The Impact of Social Expectation towards Robots on Human-Robot Interactions

This work is presented in defence of the thesis that it is possible to measure the social expectations and perceptions that humans have of robots in an explicit and succinct manner, and these measures are related to how humans interact with, and evaluate, these robots. There are many ways of understanding how humans may respond to, or reason about, robots as social actors, but the approach that was adopted within this body of work was one which focused on interaction-specific expectations, rather than expectations regarding the true nature of the robot. These expectations were investigated using a questionnaire-based tool, the University of Hertfordshire Social Roles Questionnaire, which was developed as part of the work presented in this thesis and tested on a sample of 400 visitors to an exhibition in the Science Gallery in Dublin. This study suggested that responses to this questionnaire loaded on two main dimensions, one which related to the degree of social equality the participants expected the interactions with the robots to have, and the other was related to the degree of control they expected to exert upon the robots within the interaction. A single item, related to pet-like interactions, loaded on both and was considered a separate, third dimension. This questionnaire was deployed as part of a proxemics study, which found that the degree to which participants accepted particular proxemics behaviours was correlated with initial social expectations of the robot. If participants expected the robot to be more of a social equal, then the participants preferred the robot to approach from the front, while participants who viewed the robot more as a tool preferred it to approach from a less obtrusive angle. The questionnaire was also deployed in two long-term studies. In the first study, which involved one interaction a week over a period of two months, participant social expectations of the robots prior to the beginning of the study, not only impacted how participants evaluated open-ended interactions with the robots throughout the two-month period, but also how they collaborated with the robots in task-oriented interactions as well. In the second study, participants interacted with the robots twice a week over a period of 6 weeks. This study replicated the findings of the previous study, in that initial expectations impacted evaluations of interactions throughout the long-term study. In addition, this study used the questionnaire to measure post-interaction perceptions of the robots in terms of social expectations. The results from these suggest that while initial social expectations of robots impact how participants evaluate the robots in terms of interactional outcomes, social perceptions of robots are more closely related to the social/affective experience of the interaction

A Narrative Approach to Human-Robot Interaction Prototyping for Companion Robots

© 2020 Kheng Lee Koay et al., published by De Gruyter This work is licensed under the Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/This paper presents a proof of concept prototype study for domestic home robot companions, using a narrative-based methodology based on the principles of immersive engagement and fictional enquiry, creating scenarios which are inter-connected through a coherent narrative arc, to encourage participant immersion within a realistic setting. The aim was to ground human interactions with this technology in a coherent, meaningful experience. Nine participants interacted with a robotic agent in a smart home environment twice a week over a month, with each interaction framed within a greater narrative arc. Participant responses, both to the scenarios and the robotic agents used within them are discussed, suggesting that the prototyping methodology was successful in conveying a meaningful interaction experience.Peer reviewe

The Platformisation Of Work In Europe: Results from research in 13 European countries

These data are from an innovative survey carried out fourteen times across thirteen European countries (with the United Kingdom being surveyed twice - in 2016 and 2019), revealing, for the first time, the extent and characteristics of platform workers. In the above mentioned reports, the survey results are complemented by in-depth interviews with a range of platform workers, shedding light on the realities of their working lives, including the stresses, fears and health hazards they face, as well as the satisfactions they experience. This joint research project was launched in January 2016. It was carried out by the University of Hertfordshire in association with the Foundation for European Progressive Studies (FEPS) and UNI Europa, the European services workers union. Co-funding for national surveys was provided by Unionen in Sweden, the TNO Research Institute in the Netherlands, The Chamber of Labour (AK) in Austria, ver.di and IG Metall in Germany, syndicom in Switzerland, the Fondazione EYU in Italy, the Estonian Parliament (Riigikogu) in Estonia, the Kalevi Sorsa Foundation and Service Union United (PAM), in Finland, the Felipe Gonzalez Foundation in Spain, Progresiva in Slovenia, the Masarykova demokratická akademie and the Friedrich-Ebert-Stiftung office in Prague in Czechia, the Trades Union Congress (TUC) in the UK and the Fondation Jean-Jaurès in France. Fieldwork for the 14 surveys in the 13 countries was carried out by Ipsos MORI between January 2016 and May 2019.Foundation For European Progressive StudiesTrades Union Congress (TUC

Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration

Kheng Koay, Dag Sverre Syrdal and Kerstin Dautenhahn, 'Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration', paper presented at the IEEE International Symposium . Columbia University, New York City, New York, USA, 26-31 August 2016.This paper examines participants’ experiences of interacting with a robotic companion (agent) that has the ability to move its “mind” between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity in different embodiments. This includes examining the clarity of the migration behaviour and how this behaviour may contribute to identity retention. Nine participants took part in a long-term study, and interacted with the robotic companion in the smart house twice-weekly over a period of 5 weeks. We used Narrative-based Integrated Episodic Scenario (NIES) framework for designing long-term interaction scenarios that provided habituation and intervention phases while conveying the impression of continuous long-term interaction. The results show that NEIS allows us to explore complex intervention scenarios and obtain a sense of continuity of context across the long-term study. The results also suggest that as participants become habituated with the companion, they found the realisation of migration signaling clearer, and felt more certain of the identity of the companion in later sessions, and that the most important factor for this was the agent’s continuation of tasks across embodiments. This paper is both empirical as well as methodological in nature.Non peer reviewedFinal Accepted Versio

What has happened today? Memory visualisation of a robot companion to assist user’s memory

This is the accepted author manuscript version of the following article: "Joan Saez-Pons, Dag SverreSyrdal, and Kerstin Dautenhahn, “What has happened today? Memory visualisation of a robot companion to assist user’s memory”, Journal of Assistive Technologies, Vol. 9 (4): 207-218, 2015." The published version can be found online at: https://doi.org/10.1108/JAT-02-2015-0004 © Emerald Group Publishing Limited 2015 Published by Emerald Group Publishing LimitedPurpose – Memory deterioration is one of the most common cognitive issues associated with ageing. Not being able to remember daily routines (e.g. taking medicine) poses a serious threat to personal independence. Smart homes combined with assistive robots have been suggested as an acceptable solution to support the independent living of the older people. The purpose of this paper is to develop a memory visualisation tool in robots and smart houses following the hypothesis that the use of memory aids will have a positive effect on the cognitive capabilities of older people. Design/methodology/approach – This paper describes the iterative development process and evaluation of a novel interface to visualise the episodic memory of a socially assistive robotic system which could help to improve the memory capabilities of older users. Two experimental studies were carried out to assess usability, usefulness and envisaged use of such a system. Findings – Results show that users find a memory tool for the robot useful to help them remember daily routines and when trying to recall previous events. Usability results emphasise the need to tailor the memory tool to specific age ranges. Originality/value – The research to date provides support that for assistive robots to be a truly useful tool, they must be able to deliver episodic memory visualisation tools that enhance day-to-day living (i.e. environmental information, data on the robot’s actions and human-robot interaction episodes). Equipping a robotic companion with a novel memory visualisation tool for episodic memory is an excellent opportunity to have a robot provide such a functionality (cognitive prosthetics).Peer reviewe

Work in the European Gig Economy : Research Results from the UK, Sweden, Germany, Austria, The Netherlands, Switzerland and Italy

These data are from an innovative survey across seven European countries, revealing, for the first time, the extent and characteristics of crowd workers in Austria, Germany, Italy, the Netherlands, Sweden, Switzerland and the UK. In the associated report, the survey results are complemented by in-depth interviews with a range of crowd workers, shedding light on the realities of their working lives, including the stresses, fears and health hazards they face, as well as the satisfactions they experience. This joint research project, which is ongoing, was launched in January 2016. It is being carried out by the University of Hertfordshire in association with the Foundation for European Progressive Studies (FEPS) and UNI Europa, the European services workers union. Co-funding for national surveys was provided by the Trade Union Unionen in Sweden, the TNO Research Institute in the Netherlands, The Chamber of Labour (AK) in Austria, the Trade Unions Ver.di and IG Metall in Germany, the Trade Union syndicom in Switzerland and the Fondazione EYU in Italy. Fieldwork for the surveys in these seven countries was carried out by Ipsos MORI between January 2016 and April 2017

