Unit 6: Emerging Technologies in HCI

A technology allowing users to control devices directly with their brain activity. It typically involves placing electrodes on the scalp or within the brain to detect electrical signals associated with specific thoughts or intentions.

The part of the brain responsible for controlling voluntary muscle movements.

A medical condition where a person loses control of certain parts of their body, often due to damage to the nervous system.

The process of converting brain signals into commands that can be understood by a computer.

Electrodes placed on the scalp or inside the brain to detect electrical signals.

A type of BCI that uses electrodes placed on the scalp to detect brain activity.

A type of BCI that uses electrodes implanted in the brain to detect neural activity.

A research project that uses BCI to help individuals with paralysis regain control over their limbs.

Programmable machines designed to perform tasks, often used in dangerous or tedious situations.

Unmanned aerial vehicles (UAVs) used for various tasks like aerial photography, delivery, and surveillance.

Wearable devices that collect data from the body and communicate with smartphones or computers. Examples include smartwatches and fitness trackers.

A type of wearable that combines electronics and textile for interactive clothing. Examples include smart jackets or shirts with sensors, heating elements, or lighting.

The use of technology to create a virtual world that can be experienced through immersive devices like VR headsets.

The act of using robots, drones, and wearables to perform various tasks in different fields, like agriculture, healthcare, and military.

Software that overlays digital content onto real-world views by using cameras and GPS to create interactive experiences.

Wearable devices designed to be integrated into the human body, potentially offering enhanced functionality or providing solutions for medical conditions.

A type of wearable camera designed to help individuals with memory issues, like Alzheimer's disease, by automatically capturing photos for later review and memory recall.

A type of technology merging real and virtual environments, where virtual objects blend seamlessly into the real world, often with interactive functionalities.

A wearable camera designed to capture moments for memory recall, especially for those with cognitive impairments like Alzheimer's.

A type of AR sandbox experience where users can manipulate real sand to create landscapes, learning about terrain and elevation.

Key design considerations for wearable devices, accounting for a comfortable and seamless integration with the human body, hygiene, and ease of use for the user.

The collection of data from users to improve services raises concerns about privacy, respectfulness, trustworthiness, fairness, honesty, and human rights.

The act of minimizing the data collected from users to only what is necessary for the intended purpose.

A design philosophy that prioritizes user privacy and data protection throughout the development process.

A formal agreement outlining the data collection practices, storage methods, and authorized uses of user data.

A comprehensive guide for framing ethical questions related to data collection, analysis, and use.

A set of principles (fairness, accountability, transparency, explainability) that address ethical considerations in data handling.

The ability of individuals to selectively forget or suppress specific memories, particularly in the context of negative or painful experiences.

Harvesting digital materials (e.g., photos) using automated methods to facilitate digital forgetting.

Using technology to influence people's behaviour and attitudes towards actions. It can involve reward systems, goal setting, and social comparison to nudge users towards desired behaviours.

A type of persuasive technology where a digital pet's well-being depends on the user's physical activity. This encourages users to exercise to keep their virtual pet alive and happy.

The tendency to attribute human qualities, emotions, and intentions to non-human entities like animals or objects. This can make interactions with technology feel more natural and enjoyable.

A type of persuasive technology that encourages users to improve their fitness and health by tracking their activity levels, sleep patterns, and weight loss. It provides data-driven insights and visual representations to motivate users.

Features used in persuasive technology to motivate users by providing rewards, badges, and recognition for achieving goals or milestones.

Comparing your data and progress to others in a social setting. This promotes competition and motivation to improve performance in fitness or other areas.

Technology that uses visual and audio cues to provide a realistic human-like appearance, such as facial expressions and gestures, to create more engaging and interactive experiences.

Using data-driven insights from fitness trackers, social comparison platforms, and personalized recommendations to help people make better choices and achieve their fitness goals.

A user interface (UI) that can evoke emotions in users, often through the use of visual elements like emojis, sounds, and animations.

A user interface that triggers negative emotions in users due to factors like poor design, excessive features, or confusing navigation.

A field of study that focuses on the interaction between humans and computers, particularly on the emotional aspect. It aims to understand and influence emotions through technology.

The ability of a computer to recognize and express emotions.

Techniques used in affective computing to collect data about emotions, such as facial expressions, physiological responses, and speech patterns.

A type of emotion detection technique that involves using cameras to analyze facial expressions and interpret emotions.

A type of emotion detection technique that uses biosensors to measure physiological responses, like galvanic skin response (GSR), revealing emotional states like stress or anxiety.

A type of emotion detection technique that analyzes speech patterns, including voice quality, intonation, pitch, and rhythm, to identify the speaker's emotional states.

A type of emotion detection technique that uses motion capture systems or accelerometer sensors to track movements and gestures, providing another dimension of emotional analysis.

A type of emotion detection technique that analyzes the content of communication, such as text messages, social media posts, and emails, to detect emotional cues.