INF4150 - Interfaces personnes-machines

Plan de cours Automne 2023

Responsable(s) du cours

Coordination

Mercier, Julien

PK-4445

mercier.julien@uqam.ca

https://professeurs.uqam.ca/professeur/mercier.julien/

Enseignement

Mercier, Julien PK-4530 mercier.julien@uqam.ca Groupes: 020

Objectif

Permettre à l’étudiant de concevoir des interfaces personnes-machines répondant aux critères d’utilisabilité.

Modalité d’enseignement

Le cours se déroulera en présentiel.

Contenu

Semaines 1-2

Introduction, revue du plan de cours, notions de base en interaction humain-machine (IHM). Ce dernier point inclut : l’expérience-utilisateur, critères de qualité des interfaces, types d’interaction humain-machine, approches de développement d’interfaces.

Semaine 3

Cognition humaine et IHM. Principales notions : fonctions cognitives et IHM, modélisation cognitive de l’utilisateur, cognition distribuée, cognition externe.

Semaine 4

Affectivité humaine et IHM. Principales notions : émotions, interfaces expressifs, design émotionnel, technologies persuasives

Semaine 5

Collaboration, communication, communauté et IHM. Principales notions : interaction sociale chez l’humain, principes, règles et conventions de conception pour les interfaces des technologies de communication et de collaboration.

Semaines 6 et 8

Exigences de conception. Principales notions : catégories d’exigences liées au produit et aux utilisateurs, collecte de données relatives aux exigences, norme ISO 9241, sécurité, conception de l’affichage.

Semaine 7

Examen de mi-session.

Semaine 9

Design, prototypage et construction d’interfaces. Principales notions : types de prototypage, méthodes de validation des prototypes, sources de données en recherche-utilisateur.

Semaines 10-11

Styles d’interaction dans l’IHM. Principales notions : actions, objets, manipulation directe, navigation fluide, langage et commandes vocales, matériel pour l’IHM, communication et collaboration.

Semaines 12-13

Évaluation d’interfaces. Principales notions : questions propres à l’IHM, sources de données, analyses, présentation des résultats

Semaine 14

Impacts de l’IHM sur les technologies, les industries, et la société.

Semaine 15

Examen final.

Modalités d’évaluation

Description sommaire	Consignes (Sem)	Échéance (Sem)	Pondération (%)
Examen mi-session (3 heures)	5	7	25
Examen final (3 heures)	13	15	35
TP1 - L’utilisateur	4	5	15
TP2 - Exigences de conception	8	11	15
TP3 - Test d’utilisabilité	13	15	20

Les examens de mi-session et final seront exécutés en classe, en utilisant une formule visant à en assurer l’intégrité..

Les TP seront remis sur Moodle, au plus tard à minuit le lundi durant lequel ils doivent être exécutés. Les consignes pour chaque TP vous seront communiquées au début de la période de réalisation du TP. Ils seront réalisés en équipes de 2 ou 3, sans exception. Les attentes pour les TP seront décrites dans un formulaire, lequel servira aussi à rédiger le TP. La notation d’un TP sera faite suivant un barème critérié lié au contenu attendu, qui accompagnera les consignes.

Médiagraphie

Norman, D. (2013). The design of everyday things. New-York, NY: Basic books.

Autres références pertinentes

Bermudez, J.L. (2020). Cognitive science: an introduction to the science of the mind (3e édition). Cambridge, MA: Cambridge University Press.

Collins, T., Andler, D., et Tallon-Baudry, C. (2018). La cognition : du neurone à la société. Gallimard.

Sharp, H., Rogers, Y, et Preece, J. (2019). Interaction design : beyond human-computer interaction (5e édition), Indianapolis, IN: John Wiley & Sons.

Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., et Diakopoulos, N. (2016) Designing the User Interface : Strategies for Effective Human-Computer Interaction (6e Édition), Pearson.

