SynthesisSensors (Basel, Switzerland)2021
User Experience in Social Robots.
Synthesis in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception.International journal of environmental research and public health · 2021Trial
- A GPT-reinforced social robot for patient communication: a pilot study.Frontiers in digital health · 2025Article
- Evaluating the User Experience and Usability of the MINI Robot for Elderly Adults with Mild Dementia and Mild Cognitive Impairment: Insights and Recommendations.Sensors (Basel, Switzerland) · 2024Article
- Determinants of Attitude to a Humanoid Social Robot in Care for Older Adults: A Post-Interaction Study.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- User Experience Design for Social Robots: A Case Study in Integrating Embodiment.Sensors (Basel, Switzerland) · 2023Article
- Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2023Article
- Investigating the Overall Experience of Wearable Robots during Prototype-Stage Testing.Sensors (Basel, Switzerland) · 2022Article
- Does the Personality of Consumers Influence the Assessment of the Experience of Interaction with Social Robots?International journal of social robotics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional environments is not trivial. For users to accept social robots, a positive user experience is vital, and it should be considered as a critical part of the robots' development process. This may potentially lead to excessive use of social robots and strengthen their diffusion in society. The goal of this study is to summarize the extant literature that is focused on user experience in social robots, and to identify the challenges and benefits of UX evaluation in social robots. To achieve this goal, the authors carried out a systematic literature review that relies on PRISMA guidelines. Our findings revealed that the most common methods to evaluate UX in social robots are questionnaires and interviews. UX evaluations were found out to be beneficial in providing early feedback and consequently in handling errors at an early stage. However, despite the importance of UX in social robots, robot developers often neglect to set UX goals due to lack of knowledge or lack of time. This study emphasizes the need for robot developers to acquire the required theoretical and practical knowledge on how to perform a successful UX evaluation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.