Towards a User-Centered Design Approach for the Development of Social Assistive Robots in Office Environments
Authors: 
Sebastian Pimminger, Werner Kurschl, Johannes Schönböck, Ralph Slabihoud, Roman Froschauer, Gerald Adam ZwettlerAuthors Info & Claims
Pages 45 - 54
Abstract
The integration of robots into our daily lives is progressing steadily. Vacuum cleaner robots, for example, will already represent a very extensive market segment in 2024. A further step in the near future will involve the use of humanoid robots, for example, in the office, in restaurant or café service, and in elderly care.
In this paper, we present a comprehensive user-centered design approach for the development of social robots in the office environment. User needs, technical requirements, specific user interactions, as well as environmental and human factors are considered in an appropriate way without raising exaggerated expectations or disregarding possible fears. We present an in-depth methodical description of the design process, its practical application, and initial findings for two specific scenarios. Additionally, we identified key challenges that are highly relevant for practical use in the office environment.
References
[1]
B. Ajay Abishek, T. Kavyashree, R. Jayalakshmi, S. Tharunkumar, and R Raffik. 2023. Collaborative Robots and Cyber Security in Industry 5.0. In 2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, Coimbatore, India, 1–6. https://doi.org/10.1109/ICAECA56562.2023.10200319
[2]
Chadia Abras, Diane Maloney-Krichmar, Jenny Preece, 2004. User-centered design. Bainbridge, W. Encyclopedia of Human-Computer Interaction. Thousand Oaks: Sage Publications 37, 4 (2004), 445–456.
[3]
Ho Seok Ahn, Wesley Yep, Jongyoon Lim, Byeong Kyu Ahn, Deborah L. Johanson, Eui Jun Hwang, Min Ho Lee, Elizabeth Broadbent, and Bruce A. MacDonald. 2019. Hospital Receptionist Robot v2: Design for Enhancing Verbal Interaction with Social Skills. In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, New York, NY, USA, 1–6. https://doi.org/10.1109/RO-MAN46459.2019.8956300
[4]
P. Akella, Michael Peshkin, Ed Colgate, Witaya Wannasuphoprasit, Nagesh.N, Jim Wells, Steve Holland, Tom Pearson, and Brian Peacock. 1999. Cobots for the automobile assembly line. In Proceedings - IEEE International Conference on Robotics and Automation, Vol. 1. IEEE, Detroit, Michigan, USA, 728–733 vol.1. https://doi.org/10.1109/ROBOT.1999.770061
[5]
Patrícia Alves-Oliveira, Patrícia Arriaga, Ana Paiva, and Guy Hoffman. 2021. Children as Robot Designers. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI ’21). Association for Computing Machinery, New York, NY, USA, 399–408. https://doi.org/10.1145/3434073.3444650
[6]
Bela H. Banathy. 1996. Designing Social Systems in a Changing World. Springer, New York, NY, USA. https://doi.org/10.1007/978-1-4757-9981-1
[7]
Daniel Belanche, Luis V. Casaló, Carlos Flavián, and Jeroen Schepers. 2020. Service robot implementation: a theoretical framework and research agenda. The Service Industries Journal 40, 3-4 (2020), 203–225. https://doi.org/10.1080/02642069.2019.1672666
[8]
Annette Bernhardt, Lisa Kresge, and Reem Suleiman. 2023. The Data-Driven Workplace and the Case for Worker Technology Rights. ILR Review 76, 1 (2023), 3–29. https://doi.org/10.1177/00197939221131558
[9]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77–101. https://doi.org/10.1191/1478088706qp063oa
[10]
Virginia Braun and Victoria Clarke. 2012. Thematic analysis. American Psychological Association, Washington, DC, US, 57–71. https://doi.org/10.1037/13620-004
[11]
Javier Castillo, Jesus Ortiz, María Velásquez, and Diego Saavedra. 2021. COBOTS in Industry 4.0: Safe and Efficient Interaction. IntechOpen, Rijeka, Chapter 1, 1–14. https://doi.org/10.5772/intechopen.99540
[12]
Arthur Cropley. 2006. In Praise of Convergent Thinking. Creativity Research Journal 18, 3 (2006), 391–404. https://doi.org/10.1207/s15326934crj1803_13
[13]
Aduén Darriba Frederiks, Johanna Renny Octavia, Cesar Vandevelde, and Jelle Saldien. 2019. Towards Participatory Design of Social Robots. In Human-Computer Interaction – INTERACT 2019, David Lamas, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, and Panayiotis Zaphiris (Eds.). Springer International Publishing, Cham, 527–535.