Revue systématique de la littérature

2023 (5)

Nauta, M., Trienes, J., Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J., van Keulen, M., & Seifert, C. (2023). From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Computing Surveys. https://doi.org/10.1145/3583558

Sado, F., Loo, C. K., Liew, W. S., Kerzel, M., & Wermter, S. (2023). Explainable Goal-driven Agents and Robots - A Comprehensive Review. ACM Computing Surveys, 55(10), 1-41. https://doi.org/10.1145/3564240

Xia, Y., Khamis, M., Fernandez, F. A., Heidari, H., Butt, H., Ahmed, Z., Wilkinson, T., & Ghannam, R. (2023). State-of-the-Art in Smart Contact Lenses for Human–Machine Interaction. IEEE Transactions on Human-Machine Systems, 53(1), 187-200. https://doi.org/10.1109/THMS.2022.3224683

Zajac, H. D., Li, D., Dai, X., Carlsen, J. F., Kensing, F., & Andersen, T. O. (2023). Clinician-facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI. ACM Trans. Comput.-Hum. Interact. https://doi.org/10.1145/3582430

Zhang, B. J., & Fitter, N. T. (2023). Nonverbal Sound in Human-Robot Interaction: a Systematic Review. J. Hum.-Robot Interact. https://doi.org/10.1145/3583743

2022 (61)

Abbas, A. M. H., Ghauth, K. I., & Ting, C. Y. (2022). User Experience Design Using Machine Learning: A Systematic Review. IEEE Access, 10, 51501-51514. https://doi.org/10.1109/ACCESS.2022.3173289

Aitsam, M., Davies, S., & Nuovo, A. D. (2022). Neuromorphic Computing for Interactive Robotics: A Systematic Review. IEEE Access, 10, 122261-122279. https://doi.org/10.1109/ACCESS.2022.3219440

Alshammari, R. F. N., Arshad, H., Rahman, A. H. A., & Albahri, O. S. (2022). Robotics Utilization in Automatic Vision-Based Assessment Systems From Artificial Intelligence Perspective: A Systematic Review. IEEE Access, 10, 77537-77570. https://doi.org/10.1109/ACCESS.2022.3188264

AlSlaity, A., Suruliraj, B., Oyebode, O., Fowles, J., steeves, d., & Orji, R. (2022). Mobile Applications for Health and Wellness: A Systematic Review. Proc. ACM Hum.-Comput. Interact., 6(EICS), Article 171. https://doi.org/10.1145/3534525

Alvarado, O., Htun, N. N., Jin, Y., & Verbert, K. (2022). A Systematic Review of Interaction Design Strategies for Group Recommendation Systems. Proc. ACM Hum.-Comput. Interact., 6(CSCW2), Article 271. https://doi.org/10.1145/3555161

Araujo, H., Mousavi, M. R., & Varshosaz, M. (2022). Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review. ACM Trans. Softw. Eng. Methodol. https://doi.org/10.1145/3542945

Bentvelzen, M., Woźniak, P. W., Herbes, P. S. F., Stefanidi, E., & Niess, J. (2022). Revisiting Reflection in HCI: Four Design Resources for Technologies that Support Reflection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 6(1), Article 2. https://doi.org/10.1145/3517233

Berditchevskaia, A., Maliaraki, E., & Stathoulopoulos, K. (2022). A descriptive analysis of collective intelligence publications since 2000, and the emerging influence of artificial intelligence. Collective Intelligence, 1(1). https://doi.org/10.1177/26339137221107924

Berrezueta-Guzman, J., Robles-Bykbaev, V. E., Pau, I., Pesántez-Avilés, F., & Martín-Ruiz, M. L. (2022). Robotic Technologies in ADHD Care: Literature Review. IEEE Access, 10, 608-625. https://doi.org/10.1109/ACCESS.2021.3137082

Caglar, P. S., Roto, V., & Vainio, T. (2022). User Experience Research in the Work Context: Maps, Gaps and Agenda. Proc. ACM Hum.-Comput. Interact., 6(CSCW1), Article 132. https://doi.org/10.1145/3512979

D’Aniello, G., Gravina, R., Gaeta, M., & Fortino, G. (2022). Situation-Aware Sensor-Based Wearable Computing Systems: A Reference Architecture-Driven Review. IEEE Sensors Journal, 22(14), 13853-13863. https://doi.org/10.1109/JSEN.2022.3180902

