Armen Berjikly | |
---|---|
Born | Los Angeles, CA |
Nationality | American |
Alma mater | Stanford University, Computer Science (BS) Stanford University, Management Science (MS) |
Occupation(s) | CEO & Founder, Kanjoya CEO & Founder, Experience Project |
Years active | 2003-present |
Armen Berjikly is an Armenian-American entrepreneur and technologist, known as the founder and chief executive officer of both artificial intelligence company Kanjoya, and social network Experience Project. Berjikly's professional focus is on improving the relationship between technology and human emotions.
Berjikly was born and raised in Los Angeles, California, and moved to Northern California to attend Stanford University in 1997. He graduated with honors in 2001 with a bachelor's degree in computer science with an emphasis on human computer interaction, and in 2002 with a master's degree in management science and engineering, with an emphasis on high tech entrepreneurship.
At Stanford, Berjikly was named a Mayfield Fellow, [1] [2] elected to Tau Beta Pi, [3] and earned academic distinctions including the President's Award for Academic Excellence, [4] and the Terman Engineering Scholastic Award. [5]
Berjikly's extracurriculars included writing for the Stanford Daily, [6] [7] and serving as a teaching assistant for Stanford's CS106 and CS107 introductory computer science sequence. [8] However, it was Berjikly's academic research in the then-nascent field of human computer interaction that would most influence his career and personal interests.
First working under advisor and natural language processing (NLP) pioneer, Computer Science Professor Terry Winograd, and then directly with HCI authority and Communications Professor Clifford Nass, Berjikly contributed to the corpus around Nass' theory of The Media Equation, particularly with respect to how humans interface with interactive voice response (IVR) systems. [9]
In a foundational experiment on error handling in IVR systems (what to do when the computer does not understand the speaker), Berjikly and Nass tested different strategies for handling errors, hoping to observe any potential impacts to user behavior and impressions from each respective strategy. The results demonstrated that participants strongly preferred IVRs that criticized themselves when making errors (e.g., "Sorry, I didn't understand"), and they strongly disliked systems that blamed the user (e.g., "Please speak more clearly.")
Further, participants were significantly less willing to buy books from systems that blamed the user versus self-blaming systems. In short, they concluded, a company would anger its users and sell fewer products with a user-blaming IVR. One surprising finding was that while users disliked the user-blaming system, they found it to be significantly more competent and believed it made fewer errors than the self-blaming system, despite the reality that the two versions made the same mistakes at the same points in the interaction.
On this point, Berjikly and Nass concluded that
"Modesty undermines your perceived intelligence so much that even insulting the person you are working with makes you seem more competent to that person than criticizing yourself." [10]
After graduating from Stanford, Berjikly took a role at networking technology company, Echelon where he led the product management of a combined hardware and software offering called, Networked Energy Services [11] (NES), a networked energy solution where residential and commercial electricity meters could be read and operated remotely. The product line gained the distinction of being the first networked electricity delivery system to be deployed across an entire country, with Italian utility giant ENEL converting completely to Echelon networked meters and data concentrators. [12] [13]
At this time, a close friend of Berjikly's developed a diagnosis of multiple sclerosis (MS). Berjikly felt that the natural feeling of a loss of hope accompanying any serious medical diagnosis was further accelerated by a dearth of patient-accessible information on current research focused on treating or improving the condition. He created This is MS, as an online forum "chartered on empowering patients through knowledge" for the discussion of research on potential treatments. The site gained a reputation for positivity and insight into new and upcoming treatments. [14] Berjikly observed that, though users were initially drawn by the subject of Multiple Sclerosis, they quickly connected with each other on many other experiences relevant to their lives, with an underlying empathy towards each other through their shared experience of MS. Berjikly noted that, "it gave voice to a group of people known to suffer in silence, and the opportunity to be among new friends, those who truly understood each other's challenges." [15]
This spurred Berjikly to create a generalized version of This is MS, named Experience Project to provide emotional support on any topic. The concept was for users to share the life experiences that mattered to them, and to write stories about their personal experience with those life events, in order to connect with other users who could empathize with them, and provide support based on their shared backgrounds. [16] Berjikly described his inspiration as:
"There are hundreds of people that we pass by each day. Any one of those people could become a very good friend of yours if you knew which person to stop, what questions to ask and you felt comfortable asking and they felt comfortable answering. There is no reason not to use technology to bring us to that point today...A new user to the site searches for something that is of paramount importance to them and realizes, 'I'm not alone with whatever this is. Look at all these other people going through it." [17]
At its peak popularity in 2012, Experience Project was ranked in the top 2500 worldwide websites by internet traffic, [18] and by 2016, members had shared "over 67 million experiences."