[14]
Joseph DelPreto and Daniela Rus. 2019. Sharing the Load: Human-Robot Team Lifting Using Muscle Activity. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, Montreal, Canada, 7906–7912. https://doi.org/10.1109/ICRA.2019.8794414
[15]
European Parliament and Council of the European Union. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council. https://data.europa.eu/eli/reg/2016/679/oj
[16]
Thomas Franke, Christiane Attig, and Daniel Wessel. 2019. A Personal Resource for Technology Interaction: Development and Validation of the Affinity for Technology Interaction (ATI) Scale. International Journal of Human–Computer Interaction 35, 6 (2019), 456–467. https://doi.org/10.1080/10447318.2018.1456150
[17]
Miriam Funk, Patricia Helen Rosen, and Sascha Wischniewski. 2020. Human-centered HRI Design–the More Individual the Better?. In Proceedings of the Workshop on behavioral patterns and interaction modelling for personalized Human-Robot Interaction 2020. Fraunhofer IAO, Cambridge, United Kingdom, 8–11.
[18]
Arkadiusz Gardecki, Michal Podpora, Ryszard Beniak, and Bartlomiej Klin. 2018. The Pepper Humanoid Robot in Front Desk Application. In 2018 Progress in Applied Electrical Engineering (PAEE). IEEE, New York, NY, USA, 1–7. https://doi.org/10.1109/PAEE.2018.8441069
[19]
Jeff Gothelf. 2013. Lean UX: Applying lean principles to improve user experience. O’Reilly Media, Inc., USA.
[20]
Wonda Grobbelaar, Amit Verma, and Vinod Shukla. 2021. Analyzing Human Robotic Interaction in the Food Industry. Journal of Physics: Conference Series 1714 (01 2021), 012032. https://doi.org/10.1088/1742-6596/1714/1/012032
[21]
Dorota Habrat. 2020. Legal challenges of digitalization and automation in the context of Industry 4.0. Procedia Manufacturing 51 (01 2020), 938–942. https://doi.org/10.1016/j.promfg.2020.10.132
[22]
Rex Hartson and Pardha Pyla. 2019. Chapter 7 - Usage Research Data Elicitation. In The UX Book (Second Edition), Rex Hartson and Pardha Pyla (Eds.). Morgan Kaufmann, Boston, 117–142. https://doi.org/10.1016/B978-0-12-805342-3.00007-2
[23]
Rex Hartson and Pardha Pyla. 2019. Chapter 9 - Usage Research Data Modeling. In The UX Book (Second Edition), Rex Hartson and Pardha Pyla (Eds.). Morgan Kaufmann, Boston, 177–225. https://doi.org/10.1016/B978-0-12-805342-3.00009-6
[24]
Karen Holtzblatt and Hugh Beyer. 2014. Contextual design: evolved. Morgan & Claypool Publishers, Kentfield, CA, USA.
