HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

General AI Systems and Interaction Design / Industrial Knowledge Sharing and Cognitive Assistants

How can a continuously learning AI cognitive assistant (CLAICA) help workers address knowledge sharing and learning challenges in production environments?

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

How can a continuously learning AI cognitive assistant (CLAICA) help workers address knowledge sharing and learning challenges in production environments?

IUI '23Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant

Similar questions

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

How can 3D printing enable low-cost information encoding and decoding based on anisotropic light reflection?

CHI '25LumosX: 3D Printed Anisotropic Light-Transfer

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

How can 3D-printed surfaces be optimized to enhance control precision of light reflection direction and brightness contrast?

CHI '25LumosX: 3D Printed Anisotropic Light-Transfer

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

Which dynamic interactive application scenarios can this method support without relying on complex equipment?

CHI '25LumosX: 3D Printed Anisotropic Light-Transfer

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

How can subjective thermal sensation scores be predicted from combinations of contextual environmental features?

UbiComp '24Exploring Contextual Feature Combinations for Prediction of Subjective Thermal Perceptions

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

Can thermal comfort be predicted efficiently using only outdoor and personal features without PMV data?

UbiComp '24Exploring Contextual Feature Combinations for Prediction of Subjective Thermal Perceptions

helpResearch questionIndustrial Knowledge Sharing and Cognitive Assistants

Which specific contextual features contribute most to subjective thermal comfort prediction?

UbiComp '24Exploring Contextual Feature Combinations for Prediction of Subjective Thermal Perceptions

Related papers

LumosX: 3D Printed Anisotropic Light-Transfer

Qian Lu, Xiaoying Yang, Xue Wang

Remote Persons Are Closer Than They Appear: Home, Team and a Lockdown

Mirjam Augstein, Thomas Neumayr, Johannes Schönböck

AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy

Zehua Ma, Hang Zhou, Weiming Zhang