How Does the General Population Understand Robot State?
| Autor: | Abhijeet Agnihotri, Katherine M. Tsui |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
education.field_of_study Social robot Computer science Population 02 engineering and technology 010501 environmental sciences 01 natural sciences Session (web analytics) Human–robot interaction 020901 industrial engineering & automation Human–computer interaction Participatory design Robot Set (psychology) education 0105 earth and related environmental sciences Booting |
| Zdroj: | HRI (Companion) |
| DOI: | 10.1145/3434074.3447145 |
| Popis: | With an increasing number of home and social robot products, it is essential for the general population to feel comfortable in using and understanding these robots in their homes. The goal of this research is to understand the general population's definition of "robot state." We conducted 11 participatory design groups (PDGs) (n=30), in which participants completed two exercises: (1) Memory based: they recalled their past robots to come up with a working "robot state" definition through a series of exercises, and (2) Example-based: they saw short videos of 3 different home robots. Each PDG session yielded a set of "robot states" they felt were important to communicate to a user and a "robot state" definition, which were tested with the same set of participants via an online survey. We found that On/off/booting was significantly rated as more important than all other robot states. Interestingly, task-related stimuli did not result in task-related states being rated being more important to communicate to the user. We believe establishing fundamental knowledge of "robot states" will increase acceptability of home robots by the users and aid robot designers by providing information on states that are essential to be communicated. |
| Databáze: | OpenAIRE |
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