[25]
H. Huttenrauch, A. Green, M. Norman, L. Oestreicher, and K.S. Eklundh. 2004. Involving users in the design of a mobile office robot. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 34, 2 (2004), 113–124. https://doi.org/10.1109/TSMCC.2004.826281
[26]
Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, and Witold Pedrycz. 2024. A comprehensive survey on applications of transformers for deep learning tasks. Expert Systems with Applications 241 (2024), 122666. https://doi.org/10.1016/j.eswa.2023.122666
[27]
Malte Jung and Pamela Hinds. 2018. Robots in the Wild: A Time for More Robust Theories of Human-Robot Interaction. J. Hum.-Robot Interact. 7, 1, Article 2 (may 2018), 5 pages. https://doi.org/10.1145/3208975
[28]
Jens Lange, Marc W. Heerdink, and Gerben A. van Kleef. 2022. Reading emotions, reading people: Emotion perception and inferences drawn from perceived emotions. Current Opinion in Psychology 43 (2022), 85–90. https://doi.org/10.1016/j.copsyc.2021.06.008
[29]
Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser. 2017. Chapter 9 - Ethnography. In Research Methods in Human Computer Interaction (Second Edition) (second edition ed.), Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser (Eds.). Morgan Kaufmann, Boston, 229–261. https://doi.org/10.1016/B978-0-12-805390-4.00009-1
[30]
In Lee. 2021. Service Robots: A Systematic Literature Review. Electronics 10, 21 (2021), 1–29. https://doi.org/10.3390/electronics10212658
[31]
Donna Lichaw. 2016. The user’s journey: storymapping products that people love. Rosenfeld Media, New York, USA.
[32]
Andréa Macario Barros, Maugan Michel, Yoann Moline, Gwenolé Corre, and Frédérick Carrel. 2022. A Comprehensive Survey of Visual SLAM Algorithms. Robotics 11, 1 (2022), 1–27. https://doi.org/10.3390/robotics11010024
[33]
Carl Macrae. 2021. Learning from the Failure of Autonomous and Intelligent Systems: Accidents, Safety and Sociotechnical Sources of Risk. SSRN Electronic Journal 42 (01 2021), 1999–2025. Issue 9. https://doi.org/10.2139/ssrn.3832621
[34]
Fraser McLeay, Victoria Sophie Osburg, Vignesh Yoganathan, and Anthony Patterson. 2021. Replaced by a Robot: Service Implications in the Age of the Machine. Journal of Service Research 24, 1 (2021), 104–121. https://doi.org/10.1177/1094670520933354
[35]
Jae-Kyung Min, Kuk-Hyun Ahn, Hui-Chang Park, and Jae-Bok Song. 2019. A novel reactive-type joint torque sensor with high torsional stiffness for robot applications. Mechatronics 63 (2019), 102265. https://doi.org/10.1016/j.mechatronics.2019.102265
[36]
Noriaki Mitsunaga, Takahiro Miyashita, Hiroshi Ishiguro, Kiyoshi Kogure, and Norihiro Hagita. 2006. Robovie-IV: A Communication Robot Interacting with People Daily in an Office. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, New York, NY, USA, 5066–5072. https://doi.org/10.1109/IROS.2006.282594
[37]
Abdullah Mohammed, Bernard Schmidt, and Lihui Wang. 2017. Active collision avoidance for human–robot collaboration driven by vision sensors. International Journal of Computer Integrated Manufacturing 30, 9 (2017), 970–980. https://doi.org/10.1080/0951192X.2016.1268269
[38]
Masahiro Mori, Karl F. MacDorman, and Norri Kageki. 2012. The Uncanny Valley [From the Field]. IEEE Robotics & Automation Magazine 19, 2 (2012), 98–100. https://doi.org/10.1109/MRA.2012.2192811
[39]
Kristine L. Nowak and Frank Biocca. 2003. The Effect of the Agency and Anthropomorphism on Users’ Sense of Telepresence, Copresence, and Social Presence in Virtual Environments. Presence: Teleoperators and Virtual Environments 12, 5 (10 2003), 481–494. https://doi.org/10.1162/105474603322761289
[40]
Hirotaka Osawa, Arisa Ema, Hiromitsu Hattori, Naonori Akiya, Nobutsugu Kanzaki, Akinori Kubo, Tora Koyama, and Ryutaro Ichise. 2017. What is Real Risk and Benefit on Work with Robots? From the Analysis of a Robot Hotel. In Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (Vienna, Austria) (HRI ’17). Association for Computing Machinery, New York, NY, USA, 241–242. https://doi.org/10.1145/3029798.3038312
[41]
Anastasia K. Ostrowski, Cynthia Breazeal, and Hae Won Park. 2021. Long-Term Co-Design Guidelines: Empowering Older Adults as Co-Designers of Social Robots. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). IEEE, Cambridge, MA, USA, 1165–1172. https://doi.org/10.1109/RO-MAN50785.2021.9515559
[42]
European Parliament, Directorate-General for Parliamentary Research Services, T Madiega, and H Mildebrath. 2021. Regulating facial recognition in the EU – In-depth analysis. European Parliament, Luxembourg. https://doi.org/10.2861/140928
[43]
Swapnil Patil, V Vasu, and KVS Srinadh. 2023. Advances and perspectives in collaborative robotics: a review of key technologies and emerging trends. Discover Mechanical Engineering 2, 1 (2023), 13.