Deja, J. A., Mayer, S., Pucihar, K. Č., & Kljun, M. (2022). A Survey of Augmented Piano Prototypes: Has Augmentation Improved Learning Experiences? Proc. ACM Hum.-Comput. Interact., 6(ISS), Article 566. https://doi.org/10.1145/3567719

Díaz, M. A., Voß, M., Dillen, A., Tassignon, B., Flynn, L., Geeroms, J., Meeusen, R., Verstraten, T., Babič, J., Beckerle, P., & Pauw, K. D. (2022). Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human–Robot Interaction: A Systematic Review. IEEE Transactions on Cybernetics, 1-14. https://doi.org/10.1109/TCYB.2022.3224895

Esterwood, C., Essenmacher, K., Yang, H., Zeng, F., & Robert, L. P. (2022). A Personable Robot: Meta-Analysis of Robot Personality and Human Acceptance. IEEE Robotics and Automation Letters, 7(3), 6918-6925. https://doi.org/10.1109/LRA.2022.3178795

Formosa, J., O’Donnell, N., Horton, E. M., Türkay, S., Mandryk, R. L., Hawks, M., & Johnson, D. (2022). Definitions of Esports: A Systematic Review and Thematic Analysis. Proc. ACM Hum.-Comput. Interact., 6(CHI PLAY), Article 227. https://doi.org/10.1145/3549490

Fu, Y., Hu, Y., & Sundstedt, V. (2022). A Systematic Literature Review of Virtual, Augmented, and Mixed Reality Game Applications in Healthcare. ACM Trans. Comput. Healthcare, 3(2), Article 22. https://doi.org/10.1145/3472303

Gayler, T., Sas, C., & Kalnikaitė, V. (2022). Exploring the Design Space for Human-Food-Technology Interaction: An Approach from the Lens of Eating Experiences. ACM Trans. Comput.-Hum. Interact., 29(2), Article 16. https://doi.org/10.1145/3484439

Gonçalves, G., Coelho, H., Monteiro, P., Melo, M., & Bessa, M. (2022). Systematic Review of Comparative Studies of the Impact of Realism in Immersive Virtual Experiences. ACM Comput. Surv., 55(6), Article 115. https://doi.org/10.1145/3533377

Gu, P., Xu, X., Qian, X., & Weng, T. H. (2022). Leveraging Extended Reality for Autistic Individuals: A Scoping Review of Technical Features and Technology Affordances. IEEE Transactions on Learning Technologies, 1-20. https://doi.org/10.1109/TLT.2022.3197430

Gunawardena, N., Ginige, J. A., & Javadi, B. (2022). Eye-tracking Technologies in Mobile Devices Using Edge Computing: A Systematic Review. ACM Comput. Surv., 55(8), Article 158. https://doi.org/10.1145/3546938

Heidari, A., Navimipour, N. J., Unal, M., & Zhang, G. (2022). Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues. ACM Comput. Surv. https://doi.org/10.1145/3571728

Hodrien, A., & Fernando, T. (2022). A review of post-study and post-task subjective questionnaires to guide assessment of system usability. J. Usability Studies, 16(3), 203–232.

Holloman, A. K., & Crawford, C. S. (2022). Defining Scents: A Systematic Literature Review of Olfactory-based Computing Systems. ACM Trans. Multimedia Comput. Commun. Appl., 18(1), Article 15. https://doi.org/10.1145/3470975

Jansen, P., Colley, M., & Rukzio, E. (2022). A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature Review. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 6(2), Article 56. https://doi.org/10.1145/3534617

Jeong, J. J., Zolotavkin, Y., & Doss, R. (2022). Examining the Current Status and Emerging Trends in Continuous Authentication Technologies through Citation Network Analysis. ACM Comput. Surv., 55(6), Article 122. https://doi.org/10.1145/3533705

Koulouri, T., Macredie, R. D., & Olakitan, D. (2022). Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability. ACM Trans. Interact. Intell. Syst., 12(2), Article 11. https://doi.org/10.1145/3485874