Assessing bias in online surveys using alternative survey modes

© 2022 Science Open. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/Due to concerns that respondents to online surveys are different from populations of interest, parallel offline surveys can be undertaken and results compared. In this article we create a set of principles to compare results from online surveys with those from surveys using other survey modes. Rather than just comparing estimates and confidence intervals from the different modes, these principles consider biases that each survey mode introduces and whether the results obtained are compatible with each other, given these different biases. Using the example of a survey of platform work, we demonstrate that this approach can be used effectively and be applied to a variety of social science studies that use online surveys.Peer reviewedFinal Published versio

Robot-Mediated Interviews with Children: What do potential users think?

This is a pre-copyedited, author-produced PDF of an article accepted for publication in Interaction Studies following peer review. Luke Jai Wood, Hagen Lehmann, Kerstin Dautenhahn, Ben Robins, Austen Rainer, and Dag Syrdal, 'Robot-mediated interviews with children: What do potential users think?', Interaction Studies, Vol. 17 (3): 438-460 (2016), DOI: 10.1075/is.17.3.07woo This article is under copyright and the publisher should be contacted for permission to re-use or reprint the material in any form. Publisher: John Benjamin Publishing CompanyTo date research investigating the potential of Robot-Mediated Interviews (RMI) has focused on establishing how children respond to robots in an interview scenario. In order to test if an RMI approach would work in a real world setting, it is important to establish what the experts (e.g. specialist child interviewers) would require from such a system. To determine the needs of such expert users we conducted three user panels with groups of potential real world users to gather their views of our current system and find out what they would require for the system to be useful to them. The user groups consisted of specialist police officers, intermediaries, educational specialists and healthcare specialists. To our knowledge this is the first article investigating user needs for Robot-Mediated Interviews. Due to the novelty of this work, the work presented in this paper is exploratory in nature. The results provide valuable insights into what real world users would need from a Robot-Mediated Interviewing system. Our findings will contribute to future research and technology development in the domain of RMI in particular, and child-robot interaction in general.Peer reviewe

Robot-Mediated interviews: A field trial with a potential real-world user

© 2020 John Benjamins Publishing Company. This a peer reviewed, author’s accepted manuscript. Contact John Benjamins Publishing Company permission to re-use or reprint the material in any form.In recent years the possibility of using humanoid robots to perform interviews with children has been explored in a number of studies. This paper details a study in which a potential real-world user trialled a Robot-Mediated Interviewing system with children to establish if this approach could realistically be used in a real-world context. In this study a senior educational psychologist used the humanoid robot Kaspar to interview ten primary school children about a video they had watched prior to the interview. We conducted a pre and post interview with the educational psychologist before and after using the system to establish how the system worked for him and the perceived potential for real-world applications. The educational psychologist successfully used the system to interview the children and believed that principally using a small humanoid robot to interview children could be useful in a real-world setting provided the system was developed further.Peer reviewe

Utilising humanoid robots to assist children with autism learn about Visual Perspective Taking

© 2017 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.In this paper we provide an overview of the study we have recently conducted investigating the possibility of using humanoid robots to teach children with Autism Spectrum Condition (ASC) about Visual Perspective Taking (VPT). VPT is the ability to see the world from another person's perspective, something that children with ASC often find difficult. Using a humanoid has a distinct advantage in this situation because the robots Field Of View (FOV) can be shown directly to the children using a screen to display what the robot can see from the camera in its eye. Our study working with 12 children in a local special needs secondary school indicates that using this approach to teach children with ASC about VPT has some potential.Peer reviewe