[44]
Michael Peshkin and J Edward Colgate. 1999. Cobots. Industrial Robot: An International Journal 26, 5 (1999), 335–341.
[45]
Kathrin Pollmann and Daniel Ziegler. 2020. Social Human-Robot Interaction is Personalized Interaction. In Workshop on Behavioral Patterns and Interaction Modelling for Personalized Human-Robot Interaction 2020. Fraunhofer IAO, Stuttgart, Germany. https://doi.org/10.24406/publica-fhg-409275
[46]
Partha Pratim Ray. 2023. ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems 3 (2023), 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003
[47]
Róbert Adrian Rill and Kinga Faragó. 2021. Collision Avoidance Using Deep Learning-Based Monocular Vision. SN Computer Science 2 (09 2021). https://doi.org/10.1007/s42979-021-00759-6
[48]
Matthew Rueben, William D. Smart, Cindy M. Grimm, and Maya Cakmak. 2017. Privacy-Sensitive Robotics. In Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (Vienna, Austria) (HRI ’17). Association for Computing Machinery, New York, NY, USA, 425–426. https://doi.org/10.1145/3029798.3029805
[49]
Mohammad Safeea and Pedro Neto. 2022. Precise positioning of collaborative robotic manipulators using hand-guiding. The International Journal of Advanced Manufacturing Technology 120 (06 2022). https://doi.org/10.1007/s00170-022-09107-1
[50]
Fereshteh Sattari, Renato Macciotta, Daniel Kurian, and Lianne Lefsrud. 2021. Application of Bayesian network and artificial intelligence to reduce accident/incident rates in oil & gas companies. Safety Science 133 (2021), 104981. https://doi.org/10.1016/j.ssci.2020.104981
[51]
Clay Spinuzzi. 2005. The methodology of participatory design. Technical communication 52, 2 (2005), 163–174.
[52]
Brian Still and Kate Crane. 2017. Fundamentals of user-centered design: A practical approach. CRC press, Boca Raton, FL, USA.