Kourtesis, P., Argelaguet, F., Vizcay, S., Marchal, M., & Pacchierotti, C. (2022). Electrotactile Feedback Applications for Hand and Arm Interactions: A Systematic Review, Meta-Analysis, and Future Directions. IEEE Transactions on Haptics, 15(3), 479-496. https://doi.org/10.1109/TOH.2022.3189866 Kusal, S., Patil, S., Choudrie, J., Kotecha, K., Mishra, S., & Abraham, A. (2022). AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions. IEEE Access, 10, 92337-92356. https://doi.org/10.1109/ACCESS.2022.3201144

Kusk, K., & Nouwens, M. (2022). Platform-Mediated Food Delivery Work: A Review for CSCW. Proc. ACM Hum.-Comput. Interact., 6(CSCW2), Article 532. https://doi.org/10.1145/3555645

Lee, H., Park, J., & Lee, U. (2022). A Systematic Survey on Android API Usage for Data-driven Analytics with Smartphones. ACM Computing Surveys, 55(5), 1-38. https://doi.org/10.1145/3530814

Leichtmann, B., Lottermoser, A., Berger, J., & Nitsch, V. (2022). Personal Space in Human-Robot Interaction at Work: Effect of Room Size and Working Memory Load. J. Hum.-Robot Interact., 11(4), Article 44. https://doi.org/10.1145/3536167

Li, Y., Kim, K., Erickson, A., Norouzi, N., Jules, J., Bruder, G., & Welch, G. F. (2022). A Scoping Review of Assistance and Therapy with Head-Mounted Displays for People Who Are Visually Impaired. ACM Transactions on Accessible Computing, 15(3), 1-28. https://doi.org/10.1145/3522693

Loksa, D., Margulieux, L., Becker, B. A., Craig, M., Denny, P., Pettit, R., & Prather, J. (2022). Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use. ACM Trans. Comput. Educ., 22(4), Article 39. https://doi.org/10.1145/3487050

Motger, Q., Franch, X., & Marco, J. (2022). Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges. ACM Comput. Surv., 55(5), Article 91. https://doi.org/10.1145/3527450

Mountapmbeme, A., Okafor, O., & Ludi, S. (2022). Addressing Accessibility Barriers in Programming for People with Visual Impairments: A Literature Review. ACM Trans. Access. Comput., 15(1), Article 7. https://doi.org/10.1145/3507469

Oliveira, T. R. D., Rodrigues, B. B., Silva, M. M. D., Spinassé, R. A. N., Ludke, G. G., Gaudio, M. R. S., Gomes, G. I. R., Cotini, L. G., Vargens, D. D. S., Schimidt, M. Q., Andreão, R. V., & Mestria, M. (2022). Virtual Reality Solutions Employing Artificial Intelligence Methods: A Systematic Literature Review. ACM Comput. Surv. https://doi.org/10.1145/3565020

Pillette, L., Moreau, G., Normand, J. M., Perrier, M., Lecuyer, A., & Cogne, M. (2022). A Systematic Review of Navigation Assistance Systems for People with Dementia. IEEE Transactions on Visualization and Computer Graphics, 1-1. https://doi.org/10.1109/TVCG.2022.3141383

Prietch, S., Sánchez, J. A., & Guerrero, J. (2022). A Systematic Review of User Studies as a Basis for the Design of Systems for Automatic Sign Language Processing. ACM Trans. Access. Comput., 15(4), Article 36. https://doi.org/10.1145/3563395

Prinz, L. M., Mathew, T., & Weyers, B. (2022). A Systematic Literature Review of Virtual Reality Locomotion Taxonomies. IEEE Transactions on Visualization and Computer Graphics, 1-17. https://doi.org/10.1109/TVCG.2022.3206915

Quaranta, L., Calefato, F., & Lanubile, F. (2022). Eliciting Best Practices for Collaboration with Computational Notebooks. Proc. ACM Hum.-Comput. Interact., 6(CSCW1), Article 87. https://doi.org/10.1145/3512934

