Program

The proposed full-day tutorial will involve (1) a review of the design framework, relevant social-scientific theories, methods and tools for data collection, modeling, and evaluation, and (2) hands-on group activities in which participants see this design framework in action and reflect on their designs. The tentative schedule for the tutorial is below.

Time

Activity

09:00-09:30

Introductions by the instructors and participants

09:30-10:00

Lecture: Introduction of the design framework — Dr. Mutlu

This lecture will present an interdisciplinary design framework that draws on social-scientific theory and empirical data to design social behavior for robots and examples of social cues that the instructors and others have designed using this framework.

10:00-10:30

Lecture: Interdisciplinary perspectives on social interaction & communication — Dr. Sabanovic

The instructor will review theories of social interaction at different levels of analysis (face-to-face, small group, interaction ecology) that can be applied to robot design and describe practical examples.

10:30-11:00

Hands-on activity: Extracting design guidelines from theory

This hands-on activity will provide groups of attendees with theoretical, social-scientific findings and a design scenario. Participants will follow our framework to extract high-level design guidelines for the design problem presented in the scenario. Teams will present their process and its outcome and reflect on the process they followed.

11:00-11:30

Break

11:30-12:00

Lecture: Methods for observational data collection and modeling — Dr. Mutlu & Dr. Sabanovic

This lecture will cover state-of-the-art methods for cognitive and computational modeling of human social behavior to extract design variables for robot design.

12:00-13:00

Hands-on activity: Extracting design variables from data

In this activity, we plan to provide participants with video data and ask them to follow the modeling techniques taught to extract low-level design variables for the design problem they were given in the previous activity. Participants will present their process, findings, and reflections on their experience.

13:00-14:00

Lunch

14:00-14:30

Lecture: Integrating theory and data into design — Dr. Mutlu

The instructor will review models (e.g., task models) and representations (e.g., Behavior Mark-up Language) for synthesizing theoretical and empirical findings into design specifications.

14:30-15:30

Hands-on activity: Designing social cues

This activity will ask participants to integrate the high-level design guidelines and low-level design variables into  design specifications and apply them to their design problem. They will use experience prototyping and iterative design to improve their design solutions. Participants will present their designs and reflections on the process.

15:30-16:00

Break

16:00-16:30

Lecture: Evaluating effectiveness in social interaction — Dr. Sabanovic

The lecture will provide participants with an overview of methods, techniques, and key considerations in planning, conducting, and analyzing data from field and laboratory experiments for evaluating communicative effectiveness.

16:30-17:30

Hands-on activity: Evaluation design & interpretation

In this activity, participants will devise a plan for evaluating their designs in a field or controlled study. They will form hypotheses about how different design variables might affect the interaction scenario and design a study to test their hypotheses. Participants will present their designs and reflect on their experiences.

17:30-18:00

Closing

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