Humor Patterns for Querying Alexa Traffic from CHI LBW 2022 Research

Humor patterns developed by Amazon researchers to query Alexa traffic for the paper "Alexa, Do You Want to Build a Snowman?". The dataset corresponds to hypotheses about humor types likely to appear in interactions with conversational agents. It is hosted on AWS Open Data and published under a CDLA-Sharing license.

Use Cases

• Testing hypotheses about humor types in conversational AI traffic based on the described patterns.
• Analyzing playful request patterns in voice assistant interactions based on the research framework.
• Developing humor detection or classification models for dialog systems based on the query patterns.

Strengths

• Directly linked to a published CHI LBW 2022 research paper.
• Hosted on a reliable platform (AWS Open Data).
• Released under a specific open license (CDLA-Sharing).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Amazon

Collection Method

Patterns were created by researchers to query Alexa traffic for evaluating hypotheses about humor types.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is unknown.