Reig, S., Fong, T., Forlizzi, J., & Steinfeld, A. (2022). Theory and Design Considerations for the User Experience of Smart Environments. IEEE Transactions on Human-Machine Systems, 52(3), 522-535. https://doi.org/10.1109/THMS.2022.3142112

Rijo-García, S., Segredo, E., & León, C. (2022). Computational Thinking and User Interfaces: A Systematic Review. IEEE Transactions on Education, 65(4), 647-656. https://doi.org/10.1109/TE.2022.3159765

Röddiger, T., Clarke, C., Breitling, P., Schneegans, T., Zhao, H., Gellersen, H., & Beigl, M. (2022). Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 6(3), Article 135. https://doi.org/10.1145/3550314

Roffarello, A. M., & Russis, L. D. (2022). Achieving Digital Wellbeing Through Digital Self-Control Tools: A Systematic Review and Meta-Analysis. ACM Trans. Comput.-Hum. Interact. https://doi.org/10.1145/3571810

Saad, M., Zia, A., Raza, M., Kundi, M., & Haleem, M. (2022). A Comprehensive Analysis of Healthcare Websites Usability Features, Testing Techniques and Issues. IEEE Access, 10, 97701-97718. https://doi.org/10.1109/ACCESS.2022.3193378

Saeed, Z. R., Zainol, Z. B., Zaidan, B. B., & Alamoodi, A. H. (2022). A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022. IEEE Access, 10, 123358-123377. https://doi.org/10.1109/ACCESS.2022.3219430

Salehzadeh, R., Gong, J., & Jalili, N. (2022). Purposeful Communication in Human–Robot Collaboration: A Review of Modern Approaches in Manufacturing. IEEE Access, 10, 129344-129361. https://doi.org/10.1109/ACCESS.2022.3227049

Sallaberry, L. H., Tori, R., & Nunes, F. L. S. (2022). Automatic Performance Assessment in Three-dimensional Interactive Haptic Medical Simulators: A Systematic Review. ACM Comput. Surv., 55(7), Article 131. https://doi.org/10.1145/3539222

Sannon, S., & Forte, A. (2022). Privacy Research with Marginalized Groups: What We Know, What’s Needed, and What’s Next. Proc. ACM Hum.-Comput. Interact., 6(CSCW2), Article 455. https://doi.org/10.1145/3555556

Sardar, S. K., Kumar, N., & Lee, S. C. (2022). A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection. IEEE Access, 10, 74366-74382. https://doi.org/10.1109/ACCESS.2022.3190967

Schneiders, E., Cheon, E., Kjeldskov, J., Rehm, M., & Skov, M. B. (2022). Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference Publications. J. Hum.-Robot Interact., 11(2), Article 13. https://doi.org/10.1145/3488242

Spittle, B., Frutos-Pascual, M., Creed, C., & Williams, I. (2022). A Review of Interaction Techniques for Immersive Environments. IEEE Transactions on Visualization and Computer Graphics, 1-1. https://doi.org/10.1109/TVCG.2022.3174805

Stampf, A., Colley, M., & Rukzio, E. (2022). Towards Implicit Interaction in Highly Automated Vehicles - A Systematic Literature Review. Proc. ACM Hum.-Comput. Interact., 6(MHCI), Article 191. https://doi.org/10.1145/3546726

Thellman, S., Graaf, M. d., & Ziemke, T. (2022). Mental State Attribution to Robots: A Systematic Review of Conceptions, Methods, and Findings. J. Hum.-Robot Interact., 11(4), Article 41. https://doi.org/10.1145/3526112

Tosin, M. C., Machado, J. C., & Balbinot, A. (2022). sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges. J. Artif. Int. Res., 75, 45. https://doi.org/10.1613/jair.1.13999

Wang, K., Julier, S. J., & Cho, Y. (2022). Attention-Based Applications in Extended Reality to Support Autistic Users: A Systematic Review. IEEE Access, 10, 15574-15593. https://doi.org/10.1109/ACCESS.2022.3147726

Wit, J. d., Vogt, P., & Krahmer, E. (2022). The Design and Observed Effects of Robot-Performed Manual Gestures: A Systematic Review. J. Hum.-Robot Interact. https://doi.org/10.1145/3549530

