Human-Animal Teams as an Analog for Future Human-Robot Teams: Influencing Design and Fostering Trust

Phillips, Elizabeth; Schaefer, Kristin E.; Billings, Deborah R.; Jentsch, Florian; Hancock, Peter A.

doi:10.5898/jhri.5.1.phillips

Cited by 34 publications

(28 citation statements)

References 88 publications

(97 reference statements)

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“…For humans to achieve their motives and goals, they actively transform objects in their environment, to meet their psychological as well as emotional needs under current circumstances [1,[34][35][36][37][38][40][41][42]. Studying the usage of any robot technology should benefit a deepened understanding and knowledge of how users make sense of technology.…”

Section: Specify Ux and Evaluation Goalsmentioning

confidence: 99%

“…It is argued that mutual interaction between humans and humans is needed if robots should be considered as partners instead of as tools [17,19,30,[35][36][37], but to what extent they need to grasp the intentions of others is a much debated issue. However, at least it is argued that to achieve some kind of action and intention recognition between humans and robots, which possibly is a pre-requisite for some basic social interaction skills [24,26,28,30], is necessary for developing into engaging in more advanced forms of social interaction such as joint actions and mutual collaboration [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom¹,

Alenljung²

2020

Sensors

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The coexistence of robots and humans in shared physical and social spaces is expected to increase. A key enabler of high-quality interaction is a mutual understanding of each other’s actions and intentions. In this paper, we motivate and present a systematic user experience (UX) evaluation framework of action and intention recognition between humans and robots from a UX perspective, because there is an identified lack of this kind of evaluation methodology. The evaluation framework is packaged into a methodological approach called ANEMONE (action and intention recognition in human robot interaction). ANEMONE has its foundation in cultural-historical activity theory (AT) as the theoretical lens, the seven stages of action model, and user experience (UX) evaluation methodology, which together are useful in motivating and framing the work presented in this paper. The proposed methodological approach of ANEMONE provides guidance on how to measure, assess, and evaluate the mutual recognition of actions and intentions between humans and robots for investigators of UX evaluation. The paper ends with a discussion, addresses future work, and some concluding remarks.

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Section: Specify Ux and Evaluation Goalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom¹,

Alenljung²

2020

Sensors

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“…This can be done ethnographically as such studies advance contextual understandings of robots as dependent on social relations and not simply replacements for these [12,16]. Ethnographic studies can also uncover users' trust in various robot designs and the sustainment of human interest in recurrent robot interaction [4,16,64] as well as clarifying ethical dimensions of human-robot interaction by describing new forms of normativity, as they are formed in the relations between machines and humans [65].…”

Section: Design Considerationsmentioning

confidence: 99%

Studying robots outside the lab: HRI as ethnography

Blond

2019

Paladyn, Journal of Behavioral Robotics

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As more and more robots enter our social world, there is a strong need for further field studies of humanrobot interaction. Based on a two-year ethnographic study of the implementation of a South Korean socially assistive robot in Danish elderly care, this paper argues that empirical and ethnographic studies will enhance the understanding of the adaptation of robots in real-life settings. Furthermore, the paper emphasizes how users and the context of use matters to this adaptation, as it is shown that roboticists are unable to control how their designs are implemented and how the sociality of social robots is inscribed by its users in practice. This paper can be seen as a contribution to long-term studies of HRI. It presents the challenges of robot adaptation in practice and discusses the limitations of the present conceptual understanding of human-robot relations. The ethnographic data presented herein encourage a move away from static and linear descriptions of the implementation process toward more contextual and relational accounts of HRI.

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“…Some of the first modern practical robots were created in the late 1930s for use in factories (Taylor, 1938). Such creations induce in people both intrigue and skepticism (Phillips, Schaefer, Billings, Jentsch, & Hancock, 2016). As robot capabilities have advanced from simple “pick and place” functionality to self-sufficient humanoid military soldiers, the social attitude toward robots has continued to be enthusiastic, yet still wary of the potential attendant dangers.…”

Section: Social Conformity In Simulation-based Human-robot Interactionmentioning

confidence: 99%

Social Conformity Effects on Trust in Simulation-Based Human-Robot Interaction

Volante¹,

Sosna²,

Kessler

et al. 2018

Hum Factors

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Objective: We investigated the co-acting influences of communication and social conformity on trust in human-robot interaction. Background: Previous work has investigated aspects of the robot, the human, and the environment as influential factors in the human-robot relationship. Little work has examined the conjoint effects of social conformity and communication on this relationship. As social conformity and communication have been shown to affect human-human trust, there are a priori reasons to believe that they will play an influential role in human-robot trust also. Method: The experiment examined the influences of social conformity and robot communication on trust. A 2 × 2 (communication × social group) design was implemented with each variable having two levels (communication, no communication; positive social group, negative social group). Results: We created a communication manipulation which we then demonstrated to mediate the trust level between human and robot. However, this influence on trust was overcome by social information in which the subsequent trust level, attributed to the robot, was dominated by expressed social group attitudes to that robot. Conclusion: The results confirm the importance of human social assessments over direct robot communication in setting human-robot trust levels. When social opinions are expressed, observers appear to conform to the trust displayed by the group than relying on their own judgment. Application: In human-robot teams, the perceptions of the group may exert a greater impact than even robot communication. This may be especially important when new human members are introduced into such teams.

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Human-Animal Teams as an Analog for Future Human-Robot Teams: Influencing Design and Fostering Trust

Cited by 34 publications

References 88 publications

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Studying robots outside the lab: HRI as ethnography

Social Conformity Effects on Trust in Simulation-Based Human-Robot Interaction

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