A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots

Abrams, Anna M. H.; Dautzenberg, P.; Jakobowsky, Carla; Ladwig, Stefan; Pütten, Astrid M. Rosenthal‐von der

doi:10.1145/3434073.3444662

Cited by 24 publications

(18 citation statements)

References 21 publications

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“…Abrams and colleagues [15] state in their paper about Existence Acceptance, passersby will still perceive, evaluate and show emotional reactions such as joy, surprise, or fear of the robot, although no interaction might take place [15]. However, to the authors' knowledge, the emotional reactions of the passersby to an autonomous service robot in public have not yet been thoroughly investigated in field studies.…”

Section: Emotional Reactionsmentioning

confidence: 99%

“…1 Cleaning robot driving in the hallway of the train station where the study took part. Depiction of front and backside of the robot eration), ownership (user vs. passerby), the voluntariness of use (no active choice vs. intention to use), human authority, user expertise and pre-knowledge of the robot's purpose and abilities [1,15]. Due to these particularities of robot application in public, previous models to explain technology acceptance cannot be directly applied.…”

Section: Existence Acceptancementioning

confidence: 99%

“…Traditional acceptance models such as the Automation Acceptance Model (AAM) [25] were not developed for indirect interactions such as co-existence in public. Therefore, Abrams and colleagues [15] described the so-called 'existence acceptance' which does not assume an intention to use or interact with the robot by the passerby: it is the '[...] passive approval of the presence of an autonomous robot [...with passersby which] 'might not want or need to use it, and still accept its existence' ( [15], p. 274).…”

Section: Existence Acceptancementioning

confidence: 99%

“…Trust in the robot has been found to predict Existence Acceptance in the online study conducted by [15]. However, the initial trust of passersby in autonomous robots in public has not yet been investigated in real-world scenarios.…”

Section: Trust In Autonomous Robots In Publicmentioning

confidence: 99%

“…So far, the dissemination of robots in our daily lives has focused on the domestic environment, [5][6][7] but soon service robots will be employed in shared spaces [8] like train stations, malls, and museums which represent crowded places with intuitive and unexpected human-robot encounters [9][10][11][12]. Interaction with lay users in public already gained research interest two decades ago [10,11,13,14] and has recently received increased attention again [2,[15][16][17], as commercial robots can now operate autonomously in public spaces due to technological progress. Especially, the public context poses a challenge as interaction with unsuspecting, vulnerable users occurs, and service robots moving autonomously might be perceived as unpredictable and hence trigger discomfort and distrust [4,18].…”

Section: Introductionmentioning

confidence: 99%

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Findings From A Qualitative Field Study with An Autonomous Robot in Public: Exploration of User Reactions and Conflicts

Babel¹,

Kraus²,

Baumann³

2022

Int J of Soc Robotics

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Soon service robots will be employed in public spaces with frequent human-robot interaction (HRI). To achieve a safe, trustworthy and acceptable HRI, service robots need to be equipped with interaction strategies suitable for the robot, user, and context. To gain realistic insights into the initial user reactions and challenges that arise when a mechanoid, autonomous service robot in public is applied, a field study with three data sources was conducted. In a first step, lay users’ intuitive reactions to a cleaning robot at a train station were observed ($$N = 344$$ N = 344 ). Second, passersby’s preferences for HRI interaction strategies were explored in interviews ($$n = 54$$ n = 54 ). As a third step, trust and acceptance of the robot were assessed with questionnaires ($$n = 32$$ n = 32 ). Identified challenges were social robot navigation in crowded places also applicable to vulnerable passersby, inclusive communication modalities, information of staff and public about the service robot application and the need for conflict resolution strategies to avoid an inefficient robot (e.g., testing behavior, path is blocked). This study provides insights into naive HRI in public and illustrates challenges, provides recommendations supported by literature and highlights aspects for future research to inspire a research agenda in the field of public HRI.

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Section: Emotional Reactionsmentioning

confidence: 99%

Section: Existence Acceptancementioning

confidence: 99%

Section: Existence Acceptancementioning

confidence: 99%

Section: Trust In Autonomous Robots In Publicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Findings From A Qualitative Field Study with An Autonomous Robot in Public: Exploration of User Reactions and Conflicts

Babel¹,

Kraus²,

Baumann³

2022

Int J of Soc Robotics

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Integration of Blockchain with Last Mile Delivery Robots Toward Marketing Innovations

Esmaeilian,

Behdad

2024

Financial Innovation and Technology

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The trustworthy and acceptable HRI checklist (TA-HRI): questions and design recommendations to support a trust-worthy and acceptable design of human-robot interaction

et al. 2022

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This contribution to the journal Gruppe. Interaktion. Organisation. (GIO) presents a checklist of questions and design recommendations for designing acceptable and trustworthy human-robot interaction (HRI). In order to extend the application scope of robots towards more complex contexts in the public domain and in private households, robots have to fulfill requirements regarding social interaction between humans and robots in addition to safety and efficiency. In particular, this results in recommendations for the design of the appearance, behavior, and interaction strategies of robots that can contribute to acceptance and appropriate trust. The presented checklist was derived from existing guidelines of associated fields of application, the current state of research on HRI, and the results of the BMBF-funded project RobotKoop. The trustworthy and acceptable HRI checklist (TA-HRI) contains 60 design topics with questions and design recommendations for the development and design of acceptable and trustworthy robots. The TA-HRI Checklist provides a basis for discussion of the design of service robots for use in public and private environments and will be continuously refined based on feedback from the community.

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A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots

Cited by 24 publications

References 21 publications

Findings From A Qualitative Field Study with An Autonomous Robot in Public: Exploration of User Reactions and Conflicts

Findings From A Qualitative Field Study with An Autonomous Robot in Public: Exploration of User Reactions and Conflicts

Integration of Blockchain with Last Mile Delivery Robots Toward Marketing Innovations

The trustworthy and acceptable HRI checklist (TA-HRI): questions and design recommendations to support a trust-worthy and acceptable design of human-robot interaction

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