Build Your Own Genie and Jarvis:
2nd Workshop on Characteristics and Design Considerations of In-Vehicle Intelligent Agents
Embedded Files
September 18th, 09:00 - 12:00,
Room D510, Engineering Hall 4, Yonsei University
WORKSHOP TOPIC & GOALS
WORKSHOP TOPIC & GOALS
An intelligent agent (IA), which acts intelligently when performing user-given tasks, is a robust but also flexible computing system that is autonomous and situated in an environment. Intelligent agents (IAs) have penetrated our daily lives in recent years, mainly in the form of voice assistants such as Apple Siri, Microsoft Cortana, Google Home, or Amazon Alexa. Driving is another promising context of IA implementation, where drivers' visual attention resources are mainly occupied by driving tasks. Therefore, using an in-vehicle agent (IVA) can largely benefit drivers from utilizing the auditory channel to communicate with agents for both driving-related and non-driving-related tasks.
This workshop will be the second series following the last year’s first workshop. Last year’s two-day workshop was successful, and it allowed us to identify important design considerations of IVIAs. Through the earlier event, we defined two types of IVIAs borrowing the metaphor of movie characters (Genie and Jarvis in the film Aladdin and Ironman, respectively) and elicited specific features for each case.
We compare an at-home agent to Genie in Disney's animated feature film, Aladdin, who is capable of almost everything per request. [Passively]
We compare an IVA to Jarvis in the Marvel Universe, who is able to handle a various range of tasks even without user commands, including safety alerts and route planning. [Proactively]
Through the discussions and activities, the primary goals of this workshop are:
To integrate a list of design variables and characteristics of IVIAs
To develop IVIA prototypes, especially considering factors of appearances and voices
To investigate user preferences towards IVIA prototypes under different user scenarios
SCHEDULE
SCHEDULE
Time
Time
September 18, 9:00 - 12:00
September 18, 9:00 - 12:00
Location
Location
D510, Engineering Hall 4, Yonsei University
D510, Engineering Hall 4, Yonsei University
Introduction
9:00 - 9:15
Opening and Introduction of organizers and topics
Positioning Discussion
9:15 - 10:00
Preliminary IVIA design space (organizer presentation)
Final IVIA design space discussion and determination
IVIA Conceptulization
15-minute COFFEE BREAK
Design Activity
10:15 - 11:00
Developing IVIA Prototypes
15-minute COFFEE BREAK
Presentation
11:15 - 11:45
GROUP Presentation: What IVIA have you designed?
Closing
11:45 - 12:00
Wrap-up Discussion
ORGANIZERS
ORGANIZERS
MANHUA WANG is a Ph.D. student in the Grado Department of Industrial and Systems Engineering at Virginia Tech. As a graduate researcher in the Mind Music Machine Lab, she is leading the in-vehicle intelligent agent research project group.
SE HYEON PARK is a master student in the Department of Industrial and Systems Engineering at Gyeongsang National University. Her research interests lie on Human Factors and Human-Computer Interaction topics, especially in intelligent agents.
SEUL CHAN LEE is an Assistant Professor of the Department of Industrial and Systems Engineering at Gyeongsang National University. His Human-Centered Technology Lab tries to explore users’ needs and requirements, to evaluate system artifacts, and to make systems and devices better based on the theories and methodologies of Human Factors and Human-Computer Interaction.
PHILLIPP HOCK is a post-doc researcher in the Human Factors Department at Ulm University. His research interests are human-machine interaction and cooperation, especially regarding automated driving and robots.
MARTIN BAUMANN is a professor for Human Factors at Ulm University since 2014. His main research interests are the cognitive processes underlying the comprehension of dynamic situations in traffic and in the interaction with intelligent machines, such as highly automated vehicles or robots, concepts of cooperative human-machine interaction, human-machine trust development.
Supporting Team
MYOUNGHOON JEON is an Associate Professor of the Department of Industrial and Systems Engineering and the Department of Computer Science at Virginia Tech. His Mind Music Machine Lab tries to integrate different levels of research on human-automation (vehicles, robots, and agents) interaction, including neurological, psychological, and computational approaches. Dr. Jeon serve as a General Co-chair for AutomotiveUI 2022.
CONTACT:
If you have any questions regarding the workshop, please feel free to contact Manhua Wang (manhua@vt.edu).
Page updated
Google Sites
Report abuse