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.

When studying the use of assistive robots in home environments, and especially how such robots can be personalised to meet the needs of the resident, key concerns are issues related to behaviour verification, behaviour interference and safety. Here, personalisation refers to the teaching of new robot behaviours by both technical and non-technical end users. In this article, we consider the issue of behaviour interference caused by situations where newly taught robot behaviours may affect or be affected by existing behaviours and thus, those behaviours will not or might not ever be executed. We focus in particular on how such situations can be detected and presented to the user. We describe the human–robot behaviour teaching system that we developed as well as the formal behaviour checking methods used. The online use of behaviour checking is demonstrated, based on static analysis of behaviours during the operation of the robot, and evaluated in a user study. We conducted a proof-of-concept human–robot interaction study with an autonomous, multi-purpose robot operating within a smart home environment. Twenty participants individually taught the robot behaviours according to instructions they were given, some of which caused interference with other behaviours. A mechanism for detecting behaviour interference provided feedback to participants and suggestions on how to resolve those conflicts. We assessed the participants’ views on detected interference as reported by the behaviour teaching system. Results indicate that interference warnings given to participants during teaching provoked an understanding of the issue. We did not find a significant influence of participants’ technical background. These results highlight a promising path towards verification and validation of assistive home companion robots that allow end-user personalisation.

In this work, we tested a recently developed novel methodology to assist children with Autism Spectrum Disorder (ASD) improve their Visual Perspective Taking (VPT) and Theory of Mind (ToM) skills using the humanoid robot Kaspar. VPT is the ability to see the world from another person’s perspective, drawing upon both social and spatial information. Children with ASD often find it difficult to understand that others might have perspectives, viewpoints and beliefs that are different from their own, which is a fundamental aspect of both VPT and ToM. The games we designed were implemented as the first attempt to study if these skills can be improved in children with ASD through interacting with a humanoid robot in a series of trials. The games involved a number of different actions with the common goal of helping the children to see the world from the robot’s perspective. Children with ASD were recruited to the study according to specific inclusion criteria that were determined in a previous pilot study. In order to measure the potential impact of the games on the children, three pre- and post-tests (Smarties, Sally–Anne and Charlie tests) were conducted with the children. Our findings suggest that children with ASD can indeed benefit from this approach of robot-assisted therapy.

AbstractThis article describes a long-term study evaluating the use of the humanoid robot Kaspar in a specialist nursery for children with autism. The robot was used as a tool in the hands of teachers or volunteers, in the absence of the research team on-site. On average each child spent 16.53 months in the study. Staff and volunteers at the nursery were trained in using Kaspar and were using it in their day-to-day activities in the nursery. Our study combines an “in the wild” approach with a rigorous approach of collecting and including users’ feedback during an iterative evaluation and design cycle of the robot. This article focuses on the design of the study and the results from several interviews with the robot’s users. We also show results from the children’s developmental assessments by the teachers prior to and after the study. Results suggest a marked beneficial effect for the children from interacting with Kaspar. We highlight the challenges of transferring experimental technologies like Kaspar from a research setting into everyday practice in general and making it part of the day-to-day running of a nursery school in particular. Feedback from users led subsequently to many changes being made to Kaspar’s hardware and software. This type of invaluable feedback can only be gained in such long-term field studies.

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.

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.

This article questions whether the dominant policy discourse, in which a normative model of standard employment is counterposed to non-standard' or atypical' employment, enables us to capture the diversity of fluid labour markets in which work is dynamically reshaped in an interaction between different kinds of employment status and work organisation. Drawing on surveys in the UK, Germany, Sweden and the Netherlands that investigate work managed via online platforms (crowdwork') and associated practices, it demonstrates that crowdwork represents part of a continuum. Not only do most crowd workers combine work for online platforms with other forms of work or income generation, but also many of the ICT-related practices associated with crowdwork are widespread across the rest of the labour market where a growing number of workers are logged'. Future research should not just focus on crowdworkers as a special case but on new patterns of work organisation in the regular workforce.

© 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.

Visual Perspective Taking (VPT) is the ability to see the world from another person’s perspective, taking into account what they see and how they see it, drawing upon both spatial and social information. Children with autism often find it difficult to understand that other people might have perspectives, viewpoints, beliefs and knowledge that are different from their own which is a fundamental aspect VPT. In this paper, we present the piloting of scenarios for our first large scale pilot-study using a humanoid robot to assist children with autism develop their VPT skills. The games were implemented with the Kaspar robot and to our knowledge this is the first attempt to improve the VPT skills of children with autism through playing and interacting with a humanoid robot.

Home Companion Robots need to be able to support users in their daily living activities and to be socially adaptive. They should take account of users' individual preferences, environments and social situations in order to behave in a socially acceptable manner and to gain acceptance into the household. They will need to be context-aware, taking account of any relevant contextual information and improve on delivering services by adapting to users' requirements. We present the design, implementation and technical evaluation of a Context-aware Proxemics Planner which aims to improve a robots' social behaviour by adapting its distances and orientation to the user in terms of interpersonal space, based on contextual information regarding the task, user and the robot.