[53]
Megan K. Strait, Cynthia Aguillon, Virginia Contreras, and Noemi Garcia. 2017. The public’s perception of humanlike robots: Online social commentary reflects an appearance-based uncanny valley, a general fear of a “Technology Takeover”, and the unabashed sexualization of female-gendered robots. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, New York, NY, USA, 1418–1423. https://doi.org/10.1109/ROMAN.2017.8172490
[54]
Craig J. Sutherland, Byeong Kyu Ahn, Bianca Brown, Jongyoon Lim, Deborah L. Johanson, Elizabeth Broadbent, Bruce A. MacDonald, and Ho Seok Ahn. 2019. The Doctor will See You Now: Could a Robot Be a medical Receptionist?. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, New York, NY, USA, 4310–4316. https://doi.org/10.1109/ICRA.2019.8794439
[55]
Claudio Taesi, Francesco Aggogeri, and Nicola Pellegrini. 2023. COBOT Applications - Recent Advances and Challenges. Robotics 12, 3 (2023), 1–33. https://www.mdpi.com/2218-6581/12/3/79
[56]
Maryam Tohidi, William Buxton, Ronald Baecker, and Abigail Sellen. 2006. Getting the right design and the design right. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Montréal, Québec, Canada) (CHI ’06). Association for Computing Machinery, New York, NY, USA, 1243–1252. https://doi.org/10.1145/1124772.1124960
[57]
Meg Tonkin, Jonathan Vitale, Sarita Herse, Mary-Anne Williams, William Judge, and Xun Wang. 2018. Design Methodology for the UX of HRI: A Field Study of a Commercial Social Robot at an Airport. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (Chicago, IL, USA) (HRI ’18). Association for Computing Machinery, New York, NY, USA, 407–415. https://doi.org/10.1145/3171221.3171270
[58]
Asma Trabelsi, Sébastien Warichet, Yassine Aajaoun, and Séverine Soussilane. 2022. Evaluation of the efficiency of state-of-the-art Speech Recognition engines. Procedia Computer Science 207 (2022), 2242–2252. https://doi.org/10.1016/j.procs.2022.09.534 Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022.
[59]
Iis P. Tussyadiah and Sangwon Park. 2018. Consumer Evaluation of Hotel Service Robots. In Information and Communication Technologies in Tourism 2018, Brigitte Stangl and Juho Pesonen (Eds.). Springer International Publishing, Cham, 308–320.
[60]
Jonathan Vitale, Meg Tonkin, Sarita Herse, Suman Ojha, Jesse Clark, Mary-Anne Williams, Xun Wang, and William Judge. 2018. Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (Chicago, IL, USA) (HRI ’18). Association for Computing Machinery, New York, NY, USA, 379–387. https://doi.org/10.1145/3171221.3171269
[61]
Xiaohui Wang, Zhenglan Zhang, Dan Huang, and Zhiyong Li. 2023. Consumer resistance to service robots at the hotel front desk: A mixed-methods research. Tourism Management Perspectives 46 (2023), 101074. https://doi.org/10.1016/j.tmp.2023.101074
[62]
Alexandra Weidemann and Nele Russwinkel. 2021. The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?Frontiers in Psychology 12 (2021), 1–17. https://api.semanticscholar.org/CorpusID:232291363
[63]
Jochen Wirtz, Paul G. Patterson, Werner H. Kunz, Thorsten Gruber, Vinh Nhat Lu, Stefanie Paluch, and Antje Martins. 2018. Brave new world: service robots in the frontline. Journal of Service Management 29, 5 (Jan. 2018), 907–931.
[64]
Chung-En Yu. 2020. Humanlike robots as employees in the hotel industry: Thematic content analysis of online reviews. Journal of Hospitality Marketing & Management 29, 1 (2020), 22–38. https://doi.org/10.1080/19368623.2019.1592733
[65]
Angeliki Zacharaki, Ioannis Kostavelis, Antonios Gasteratos, and Ioannis Dokas. 2020. Safety bounds in human robot interaction: A survey. Safety Science 127 (2020), 104667. https://doi.org/10.1016/j.ssci.2020.104667
[66]
J.D. Zamfirescu-Pereira, David Sirkin, David Goedicke, Ray LC, Natalie Friedman, Ilan Mandel, Nikolas Martelaro, and Wendy Ju. 2021. Fake It to Make It: Exploratory Prototyping in HRI. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI ’21 Companion). Association for Computing Machinery, New York, NY, USA, 19–28. https://doi.org/10.1145/3434074.3446909
[67]
Vivienne Jia Zhong and Theresa Schmiedel. 2021. A User-Centered Agile Approach to the Development of a Real-World Social Robot Application for Reception Areas. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI ’21 Companion). Association for Computing Machinery, New York, NY, USA, 76–80. https://doi.org/10.1145/3434074.3447132
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June 2024
708 pages
ISBN:9798400717604
DOI:10.1145/3652037
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PETRA '24: The PErvasive Technologies Related to Assistive Environments Conference
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