Humans have brains. Cognitive machines have a VirtualBrain, a data structure that can be compared to the human long-term memory, providing Percipion the capacity to represent a context, understand and reason
VirtualBrains™ are categorized data structures which are representing specific frame of references. These are used to provide Percipion™ with a contextual knowledge.
Percipion™ is provided out of the box with a set of standard VirtualBrains™ that can be used by organizations to modernize specific challenging use cases which do require a specific insight on unstructured business data.
User specific VirtualBrains™ can also be added to adapt Percipion™ to specific business needs.
Percipion™ allows users to assess multiple core psychological functions, including our emotions, sentiments, needs, motivation factors, and affective states as satisfaction at work criteria. Please find below the details.
Based on the work done by Robert Plutchik, Psychologist and professor emeritus at the Albert Einstein College of Medicine, New York City, USA, Percipion™ can assess 8 primary and 24 secondary emotions.
Based on the work done by Henry Alexander Murray, Psychologist and professor emeritus at Harvard University, Cambridge, USA, Percipion™ can assess 13 primary needs and 27 secondary needs.
Once emotions have been assessed, Percipion™ will group them into either positive or negative sentiments.
Based on the work done by Scott Gregory and Alexandra Didry, both Psychologists, social skills, Percipion™ is able to assess 7 main soft-skills and their related categories.
Satisfaction at work
Based on the work done by Frederick Irving Herzberg, Psychologist and professor at the University of Utah, Salt Lake City, USA, Percipion™ can assess 17 satisfaction at work criteria.
Based on the work done by Richard S. Lazarus, Psychologist and professor at the University of California, Berkeley, USA, Percipion™ can assess either positive or negative affective states.
Based on the work done by Richard M. Ryan, Psychologist, and professor at the Australian Catholic University, Melbourne, and Edward L. Deci, Psychologist, and professor at the University of Rochester, New York City, USA, after having assessed needs, Percipion™ can consider 3 intrinsic and 2 extrinsic motivation factors.
Percipion™ can identify specific semantics related to mental states including anticipation, sadness, negative affective states, disgust, lassitude, abhorrence, wrath, irritation, rage, contempt and pessimism which when mixed together can lead to devalorisation.
Percipion™ can identify specific semantics related to mental states including joy, ecstasy, serenity, fear, sadness, fatigue and guilt which when mixed together can lead to depression.
Percipion™ can identify specific semantics related to emotional states including anticipation, interest, vigilance, apprehension, terror and fear which when mixed together can lead to anxiety.
Percipion™ can be used by law enforcement authorities, forensic experts, content moderators or messaging software vendors to identify inappropriate content and better protect users. Please find below the details.
Percipion™ can identify specific semantics related to hate speeches and discriminatory content referring to one’s race, color, national origin, sex, disability, religion, or sexual orientation.
Percipion™ can identify specific semantics related to illegal drugs or psychoactive substances to identify black markets, trafficking, and dealers.
Percipion™ can identify diverse semantics related to prostitution to ease the identification of sex trafficking, survival sex as well as children and women exploitation.
Percipion™ can identify multiple semantics related to pornographic content (from soft to extreme) and diverse forms of paraphilia (sexual deviations) including fetichism and BDSM.
Percipion™ can prevent and combat child sexual abuse by identifying specific content related to nepiophilia, infantophilia, pedophilia, hebephilia and ephebophilia and pedophile tactics !
Percipion™ can be used to proactively identify weak semantic signals related to the sophisticated psychological tactics used by groomers to manipulate children.
Percipion™ can identify semantics related to specific and common scamming “best practices” including vulnerable persons, the need for money and Blackmails as well as those related to the psychological tactics used to harm victims, including empathy, mysticism, promises, feelings, specific needs and confidence
Percipion™ can identify specific semantics related to repeated and unwelcome vexatious conduct manifested through repeated, hostile, unwanted words or insults, malevolent acts, sexual comments as well as unwelcome intimidation intended to exclude, humiliate, lie or harm a person’s social reputation.
Percipion™ can identify multiple forms of threats, attacks, weapons, terrorist and violent content and make it possible to raise alerts to authorities to better protect people, businesses, cities or states
Percipion™ can be used to identify content related to animal abuse or bestiality (Zoophilia)
If you need more information about our Cognitive Computing solution Percipion, please message us using our contact form.