TAPping into mental models with blocks

Daniel Rough; Aaron Quigley

doi:10.1109/BLOCKS.2017.8120429

TAPping into mental models with blocks

Daniel Rough, Aaron Quigley

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Trigger-Action Programming (TAP) has been shown to support end-users' rule-based mental models of context-aware applications. However, when desired behaviours increase in complexity, this can lead to ambiguity that confuses events, states, and how they can be combined in meaningful ways. Blocks programming could provide a solution, through constrained editing of visual triggers, conditions and actions. We observed slips and mistakes by users performing TAP with Jeeves, our domain-specific blocks environment, and propose solutions.

Original language	English
Title of host publication	Proceedings - 2017 IEEE Blocks and Beyond Workshop (B&B)
Editors	Franklyn Turbak, Caitlin Kelleher, Jeff Gray, Mark Sherman
Publisher	IEEE
Pages	115-116
Number of pages	2
ISBN (Electronic)	9781538624807
ISBN (Print)	9781538624814
DOIs	https://doi.org/10.1109/BLOCKS.2017.8120429
Publication status	Published - 27 Dec 2017
Event	2nd IEEE Blocks and Beyond Workshop (B&B 2017) - Raleigh, United States Duration: 9 Oct 2017 → 10 Oct 2017

Conference

Conference	2nd IEEE Blocks and Beyond Workshop (B&B 2017)
Country/Territory	United States
City	Raleigh
Period	9/10/17 → 10/10/17

Keywords

Cognitive science
Programming
Visualization
Smart phones
Usability

ASJC Scopus subject areas

Software

Access to Document

10.1109/BLOCKS.2017.8120429

Author Accepted ManuscriptAccepted author manuscript, 451 KB

Cite this

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title = "TAPping into mental models with blocks",

abstract = "Trigger-Action Programming (TAP) has been shown to support end-users' rule-based mental models of context-aware applications. However, when desired behaviours increase in complexity, this can lead to ambiguity that confuses events, states, and how they can be combined in meaningful ways. Blocks programming could provide a solution, through constrained editing of visual triggers, conditions and actions. We observed slips and mistakes by users performing TAP with Jeeves, our domain-specific blocks environment, and propose solutions.",

keywords = "Cognitive science, Programming, Visualization, Smart phones, Usability",

author = "Daniel Rough and Aaron Quigley",

year = "2017",

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doi = "10.1109/BLOCKS.2017.8120429",

language = "English",

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AB - Trigger-Action Programming (TAP) has been shown to support end-users' rule-based mental models of context-aware applications. However, when desired behaviours increase in complexity, this can lead to ambiguity that confuses events, states, and how they can be combined in meaningful ways. Blocks programming could provide a solution, through constrained editing of visual triggers, conditions and actions. We observed slips and mistakes by users performing TAP with Jeeves, our domain-specific blocks environment, and propose solutions.

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KW - Programming

KW - Visualization

KW - Smart phones

KW - Usability

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M3 - Conference contribution

AN - SCOPUS:85048308003

SN - 9781538624814

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EP - 116

BT - Proceedings - 2017 IEEE Blocks and Beyond Workshop (B&B)

A2 - Turbak, Franklyn

A2 - Kelleher, Caitlin

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A2 - Sherman, Mark

PB - IEEE

T2 - 2nd IEEE Blocks and Beyond Workshop (B&B 2017)

Y2 - 9 October 2017 through 10 October 2017

ER -

TAPping into mental models with blocks

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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