Abstract
Conversational Agents (CAs) such as Apple's Siri and Amazon's Alexa are well-suited for task-oriented interactions ("Call Jason"), but other interaction types are often beyond their capabilities. One notable example is playful requests: for example, people ask their CAs personal questions ("What's your favorite color?") or joke with them, sometimes at their expense ("Find Nemo"). Failing to recognize playfulness causes user dissatisfaction and abandonment, destroying the precious rapport with the CA. Today, playful CA behavior is achieved through manually curated replies to hard-coded questions. We take a step towards understanding and scaling playfulness by characterizing playful opportunities. To map the problem's landscape, we draw inspiration from humor theories and analyze real user data. We present a taxonomy of playful requests and explore its prevalence in real Alexa traffic. We hope to inspire new avenues towards more human-like CAs.
Original language | English |
---|---|
Title of host publication | CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
Pages | 423:1-423:7 |
Number of pages | 7 |
ISBN (Electronic) | 9781450391566 |
DOIs | |
State | Published - 27 Apr 2022 |
Event | 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 - Virtual, Online, United States Duration: 30 Apr 2022 → 5 May 2022 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
---|
Conference
Conference | 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 |
---|---|
Country/Territory | United States |
City | Virtual, Online |
Period | 30/04/22 → 5/05/22 |
Bibliographical note
Publisher Copyright:© 2022 ACM.
Keywords
- Computational Humor
- Computational Playfulness
- Conversational Agents
- Non-Task Requests
- Virtual Assistants