Wolfert, P., Robinson, N., & Belpaeme, T. (2022). A Review of Evaluation Practices of Gesture Generation in Embodied Conversational Agents. IEEE Transactions on Human-Machine Systems, 52(3), 379-389. https://doi.org/10.1109/THMS.2022.3149173

Woodward, J., & Ruiz, J. (2022). Analytic Review of Using Augmented Reality for Situational Awareness. IEEE Transactions on Visualization and Computer Graphics, 1-1. https://doi.org/10.1109/TVCG.2022.3141585

Xia, H., Glueck, M., Annett, M., Wang, M., & Wigdor, D. (2022). Iteratively Designing Gesture Vocabularies: A Survey and Analysis of Best Practices in the HCI Literature. ACM Trans. Comput.-Hum. Interact., 29(4), Article 37. https://doi.org/10.1145/3503537

Zhao, G. Y., & Tu, C. Z. (2022). A literature review on user acceptance of AI-enabled application. J. Comput. Sci. Coll., 37(6), 25–35.

2021 (28)

Aeschbach, L. F., Perrig, S. A. C., Weder, L., Opwis, K., & Brühlmann, F. (2021). Transparency in Measurement Reporting: A Systematic Literature Review of CHI PLAY. Proc. ACM Hum.-Comput. Interact., 5(CHI PLAY), Article 233. https://doi.org/10.1145/3474660

Allison, K. R., Patterson, P., Guilbert, D., Noke, M., & Husson, O. (2021). Logging On, Reaching Out, and Getting By: A Review of Self-reported Psychosocial Impacts of Online Peer Support for People Impacted by Cancer. Proc. ACM Hum.-Comput. Interact., 5(CSCW1), Article 95. https://doi.org/10.1145/3449169

Amin, Z., Ali, N. M., & Smeaton, A. F. (2021). Attention-Based Design and User Decisions on Information Sharing: A Thematic Literature Review. IEEE Access, 9, 83285-83297. https://doi.org/10.1109/ACCESS.2021.3087740

Bajuri, M. Y., Benferdia, Y., & Ahmad, M. N. (2021). Critical Success Factors for Virtual Reality Applications in Orthopaedic Surgical Training: A Systematic Literature Review. IEEE Access, 9, 128574-128589. https://doi.org/10.1109/ACCESS.2021.3112345

Bandy, J. (2021). Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits. Proc. ACM Hum.-Comput. Interact., 5(CSCW1), Article 74. https://doi.org/10.1145/3449148

Bartl-Pokorny, K. D., Pykała, M., Uluer, P., Barkana, D. E., Baird, A., Kose, H., Zorcec, T., Robins, B., Schuller, B. W., & Landowska, A. (2021). Robot-Based Intervention for Children With Autism Spectrum Disorder: A Systematic Literature Review. IEEE Access, 9, 165433-165450. https://doi.org/10.1109/ACCESS.2021.3132785

Blankenship, M. M., & Bodine, C. (2021). Socially Assistive Robots for Children With Cerebral Palsy: A Meta-Analysis. IEEE Transactions on Medical Robotics and Bionics, 3(1), 21-30. https://doi.org/10.1109/TMRB.2020.3038117 Desolda, G., Ferro, L. S., Marrella, A., Catarci, T., & Costabile, M. F. (2021). Human Factors in Phishing Attacks: A Systematic Literature Review. ACM Comput. Surv., 54(8), Article 173. https://doi.org/10.1145/3469886

Diel, A., Weigelt, S., & Macdorman, K. F. (2021). A Meta-analysis of the Uncanny Valley’s Independent and Dependent Variables. ACM Transactions on Human-Robot Interaction, 11(1), 1-33. https://doi.org/10.1145/3470742

Distler, V., Fassl, M., Habib, H., Krombholz, K., Lenzini, G., Lallemand, C., Cranor, L. F., & Koenig, V. (2021). A Systematic Literature Review of Empirical Methods and Risk Representation in Usable Privacy and Security Research. ACM Trans. Comput.-Hum. Interact., 28(6), Article 43. https://doi.org/10.1145/3469845

