Approachability: How People Interpret Automatic Door Movement as Gesture
نویسندگان
چکیده
Automatic doors exemplify the challenges of designing emotionally welcoming interactive systems. We attempt to broaden the automatic door’s repertoire of signals by examining how people respond to a variety of “door gestures” designed to offer different levels of approachability. In a pilot study, participants (N=48) who walked past a physical gesturing door were asked to fill out a questionnaire about that experience. In our follow-up study, participants (N=51) viewed 12 video clips depicting a person walking toward and past an automatic door that moved with different speeds and trajectories. In both studies, our Likert-scale measures and open-ended responses indicate that participants viewing the door behavior prototypes show significant uniformity in the interpretation of the door’s behavior, and that they attribute these motions as gestures with human-like characteristics such as cognition and intent. Conference theme: Teaching across cultures design
منابع مشابه
What Do Robot Gestures Tell Us? Emotions and Messages in Simple Robotic Movement
Gesturing is an important activity in social interaction, but how will different types of robot gesture be interpreted by people? Understanding how humans interpret robot gestures will aid design of effective social robots. We examine the generation and interpretation of gestures in a simple social robot capable of head and arm movement using two studies. In the first study, four participants c...
متن کاملVision Based Hand Gesture Recognition for Indian Sign Languages
Sign Language is a language which uses visually transmitted sign patterns to convey meaning by simultaneously combining hand shapes, orientation and movement of the hands to fluently express one's thoughts / communicate with others and is commonly used by the physically impaired people who cannot speak or hear. Automatic Sign Language system requires fast and accurate techniques for identifying...
متن کاملAutomatic face analysis tools for interactive digital games
Individuals with Autism Spectrum Condition (ASC) face a number of challenges during social interaction due to their limited ability to decode non-verbal cues. Interactive digital games can help as tools to teach such people how to express and recognise non-verbal cues and interpret their emotional meanings. In this paper, we present a set of interactive interfaces that can assist in teaching pe...
متن کاملVision Based Hand Gesture Recognition for Indian Sign Languages Using Local Binary Patterns with Support Vector Machine Classifier
Sign Language is a language which uses visually transmitted sign patterns to convey meaning by simultaneously combining hand shapes, orientation and movement of the hands, arms or body, and facial expressions to fluently express one's thoughts / communicate with others and is commonly used by the physically impaired people who cannot speak or hear. Automatic Sign Language system requires fast a...
متن کاملLearning from gesture: How early does it happen?
Iconic gesture is a rich source of information for conveying ideas to learners. However, in order to learn from iconic gesture, a learner must be able to interpret its iconic form-a nontrivial task for young children. Our study explores how young children interpret iconic gesture and whether they can use it to infer a previously unknown action. In Study 1, 2- and 3-year-old children were shown ...
متن کامل