A core aspect of Experience Project was the concept of users describing an experience in their own words, and ascribing what emotions it made them feel to have that experience. Over time, Experience Project created a unique and expansive knowledge base relating how language was used to express feelings, and how that language differed depending on the nature of the experience, demographic of the speaker, geography, date, etc.
This led Berjikly to found Kanjoya, an artificial intelligence company dedicated to the idea that technology could "delivery empathy" through machine learning algorithms capable of accurately recognizing, in real-time, the emotion present in written text. Early applications of Kanjoya's technology included measuring the emotional reaction of audiences during presidential debates, [19] understanding how viewers felt towards Super Bowl advertisements, [20] and analyzing consumer sentiment about the economy in newspaper articles in an attempt to predict future actions of the Federal Reserve Board. [21]
Eventually, Kanjoya focused on understanding employee sentiment in the workplace, through inputs including open-ended surveys and performance reviews. Kanjoya's products addressed employee surveys, [22] diversity and inclusion, [23] and performance reviews.
Kanjoya was acquired by Ultimate Software in 2016, [24] where Berjikly became a Director and stewards the company's future products, including their artificial intelligence strategy. Berjikly's shared his philosophy on the use of advanced technologies like AI in the workplace:
"We crave to be understood with empathy, whether we’re having coffee with a friend, or taking a survey at work. This is where technology has historically fallen incredibly short. Scores of products are designed to improve or understand people and their lives as employees, customers, and so on, yet they have no capability of recognizing, understanding and respecting the qualitative, “left-brain” aspects that actually drive these behaviors." [25]
In 2018, Berjikly began advocating for technology companies, both vendors and consumers, to develop AI Codes of Ethics and Behaviors to actively guide the desired use and boundaries of these advanced technologies, versus passively allowing technology's capabilities alone to determine outcomes.
"There is a great burden ... to help people communicate, build empathy and above all – to help people be heard"
In pursuit of this, Berjikly says the ultimate goal for AI in the workplace is to complement people, while recognizing, respecting and reacting to their emotions- instead of seeking to automate or replace them. [26]
Berjikly resides in San Francisco with his wife and children. [27]
Interactive voice response (IVR) is a technology that allows telephone users to interact with a computer-operated telephone system through the use of voice and DTMF tones input with a keypad. In telephony, IVR allows customers to interact with a company's host system via a telephone keypad or by speech recognition, after which services can be inquired about through the IVR dialogue. IVR systems can respond with pre-recorded or dynamically generated audio to further direct users on how to proceed. IVR systems deployed in the network are sized to handle large call volumes and also used for outbound calling as IVR systems are more intelligent than many predictive dialer systems.
Novell, Inc. was an American software and services company headquartered in Provo, Utah, that existed from 1980 until 2014. Its most significant product was the multi-platform network operating system known as Novell NetWare.
Computer rage refers to negative psychological responses towards a computer due to heightened anger or frustration. Examples of computer rage include cursing or yelling at a computer, slamming or throwing a keyboard or a mouse, and assaulting the computer or monitor with an object or weapon.
In artificial intelligence, an embodied agent, also sometimes referred to as an interface agent, is an intelligent agent that interacts with the environment through a physical body within that environment. Agents that are represented graphically with a body, for example a human or a cartoon animal, are also called embodied agents, although they have only virtual, not physical, embodiment. A branch of artificial intelligence focuses on empowering such agents to interact autonomously with human beings and the environment. Mobile robots are one example of physically embodied agents; Ananova and Microsoft Agent are examples of graphically embodied agents. Embodied conversational agents are embodied agents that are capable of engaging in conversation with one another and with humans employing the same verbal and nonverbal means that humans do.
Affective design describes the design of products, services, and user interfaces that aim to evoke intended emotional responses from consumers, ultimately improving customer satisfaction. It is often regarded within the domain of technology interaction and computing, in which emotional information is communicated to the computer from the user in a natural and comfortable way. The computer processes the emotional information and adapts or responds to try to improve the interaction in some way. The notion of affective design emerged from the field of human–computer interaction (HCI), specifically from the developing area of affective computing. Affective design serves an important role in user experience (UX) as it contributes to the improvement of the user's personal condition in relation to the computing system. Decision-making, brand loyalty, and consumer connections have all been associated with the integration of affective design. The goals of affective design focus on providing users with an optimal, proactive experience. Amongst overlap with several fields, applications of affective design include ambient intelligence, human–robot interaction, and video games.