Luke Wood, Hagen Lehmann, Kerstin Dautenhahn, Ben Robins, Austen Rayner, and Dag Syrdal, ‘Robot-Mediated Interviews with Children: What do potential users think?’, paper presented at the 50th Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, 1 April 2014 – 4 April 2014, London, UK.

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.

Care issues and costs associated with an increasing elderly population are becoming a major concern for many countries. The use of assistive robots in “smart-home” environments has been suggested as a possible partial solution to these concerns. A challenge is the personalization of the robot to meet the changing needs of the elderly person over time. One approach is to allow the elderly person, or their carers or relatives, to make the robot learn activities in the smart home and teach it to carry out behaviors in response to these activities. The overriding premise being that such teaching is both intuitive and “nontechnical.” To evaluate these issues, a commercially available autonomous robot has been deployed in a fully sensorized but otherwise ordinary suburban house. We describe the design approach to the teaching, learning, robot, and smart home systems as an integrated unit and present results from an evaluation of the teaching component with 20 participants and a preliminary evaluation of the learning component with three participants in a human-robot interaction experiment. Participants reported findings using a system usability scale and ad-hoc Likert questionnaires. Results indicated that participants thought that this approach to robot personalization was easy to use, useful, and that they would be capable of using it in real-life situations both for themselves and for others.

To validate a questionnaire for measuring people’s acceptance of humanoid robots in cross-cultural research (the Frankenstein Syndrome Questionnaire: FSQ), an online survey was conducted in both the UK and Japan including items on perceptions of the relation to the family and commitment to religions, and negative attitudes toward robots (the NARS). The results suggested that 1) the correlations between the FSQ subscale scores and NARS were sufficient, 2) the UK people felt more negative toward humanoid robots than did the Japanese people, 3) young UK people had more expectation for humanoid robots, 4) relationships between social acceptance of humanoid robots and negative attitudes toward robots in general were different between the nations and generations, and 5) there were no correlations between the FSQ subscale scores, and perception of the relation to the family and commitment to religions.

In order to investigate how the use of robots may impact everyday tasks, twelve participants in our study interacted with a University of Hertfordshire Sunflower robot over a period of 8 weeks in the university's Robot House. Participants performed two constrained tasks, one physical and one cognitive, four times over this period. Participant responses were recorded using a variety of measures including the System Usability Scale and the NASA Task Load Index. The use of the robot had an impact on the experienced workload of the participants differently for the two tasks, and this effect changed over time. In the physical task, there was evidence of adaptation to the robot's behavior. For the cognitive task, the use of the robot was experienced as more frustrating in the later weeks.

Purpose – 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).

A growing number of research efforts worldwide aim at developing assistive robots to help elderly people in their own homes or in care homes. The rationale for home assistance robotic technology is based on demographic changes in many countries worldwide, with an ageing population. For example, it is predicted that in the European Union the number of people over 65 years will almost double (by 2060) and the number of people between 15-64 years will decrease by over 10%. Health care costs are also rising [33]. Developments into home companions and solutions for Ambient Assisted Living (AAL) in elderly peoples homes or care homes have grown significantly in the EU, see projects such as SRS[12] , Hermes[5] , Florence [4] , KSERA[7] , MOBISERV [9] , Rubicon [11], ACCOMPANY [1] or ROBOT-ERA[10] , to name a few. Recent videos of results on smart home companion robots and the type of assistance they can provide have been illustrated for MOBISERV[29] and ACCOMPANY[15] . Products for robots used in peoples homes are beginning to be marketed, cf. Toyota’s Human Support Robot (HSR)[13], Mitsubishi’s communication robot Wakamaru[14] , Aldebaran’s Pepper robot [2], or Cynthia Breazeal’s Jibo robot[6]. These robots come in different shapes and sizes, and appearance and behaviour will influence which roles these robots are being assigned to by their users and the human-robot relationships that may emerge. One of the authors has been involved in European projects on home assistance robots since 2004, as part of the COGNIRON [3] , LIREC [8] and ACCOMPANY [1] projects. COGNIRON was one of the first projects in Europe on home companion robots. One lesson learnt during the project was the need to move out of the laboratory and into a realistic home setting, which led to the acquisition and development of the University of Hertfordshire Robot House, a smart home equipped with a sensor network and robots being able to detect daily living activities and provide physical, social and cognitive assistance. A second lesson was the need to move away from Wizard-of-Oz (remote controlled) studies. In LIREC the emphasis was on developing fully autonomous home assistant robots, with an emphasis on social assistance. During ACCOMPANY, this direction has been elaborated and extended through allowing the robot to be taught and shown new behaviours and routines by the user, including evaluations with elderly users and their formal and informal carers in long-term studies in three European countries. The ACCOMPANY project has particularly advanced a direction where such au-