Loading...
Please wait, while we are loading the content...
Similar Documents
Habit detection within a long-term interaction with a social robot: an exploratory study
| Content Provider | ACM Digital Library |
|---|---|
| Author | Lim, Angelica Rivoire, Claire |
| Abstract | In recent years, social robots have become more popular for use in the home. In this paper, we describe the problem of robot proactivity in long-term Human-Robot Interactions (HRI). In particular, it is difficult to find the right balance of a robot that speaks or proposes activities at the right moment with appropriate frequency. Too little proactivity, and the robot becomes boring. Too much proactivity, and the robot becomes annoying. Further, the content of proactive utterances by the robot during a long-term HRI become tiresome unless they are contextual and based in reality. We propose a technical solution to this problem divided into three parts: 1) family-specific activity logging, 2) contextual comments that suggest consciousness of time and repeated interactions, and 3) proposals of activities based on the user's habits. Towards a robot that is accepted into people's homes, we propose an evolutive system that learns user's schedules over time and adapts its proactive utterances based on prior history. We show the preliminary results of an exploratory data collection study containing up to 8 weeks of usage of the Pepper humanoid robot in 10 European homes. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450345606 |
| DOI | 10.1145/3005338.3005342 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-16 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