Voice portals are the voice equivalent of web portals, giving access to information through spoken commands and voice responses. Ideally a voice portal could be an access point for any type of information, services, or transactions found on the Internet. Common uses include movie time listings and stock trading. In telecommunications circles, voice portals may be referred to as interactive voice response (IVR) systems, but this term also includes DTMF services. With the emergence of conversational assistants such as Apple's Siri, Amazon Alexa, Google Assistant, Microsoft Cortana, and Samsung's Bixby, Voice Portals can now be accessed through mobile devices and Far Field voice smart speakers such as the Amazon Echo and Google Home.
Clifford Ivar Nass was a professor of communication at Stanford University, co-creator of The Media Equation theory, and a renowned authority on human-computer interaction (HCI). He was also known for his work on individual differences associated with media multitasking. Nass was the Thomas M. Storke Professor at Stanford and held courtesy appointments in Computer Science, Education, Law, and Sociology. He was also affiliated with the programs in Symbolic Systems and Science, Technology, and Society.
Microsoft engineering groups are the operating divisions of Microsoft. Starting in April 2002, Microsoft organised itself into seven groups, each an independent financial entity. In September 2005, Microsoft announced a reorganization of its then seven groups into three. In July 2013, Microsoft announced another reorganization into five engineering groups and six corporate affairs groups. A year later, in June 2015, Microsoft reformed into three engineering groups. In September 2016, a new group was created to focus on artificial intelligence and research. On March 29, 2018, a new structure merged all of these into three.
The Mayfield Fellows Program is a university program that offers students in-depth training and experience in high-tech entrepreneurship.
Experience Project was a free social networking website consisting of various online communities. It operated from 2007 until 2016, when it announced it would suspend registrations and enter a read-only mode for an indefinite period.
Unified communications (UC) is a business and marketing concept describing the integration of enterprise communication services such as instant messaging (chat), presence information, voice, mobility features, audio, web & video conferencing, fixed-mobile convergence (FMC), desktop sharing, data sharing, call control and speech recognition with non-real-time communication services such as unified messaging. UC is not necessarily a single product, but a set of products that provides a consistent unified user interface and user experience across multiple devices and media types.
William "Bill" Lawrence Verplank is a designer and researcher who focuses on interactions between humans and computers. He is one of the pioneers of interaction design, a field of design that focuses on users and technology, and a term he helped coin in the 1980s. He was previously a visiting scholar at Stanford University's CCRMA and was involved in Stanford's d.school. He also teaches and lectures internationally on interaction design.
Pronexus is a software company established in 1994 and located in Ottawa, Ontario. They specialise in producing tools for voice applications and Interactive Voice Response (IVR) for use in integrating voice/speech technology in business systems. The company is known for its development of VBVoice, which is a rapid application development (RAD) Interactive Voice Response (IVR) toolkit for telephony and speech for use in Microsoft Visual Studio. First introduced in 1994, VBVoice includes a graphical user interface (GUI) for call flow and call control. The VBVoice toolkit allows for creation of various IVR applications, such as auto attendants, outbound IVRs, predictive dialers, and self-service IVRs.
Andrew Yan-Tak Ng is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI). Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people.
Computers are social actors (CASA) is a paradigm which states that humans unthinkingly apply the same social heuristics used for human interactions to computers, because they call to mind similar social attributes as humans.
Catalin Voss is a German-born inventor and entrepreneur. Voss is considered a pioneer in applying artificial intelligence and machine learning for societal impact in areas such as childhood literacy, Autism, financial inclusion in emerging economies, and the criminal justice system.
Positive computing is a technological design perspective that embraces psychological well-being and ethical practice, aiming at building a digital environment to support happier and healthier users. Positive computing develops approaches that integrate insights from psychology, education, neuroscience, and HCI with technological development. The purpose of positive computing is to bridge the technology and mental health worlds. Indeed, there are computer and mental health workshops that are aimed to bring people from both communities together.
Toutiao or Jinri Toutiao is a Chinese news and information content platform, a core product of the China-based company ByteDance. By analyzing the features of content, users and users' interaction with content, the company's algorithm models generate a tailored feed list of content for each user.
Ellen Petry Leanse is an American author, businesswoman, educator, entrepreneur, and online community pioneer. Leanse has spent 35 years working with leaders at Apple, Google, Facebook, as an entrepreneur, and with dozens of startups. She's a writer on topics of workplace dynamics and a Stanford instructor. Her work has spanned entrepreneurship, corporate leadership, investing, and strategy consulting.
Kanjoya was an enterprise software-as-a-service (SaaS) company that developed natural language processing (NLP) based artificial intelligence to understand, measure, and improve customer and employee experience. Founded in 2006 by Armen Berjikly, the company was acquired by Ultimate Software in 2016.
{{cite book}}
: CS1 maint: multiple names: authors list (link){{cite book}}
: CS1 maint: multiple names: authors list (link){{cite journal}}
: Cite journal requires |journal=
(help)