@ the NCCU Art & Culture Center
《Eyes、Ears、Nose, Tongues...those parts》作為臉部的感官部件，展覽從顏面為人類接受訊息以及最接近大腦的人體部位作為出發，討論人類物種有著不同的臉部相貌，並延伸由視覺去辨識臉部作為個人與主體的象徵與代表，甚至為身份確認的方法。
在近代電腦視覺的演進，Facial recognition（臉部辨識）系統從基於類間變化及類內變化的方式，藉由機器學習轉為接近強人工智慧（Strong AI）的方向。同時，隱私權也因為網路與監視科技的發展變得越來越為重要。未來科技發展亦會逐漸朝向Passwordless（無密碼登入）方向演進，所以生理訊息類的加密方式與辨識將會成為研發重點。例如：臉部解鎖，這類的應用為目前個人行動裝置身份確認的方法之一。
The exhibition 《Eyes, Ears, Nose, Tongues...those parts》 Those Parts revolves around the face in order to discuss issues of identity related to contemporary uses of technology, as online consumer behaviour and privacy, facial recognition and surveillance systems. The face is arguably the part of the human body that is most receptive to receiving messages. It is also the closest part to the brain. In machine learning systems and network infrastructures based on data recollection, the visual recognition of faces serves as a symbolic representation of individual subjects and as a method of identity verification.
With the evolution of computer vision, in recent times facial recognition systems have evolved from being based on 'interclass' and 'intraclass' variations to being directed towards strong artificial intelligence through machine learning. At the same time, privacy has become increasingly important due to the development of the internet and surveillance technology. In the future, technology will also gradually evolve towards 'passwordless' login, so the encryption and identification of physiological information will become a focus of research and development. For example, facial unlocking is currently one of the methods most commonly used for identity verification on personal mobile devices.
Through the face we visually perceive individuals directly (through the eyes) or indirectly, ie. through other means such as screens. The work "It Could Be You" uses the online pseudonym of the real-time message sender as a key to search for facial images, creating a large number of different Asian faces and fake personal information through synthetic data and machine learning that creates the illusion of a potential identity. This is an attempt to question and reveal the digital footprint in a vast network data base as a software system that could come close to human imagination or memory recollection. Instead of receiving and understanding the image through the refraction of light and the chemical and physiological changes in the brain, the process used is based on a calculation of each pixel dot that recognises facial features and individual characteristics through a series of operations. When the computer software recognises the human form as an object, it 'learns' how to physically define a person based on their type and appearance and, with the added logic of whether or not the object is moving, it can more accurately confirm that this is a subject rather than a static mannequin. The software enhances the definition of objects or events by referencing the parameters and changes of behaviour and environment.
The work "Portrait 2011" uses recycled materials to create a mechanical human head that attempts to express human emotions. When there is no one at the exhibition space, the device will start to cry and shed tears. Many people hide their crying when they are emotionally unstable. This is a quiet and secretive emotion difficult to express on a cold and mechanical object, but in the current analysis of consumer behaviour in online shopping, ie. tracking the preferences of advertisements, it may be possible to find similar expressions. Even when a certain type of product is more favorable, if consumers do not often browse this type of product, they will not receive newsletters or push notifications. This method of tracking consumer usage habits can be used to determine when to promote sales in order to boost them.
The construction of the aforementioned works is based on the data collection performed by basic network infrastructures. Another way to approach this can be found in CCTV closed-circuit and network photography systems, which in addition are subject to different regulations due to local laws. "ID Photo Shooting Guide" is a joint action in 2021 with Sandee CHAN and TAN Tsung Fan. The action originated when Sandee CHAN lost her ID card. Then, we used the IoT search engine "Shodan" to find low-security network cameras in Taipei city and determine their location to take ID photos. After the photos were processed, we went to the household affairs office to reissue the ID card. Simple hacking behaviour as the production of images, placing the image on a national identity card, is one of the starting points for this action. "ID Photo Shooting Guide On-Site" is a re-creation of the 2023 political university residence project that extends the 2021 version to be a physical device work.