Investigating Politeness Strategies and Their Persuasiveness for a Robotic Elderly Assistant

Hammer, Stephan; Lugrin, Birgit; Bogomolov, S. L.; Janowski, Kathrin; André, Elisabeth

doi:10.1007/978-3-319-31510-2_27

Cited by 30 publications

(20 citation statements)

References 19 publications

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“…In our future work, we aim to address the prototype's learning process, which should be expanded to explore and learn about different kinds of robot behaviors and their influence on the users' drink selection. One option is to incorporate politeness strategies for recommendations [10] or an interactive dialog system with different states of information presentation [26] to optimize the robot's strategy. We also plan to explore alternative sensing techniques for the tracking of different drink vessels, such as computer vision.…”

Section: Resultsmentioning

confidence: 99%

“…In order to motivate the users, the robot needs to be both appealing and persuasive. Besides the physical appearance, finding the proper balance between politeness and persuasiveness is still an open challenge, since it depends on a multitude of situational and individual factors [10]. It is likely that this aspect of our prototype can be improved by adapting not only the content of the recommendation, but also the manner in which it is presented.…”

Section: Acceptance Of the Robotmentioning

confidence: 99%

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Drink-O-Mender

Ritschel

Seiderer

Janowski

et al. 2018

Proceedings of the 3rd International Workshop on Multisensory Approaches to Human-Food Interaction

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Social robots become increasingly important in the domain of healthcare and maintenance. Nutrition is not an exception: research robots are used in several experiments to teach people about healthy nutrition. Moreover, robotic products, whose task is to keep track of the user's nutrition, to provide tips, reminders, and to recognize anomalies in health-related behaviors are on the way to market. To convince users of a robot's recommendations, speech is an important interaction modality. However, automatically adapting a robot's spoken advise depending on users' behaviors is still a challenge. We address this issue by building Drink-O-Mender, an interactive installation, which includes a Reeti robot augmented with additional sensing and adaptation abilities. The robot is designed to offer drinks in a social setting. It aims to convince users of consuming healthy drinks while adapting its spoken advices depending on the users' selected beverage choices. The installation is equipped with custom hardware including a smartscale to sense the type and quantity of consumed drinks. We describe the interactive installation in detail and demonstrate feasibility of generating adaptive spoken advices by reporting on insights gained from exhibiting the installation during a public event and observing interactions of 78 users with the robot.

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Section: Resultsmentioning

confidence: 99%

Section: Acceptance Of the Robotmentioning

confidence: 99%

Drink-O-Mender

Ritschel

Seiderer

Janowski

et al. 2018

Proceedings of the 3rd International Workshop on Multisensory Approaches to Human-Food Interaction

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“…Messages should not only be persuasive, but also polite. In the research of [11] the politeness and persuasiveness of different politeness strategies is researched among an elderly target group. Among the tested strategies were direct command, indirect suggestion, and questions.…”

Section: Persuasive Communicationmentioning

confidence: 99%

“…cups or teaspoons). (11) The user gets visual feedback on its intake compared to the requested intake. (12) The user should be able to also enter intake on another day than today.…”

Section: Extended Function Requirementsmentioning

confidence: 99%

Designing a system with persuasive communication to improve diet compliance for elderly users

Lubbe

Klein

2019

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare

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This paper introduces a system with persuasive communication to improve the diet compliance and adherence of participants of the PROMISS-project. For this persuasive communication different strategies and ways of personalisation are used, in accordance with existing literature. Furthermore, as the target group is elderly users, the design is tailored to their specific needs. A first prototype was created, based on seven functional requirements. During a pilot study, the prototype is evaluated with seven participants. Based on lessons learned during this pilot, as well as new requirements from the PROMISS dietitians, a refined design of the system was implemented. This refined design is briefly evaluated with four participants of the pilot during individual interviews. The changes made to the prototype were evaluated positively. ACM Reference format: L.M. van der Lubbe and M.C.A. Klein. 2019. Designing a system with persuasive communication to improve diet compliance for elderly users. In Proceed-

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“…Therefore, the robot's spoken language requires special attention and should be chosen carefully. Not only does the formulation impact the perceived personality profile but also the perceived persuasion, for example in the context of recommendations by robotic elderly assistants [7]. This is a major aspect to consider, especially with regard to assistive functionalities related to health like reminding of taking pills.…”

Section: Introductionmentioning

confidence: 99%

Adaptive linguistic style for an assistive robotic health companion based on explicit human feedback

Ritschel

Seiderer

Janowski

et al. 2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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In the future, an increasing amount of social robots will be found in our domestic environments to support and facilitate everyday life. Especially in the context of assistive, health-related support, more and more robotic products are on the way to the consumer market. While one can observe that many commercial efforts are put into the visual appearance, embodiment, motion and sound of companion robots, this paper focuses on the robot's conversational skills. We investigate how to adapt the robot's linguistic style to the individual user's preferences. This includes two forms of robot persona in the context of information retrieval tasks and games, as well as politeness with regard to recommendations. Therefore, we present an autonomous companion robot, which adapts its spoken language based on explicit human feedback. It provides several functionalities for information retrieval, reminders, communication and entertainment as well as health-related recommendations. Results of the in-situ study with elderly participants indicate that human preferences vary with regard to the robot's employed politeness strategies. Furthermore, the participants preferred assistant persona over companion persona in the information retrieval context. CCS CONCEPTS • Computing methodologies → Intelligent agents; Reinforcement learning; • Human-centered computing → Haptic devices;

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Investigating Politeness Strategies and Their Persuasiveness for a Robotic Elderly Assistant

Cited by 30 publications

References 19 publications

Drink-O-Mender

Drink-O-Mender

Designing a system with persuasive communication to improve diet compliance for elderly users

Adaptive linguistic style for an assistive robotic health companion based on explicit human feedback

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