Human–agent teamwork in dynamic environments

Wissen, Arlette van; Gal, Ya’akov; Kamphorst, Bart A.; Dignum, Virginia

doi:10.1016/j.chb.2011.08.006

Cited by 51 publications

(33 citation statements)

References 37 publications

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“…As computers become intelligent collaborators in interactive problem-solving tasks (Lin and Kraus, 2010;Bradshaw et al, 2012;van Wissen et al, 2012), appropriate trust becomes more important for human-computer interactions. In particular, appropriate levels of trust are needed to find a match between attributed and actual capabilities (Muir, 1987).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A Social Cognition Perspective on Human–Computer Trust: The Effect of Perceived Warmth and Competence on Trust in Decision-Making With Computers

Kulms

Kopp

2018

Front. Digit. Humanit.

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Trust is a crucial guide in interpersonal interactions, helping people to navigate through social decision-making problems and cooperate with others. In human-computer interaction (HCI), trustworthy computer agents foster appropriate trust by supporting a match between their perceived and actual characteristics. As computers are increasingly endowed with capabilities for cooperation and intelligent problem-solving, it is critical to ask under which conditions people discern and distinguish trustworthy from untrustworthy technology. We present an interactive cooperation game framework allowing us to capture human social attributions that indicate trust in continued and interdependent human-agent cooperation. Within this framework, we experimentally examine the impact of two key dimensions of social cognition, warmth and competence, as antecedents of behavioral trust and self-reported trustworthiness attributions of intelligent computers. Our findings suggest that, first, people infer warmth attributions from unselfish vs. selfish behavior and competence attributions from competent vs. incompetent problem-solving. Second, warmth statistically mediates the relation between unselfishness and behavioral trust as well as between unselfishness and perceived trustworthiness. We discuss the possible role of human social cognition for human-computer trust.

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Section: Theoretical Backgroundmentioning

confidence: 99%

A Social Cognition Perspective on Human–Computer Trust: The Effect of Perceived Warmth and Competence on Trust in Decision-Making With Computers

Kulms

Kopp

2018

Front. Digit. Humanit.

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“…Thus, multiplayer computer games are used (competition vs. cooperation). Such games help to study application of efforts and goal commitment in the course of joint work (Peng & Hsieh, 2012), fairness in the distribution of the reward among the participants, and willingness to preserve group membership (van Wissen, Gal, Kamphorst, & Dignum, 2012). Network simulation is used for assessment of problem solving by, for example, military tactical teams (Fletcher, 1999).…”

Section: Research-article2015mentioning

confidence: 99%

GROUP PROFILE Computer Technique

Sidorenkov

Pavlenko²

2015

Sage Open

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This article contains a description of the structure, the software and functional capabilities, and the scope and purposes of application of the Group Profile (GP) computer technique. This technique rests on a conceptual basis (the microgroup theory), includes 16 new and modified questionnaires, and a unique algorithm, tied to the questionnaires, for identification of informal groups. The GP yields a wide range of data about the group as a whole (47 indices), each informal group (43 indices), and each group member (16 indices). The GP technique can be used to study different types of groups: production (work groups, design teams, military units, etc.), academic (school classes, student groups), and sports.

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“…However, what we are concerned with in this paper are systems that offer individuals personal coaching in a domain of their everyday lives for an extended period of time. Systems that, partly due to the recurrent nature of the interactions, users will develop complex relationships with that involve reciprocity and trust (Pruitt and Carnevale 1993;Lee and Nass 2010;Van Wissen et al 2012).…”

Section: How E-coaching Affects the Options People Considermentioning

confidence: 99%

Why option generation matters for the design of autonomous e-coaching systems

Kamphorst

Kalis

2014

AI & Soc

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Autonomous e-coaching systems offer their users suggestions for action, thereby affecting the user's decision-making process. More specifically, the suggestions that these systems make influence the options for action that people actually consider. Surprisingly though, options and the corresponding process of option generation-a decision-making stage preceding intention formation and action selection-have received very little attention in the various disciplines studying decision making. We argue that this neglect is unjustified and that it is important, particularly for designers of autonomous e-coaching systems, to understand how human option generation works. The aims of this paper are threefold. The first aim is to generate awareness with designers of autonomous e-coaching systems that these systems do in fact influence their users' options. The second is to show that understanding the interplay between a person's options and the e-coaching system's suggestions is important for improving the effectiveness of the system. The third is that the very same interplay is also crucial for designing e-coaching systems that respect people's autonomy.

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Human–agent teamwork in dynamic environments

Cited by 51 publications

References 37 publications

A Social Cognition Perspective on Human–Computer Trust: The Effect of Perceived Warmth and Competence on Trust in Decision-Making With Computers

A Social Cognition Perspective on Human–Computer Trust: The Effect of Perceived Warmth and Competence on Trust in Decision-Making With Computers

GROUP PROFILE Computer Technique

Why option generation matters for the design of autonomous e-coaching systems

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