The 33 Questions per Minute

GPTKB entity

Statements (31)
Predicate Object
gptkbp:can_be_found_in Art galleries
gptkbp:collection Various institutions
gptkbp:engages_in Viewers actively
gptkbp:example Algorithmic art
gptkbp:exhibited_at gptkb:2008
gptkbp:explores Language and communication
gptkbp:features Real-time text generation
https://www.w3.org/2000/01/rdf-schema#label The 33 Questions per Minute
gptkbp:interacts_with Audience participation
gptkbp:is_a_tool_for Exploring human cognition
gptkbp:is_analyzed_in Art theory
gptkbp:is_designed_to Challenge cognitive processing
gptkbp:is_designed_to_provoke Thought and reflection
gptkbp:is_featured_in Art publications
gptkbp:is_influenced_by gptkb:literature
gptkbp:is_often_discussed_in Academic circles
gptkbp:is_often_featured_in Art exhibitions
gptkbp:is_part_of Digital art movement
Lozano-Hemmer's body of work
gptkbp:is_recognized_for Innovative design
gptkbp:is_reflected_in Modern communication challenges
gptkbp:is_significant_for Contemporary media art
gptkbp:monitors Questions at a rate of 33 per minute
gptkbp:notable_examples Art and technology convergence
gptkbp:notable_speakers Information overload
The speed of information
gptkbp:type Interactive installation
gptkbp:uses Speech recognition technology
gptkbp:utilizes Natural language processing
gptkbp:bfsParent gptkb:Rafael_Lozano-Hemmer
gptkbp:bfsLayer 6