The effect of displaying system confidence information on the usage of autonomous systems for non-specialist applications: a lab study
The effect of displaying system confidence information on the usage of autonomous systems for non-specialist applications: a lab study
Autonomous systems are designed to take actions on behalf of users, acting autonomously upon data from sensors or online sources. As such, the design of interaction mechanisms that enable users to understand the operation of autonomous systems and flexibly delegate or regain control is an open challenge for HCI. Against this background, in this paper we report on a lab study designed to investigate whether displaying the confidence of an autonomous system about the quality of its work, which we call its confidence information, can improve user acceptance and interaction with autonomous systems. The results demonstrate that confidence information encourages the usage of the autonomous system we tested, compared to a situation where such information is not available. Furthermore, an additional contribution of our work is the methodology we employ to study users' incentives to do work in collaboration with the autonomous system. In experiments comparing different incentive strategies, our results indicate that our translation of behavioural economics research methods to HCI can support the study of interactions with autonomous systems in the lab.
Verame, Jhim Kiel M.
32db6ab4-f82e-461d-b3c8-86ca20db0198
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
2 January 2016
Verame, Jhim Kiel M.
32db6ab4-f82e-461d-b3c8-86ca20db0198
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Verame, Jhim Kiel M., Costanza, Enrico and Ramchurn, Sarvapali
(2016)
The effect of displaying system confidence information on the usage of autonomous systems for non-specialist applications: a lab study.
Conference on Human Factors in Computing Systems (CHI).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Autonomous systems are designed to take actions on behalf of users, acting autonomously upon data from sensors or online sources. As such, the design of interaction mechanisms that enable users to understand the operation of autonomous systems and flexibly delegate or regain control is an open challenge for HCI. Against this background, in this paper we report on a lab study designed to investigate whether displaying the confidence of an autonomous system about the quality of its work, which we call its confidence information, can improve user acceptance and interaction with autonomous systems. The results demonstrate that confidence information encourages the usage of the autonomous system we tested, compared to a situation where such information is not available. Furthermore, an additional contribution of our work is the methodology we employ to study users' incentives to do work in collaboration with the autonomous system. In experiments comparing different incentive strategies, our results indicate that our translation of behavioural economics research methods to HCI can support the study of interactions with autonomous systems in the lab.
Text
proceedings.pdf
- Other
More information
Accepted/In Press date: 14 December 2015
Published date: 2 January 2016
Venue - Dates:
Conference on Human Factors in Computing Systems (CHI), 2015-12-14
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 385069
URI: http://eprints.soton.ac.uk/id/eprint/385069
PURE UUID: e23a10ac-dc3a-45df-8ced-afb3f044b052
Catalogue record
Date deposited: 16 Dec 2015 11:40
Last modified: 15 Mar 2024 03:22
Export record
Contributors
Author:
Jhim Kiel M. Verame
Author:
Enrico Costanza
Author:
Sarvapali Ramchurn
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics