Theorie der Persönlichkeits-System-Interaktionen (PSI-Theorie) (Kuhl 2001) eine psychologische Theorie als Basis genommen, die von zwei Arten der Intelligenz ausgeht, nämlich einer analytischen und einer...
Article
We analyzed the interaction between patients and providers in the emergency department of a large university hospital using Sociometric Badges. Providers (doctors and nurses) were equipped with wearable sensors (Sociometric Badges), the badges measure body movements and speech energy with accelerometers, microphones, Bluetooth and infrared sensors....
Book
This volume is focused on the emerging concept of Collaborative Innovation Networks (COINs). COINs are at the core of collaborative knowledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. The book...
Article
This paper investigates the research question if senders of large amounts of irrelevant or unsolicited information – commonly called “spammers” – distort the network structure of social networks. Two large social networks are analyzed, the first extracted from the Twitter discourse about a big telecommunication company, and the second obtained from...
Article
Chatbots are used frequently in business to facilitate various processes,particularly those related to customer service and personalization. In this article,we propose novel methods of tracking human-chatbot interactions and measuringchatbot performance that take into consideration ethical concerns, particularlytrust. Our proposed methodology links...
Book
Collaborative innovation networks are cyberteams of motivated individuals, and are self-organizing emergent social systems with the potential to promote health, happiness and individual growth in real-world work settings. This book describes how to identify and nurture collaborative innovation networks in order to shape the future working environm...
Chapter
This paper introduces Tribefinder, a novel system able to reveal Twitter users’ tribal affiliations. Tribefinder establishes to which tribes individuals belong through the analysis of their tweets and the comparison of their vocabulary. These tribal vocabularies are previously generated based on the vocabulary of tribal influencers and leaders sele...
Chapter
After Jeff Bezos, the founder and CEO of Amazon, acquired The Washington Post in late 2013, the newspaper’s neutrality and independence from Bezos’ agenda has been in question. This paper takes a first step at exploring whether the neutrality of The Washington Post has changed after the acquisition in 2013. By analyzing the content of newspaper art...
Chapter
This paper illustrates the core principle of COINs (collaborative innovation network) of rotating leadership by the example of Jazz musicians, who take turns grooving together. These musicians are exemplars of team members seamlessly transferring the leadership role from one to the other, leading to a “flow” experience of superb quality for their a...