Agent-Human Collaboration - Revision history

Tom at 22:12, 17 April 2025

2025-04-17T22:12:44Z

Tom: /* Case where Agent works on behalf of a User */

2025-04-17T21:38:08Z

‎Case where Agent works on behalf of a User

Tom: /* Reverences */

2025-01-12T01:20:11Z

‎Reverences

Tom: /* Context */

2025-01-12T01:19:30Z

‎Context

Tom: /* Case where Agent works on behalf of a Service */

2025-01-12T01:16:10Z

‎Case where Agent works on behalf of a Service

Tom: /* Context */

2025-01-12T01:14:39Z

‎Context

Tom: /* Reverences */

2024-02-28T05:23:10Z

‎Reverences

Tom: /* Case where Agent works on behalf of a User */

2023-12-08T22:58:56Z

‎Case where Agent works on behalf of a User

Tom: /* Case where Agent works on behalf of a Service */

2021-01-05T23:29:53Z

‎Case where Agent works on behalf of a Service

Tom: Created page with "==Full Title or Meme== Improved User Experience of the interactions of humans with agents that handle some tasks normally assigned to Humans. ==Context== Human time is ge..."

2021-01-05T23:21:54Z

Created page with "==Full Title or Meme== Improved User Experience of the interactions of humans with agents that handle some tasks normally assigned to Humans. ==Context== Human time is ge..."

New page

==Full Title or Meme==
Improved [[User Experience]] of the interactions of humans with agents that handle some tasks normally assigned to Humans.

==Context==
Human time is getting more valuable, computer time less valuable.

==Case where Agent works on behalf of a User==

==Case where Agent works on behalf of a Service==

==Reverences==

[[Category:User Experience]]

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 The agent must supply secure evidence that it has permission to be the user's [[Delegate]].
-==Case where Agent works on behalf of a Service==
+==Agent works on behalf of a Service==
 January 19 Talk on Agent-Human Collaboration with ACM Athena Lecturer Sarit Kraus
-Register now for the next free ACM TechTalk, "Agent-Human Collaboration and Learning for Improving Human Satisfaction," presented on Tuesday, January 19, at 11:00 AM ET/8:00 AM PT by Sarit Kraus, Professor at Bar-Ilan University and 2020-2021 ACM Athena Lecturer.
+Register for the next free ACM TechTalk, "Agent-Human Collaboration and Learning for Improving Human Satisfaction," presented on Tuesday, January 19, at 11:00 AM ET/8:00 AM PT by Sarit Kraus, Professor at Bar-Ilan University and 2020-2021 ACM Athena Lecturer.
 Leave your comments and questions with our speaker now and any time before the live event on ACM's Discourse Page. And check out the page after the webcast for extended discussion with your peers in the computing community, as well as further resources on agent-human collaboration.
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 We consider environments where a set of human workers needs to handle a large set of tasks while interacting with human users. The arriving tasks vary: they may differ in their urgency, their difficulty, and the required knowledge and time duration in which to perform them. Our goal is to decrease the number of workers, which we refer to as operators that are handling the tasks while increasing the users’ satisfaction. We present automated intelligent agents that will work together with the human operators in order to improve the overall performance of such systems and increase both operators’ and users’ satisfaction. Examples include: home hospitalization environment where remote specialists will instruct and supervise treatments that are carried out at the patients' homes; operators that tele-operate autonomous vehicles when human intervention is needed, and bankers that provide online service to customers. The automated agents could support the operators: the machine learning-based agent follows the operator’s work and makes recommendations, helping him interact proficiently with the users. The agents can also learn from the operators and eventually replace the operators in many of their tasks.
-==Case where human works at the direction of a Service==
+==Human works at the direction of a Service==
 ==Reverences==

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 # Whatever it was that has expected, that is not what is happening.
-==Case where Agent works on behalf of a User==
+==Agent works on behalf of a User==
 See also [[Intelligent Agent]].
 ==Case where Agent works on behalf of a Service==

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 ==Context==
--01-01
+-06<ref>David Harel and Assaf Marron, ''The Human-or-Machine Issue: Turing-Inspired Reflections on an Everyday Matter''  '''CACM 67''' No. 6 2024-06</ref>
 # Human time is getting more valuable, computer time less valuable.
 # Humans are trying to get the most of of [[Artificial Intelligence]].

← Older revision		Revision as of 01:16, 12 January 2025
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	We consider environments where a set of human workers needs to handle a large set of tasks while interacting with human users. The arriving tasks vary: they may differ in their urgency, their difficulty, and the required knowledge and time duration in which to perform them. Our goal is to decrease the number of workers, which we refer to as operators that are handling the tasks while increasing the users’ satisfaction. We present automated intelligent agents that will work together with the human operators in order to improve the overall performance of such systems and increase both operators’ and users’ satisfaction. Examples include: home hospitalization environment where remote specialists will instruct and supervise treatments that are carried out at the patients' homes; operators that tele-operate autonomous vehicles when human intervention is needed, and bankers that provide online service to customers. The automated agents could support the operators: the machine learning-based agent follows the operator’s work and makes recommendations, helping him interact proficiently with the users. The agents can also learn from the operators and eventually replace the operators in many of their tasks.		We consider environments where a set of human workers needs to handle a large set of tasks while interacting with human users. The arriving tasks vary: they may differ in their urgency, their difficulty, and the required knowledge and time duration in which to perform them. Our goal is to decrease the number of workers, which we refer to as operators that are handling the tasks while increasing the users’ satisfaction. We present automated intelligent agents that will work together with the human operators in order to improve the overall performance of such systems and increase both operators’ and users’ satisfaction. Examples include: home hospitalization environment where remote specialists will instruct and supervise treatments that are carried out at the patients' homes; operators that tele-operate autonomous vehicles when human intervention is needed, and bankers that provide online service to customers. The automated agents could support the operators: the machine learning-based agent follows the operator’s work and makes recommendations, helping him interact proficiently with the users. The agents can also learn from the operators and eventually replace the operators in many of their tasks.
		+	==Case where human works at the direction of a Service==

	==Reverences==		==Reverences==

← Older revision		Revision as of 05:23, 28 February 2024
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	==Reverences==		==Reverences==
		+	* Also see wiki page on [[Privacy Harms]].

	[[Category:User Experience]]		[[Category:User Experience]]

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 ==Reverences==
 * Also see wiki page on [[Privacy Harms]].
 [[Category:User Experience]]

← Older revision		Revision as of 22:58, 8 December 2023
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	==Case where Agent works on behalf of a User==		==Case where Agent works on behalf of a User==
		+	See also [[Intelligent Agent]].

	==Case where Agent works on behalf of a Service==		==Case where Agent works on behalf of a Service==