Human-AI Interaction Coding Sequences — hai

Coded sequences of human-AI programming interactions from 34 projects across 429 sessions. Actions are coded at two granularity levels (broad categories vs fine-grained codes) and split by actor (Human, AI, or both combined). Each row is one session and every column is a time step: the columns are named T1, T2, ... Tn and hold the sequential actions. NA indicates the session ended before that time step.

Usage

coding

coding_detailed

ai_coding

ai_detailed

human_ai

human_ai_detailed

Format

coding: 429 x 164 data.frame. Human actions by category (9 states: Command, Correct, Frustrate, Inquire, Interrupt, Refine, Request, Specify, Verify).
coding_detailed: 429 x 164 data.frame. Human actions by fine-grained code (15 states: Accept, Arguing, Ask, Command, Context, Correction, Direct, Frustration, Interrupt, Refinement, Reject, Request, Specification, Thinking, Verification).
ai_coding: 428 x 138 data.frame. AI actions by category (8 states: Ask, Delegate, Execute, Explain, Investigate, Plan, Repair, Report).
ai_detailed: 428 x 138 data.frame. AI actions by fine-grained code (18 states: Acknowledge, Apologize, Ask, Comply, Delegate, Diagnose, Escape, Execute, Explain, Hedge, Investigate, Plan, Refuse, Report, Retry, Scaffold, Suggest, Warn).
human_ai: 429 x 287 data.frame. Both actors combined, by category (17 states).
human_ai_detailed: 429 x 287 data.frame. Both actors combined, by fine-grained code (32 states).

An object of class data.frame with 429 rows and 164 columns.

An object of class data.frame with 428 rows and 138 columns.

An object of class data.frame with 429 rows and 287 columns.

Source

Human-AI programming interaction study, 34 projects, 429 sessions.

Value

A data.frame where each row is one session and each column is one time step. Every column is named T1, T2, ... Tn and holds the action code at that step, with NA indicating the session ended before that time step; there are no identifier columns. Six variants are provided: coding (human actions by category, 9 states), coding_detailed (human actions by fine-grained code, 15 states), ai_coding (AI actions by category, 8 states), ai_detailed (AI actions by fine-grained code, 18 states), human_ai (both actors by category, 17 states), and human_ai_detailed (both actors by fine-grained code, 32 states).

Examples

data(coding)
str(coding, list.len = 6)
#> 'data.frame':	429 obs. of  164 variables:
#>  $ T1  : chr  "Request" "Command" "Specify" "Specify" ...
#>  $ T2  : chr  "Specify" "Request" "Command" "Command" ...
#>  $ T3  : chr  "Command" "Command" "Specify" "Specify" ...
#>  $ T4  : chr  "Correct" "Interrupt" "Interrupt" "Interrupt" ...
#>  $ T5  : chr  "Specify" "Correct" "Request" "Command" ...
#>  $ T6  : chr  "Frustrate" "Request" "Specify" "Request" ...
#>   [list output truncated]
dim(coding)
#> [1] 429 164