Getting to know about emotion detection and what it holds in the near future

Modern technology has helped people in different ways and still it continues to expand. The more digital savvy youngsters are only found to be gaining tremendous purchasing power these days. Hence, marketing researchers (MRs) have been trying to speed up their initiatives for engaging these potential consumers through the buying lifecycle, ranging from purchase interactions, awareness generation to post-sale services. Combining social, mobile, video and location is considered to the latest hottest technology.
Emotion and facial recognition
It is considered to the latest trend now. According to studies, a good experience is likely to make the customers to get influenced and be loyal to a particular service or product. With time, emotions developed by the customers might improve or damage their perception about a brand and the overall experience they had.
Emotion detection
The truth is that MRs are under constant pressure to deliver and the ongoing decline with regards to survey response rates combined with challenges with gathering data from particular demographic groups. Trying to harness emotions does offer real opportunities to increase loyalty and customer spending.
It is really difficult but powerful to understand other’s emotions. Emotions and facial expressions are strongly interlinked. When evaluating emotional response, the researchers mostly look beyond consumer reaction recordings. Facial expression and emotion recognition has started to deliver analysis, but without the human observation bias. Emotion detection, for example, is developed to identify feelings like contempt, fear, disgust, anger, sadness, surprise and happiness, etc. Such emotions, however, do not come across in any survey.
Advertising analysis is considered to be the main reason for availing the services of the best emotion recognition companies. It can prove to be more than useful when evaluating ad performance. The client-side research teams using this technology can use the professionally derived benchmark analysis. This technology can also be used for a myriad of other things like enhancing digital training. This is done by evaluating website videos to pinpoint those spots that were a point of confusions.
Future prediction of emotion detection
It is without doubt that new software applications such as this are likely to emerge with time with regards to customer experience and marketing research disciplines. But this is achieved with varying success. Like the advancements that took place in the last decade like social analytics, mobile, beacon technologies, text analytics, etc., emotion detection is likely to find its right place.
The coming year 2019 is only expected to witness further technology advances pertaining to emotion detection. It will allow people to get a better insight on emotional response or appetite rather than asking questions. Models are likely to be developed around emotion capture concept, to demonstrate how this technology is being increasingly adopted by businesses.
In the near future, the researchers predict limitless applications pertaining to emotion recognition technology. It can be used even in the retail environment. There is likely to emerge a time, when people waiting in queue to enter the store, their faces will be scanned and analyzed. The demand for emotion recognition companies in India is only expected to increase further.