Drey, T., Fischbach, F., Jansen, P., Frommel, J., Rietzler, M., & Rukzio, E. (2021). To Be or Not to Be Stuck, or Is It a Continuum? A Systematic Literature Review on the Concept of Being Stuck in Games. Proc. ACM Hum.-Comput. Interact., 5(CHI PLAY), Article 229. https://doi.org/10.1145/3474656

Ghafurian, M., Hoey, J., & Dautenhahn, K. (2021). Social Robots for the Care of Persons with Dementia: A Systematic Review. J. Hum.-Robot Interact., 10(4), Article 41. https://doi.org/10.1145/3469653

Kearney-Volpe, C., & Hurst, A. (2021). Accessible Web Development: Opportunities to Improve the Education and Practice of web Development with a Screen Reader. ACM Trans. Access. Comput., 14(2), Article 8. https://doi.org/10.1145/3458024

Kim, S., Razi, A., Stringhini, G., Wisniewski, P. J., & Choudhury, M. D. (2021). A Human-Centered Systematic Literature Review of Cyberbullying Detection Algorithms. Proc. ACM Hum.-Comput. Interact., 5(CSCW2), Article 325. https://doi.org/10.1145/3476066

Kroemer, O., Niekum, S., & Konidaris, G. (2021). A review of robot learning for manipulation: Challenges, Represenations, and Algorithms. Journal of Machine Learning Research, 22, 1-82.

Kuhail, M. A., Farooq, S., Hammad, R., & Bahja, M. (2021). Characterizing Visual Programming Approaches for End-User Developers: A Systematic Review. IEEE Access, 9, 14181-14202. https://doi.org/10.1109/ACCESS.2021.3051043 Lim, W. N., Yap, K. M., Lee, Y., Wee, C., & Yen, C. C. (2021). A Systematic Review of Weight Perception in Virtual Reality: Techniques, Challenges, and Road Ahead. IEEE Access, 9, 163253-163283. https://doi.org/10.1109/ACCESS.2021.3131525

Marshall, J., & Linehan, C. (2021). Are Exergames Exercise? A Scoping Review of the Short-Term Effects of Exertion Games. IEEE Transactions on Games, 13(2), 160-169. https://doi.org/10.1109/TG.2020.2995370

Monteiro, P., Gonçalves, G., Coelho, H., Melo, M., & Bessa, M. (2021). Hands-free interaction in immersive virtual reality: A systematic review. IEEE Transactions on Visualization and Computer Graphics, 27(5), 2702-2713. https://doi.org/10.1109/TVCG.2021.3067687

Navarro, D., Sundstedt, V., & Garro, V. (2021). Biofeedback Methods in Entertainment Video Games: A Review of Physiological Interaction Techniques. Proc. ACM Hum.-Comput. Interact., 5(CHI PLAY), Article 268. https://doi.org/10.1145/3474695

Nazar, M., Alam, M. M., Yafi, E., & Su’ud, M. M. (2021). A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques. IEEE Access, 9, 153316-153348. https://doi.org/10.1109/ACCESS.2021.3127881

Pfeil, K. P., Chatlani, N., LaViola, J. J., & Wisniewski, P. (2021). Bridging the Socio-Technical Gaps in Body-worn Interpersonal Live-Streaming Telepresence through a Critical Review of the Literature. Proc. ACM Hum.-Comput. Interact., 5(CSCW1), Article 120. https://doi.org/10.1145/3449194

Radu, I., Joy, T., Bowman, Y., Bott, I., & Schneider, B. (2021). A Survey of Needs and Features for Augmented Reality Collaborations in Collocated Spaces. Proc. ACM Hum.-Comput. Interact., 5(CSCW1), Article 169. https://doi.org/10.1145/3449243

Rashidan, M. A., Sidek, S. N., Yusof, H. M., Khalid, M., Dzulkarnain, A. A. A., Ghazali, A. S., Zabidi, S. A. M., & Sidique, F. A. A. (2021). Technology-Assisted Emotion Recognition for Autism Spectrum Disorder (ASD) Children: A Systematic Literature Review. IEEE Access, 9, 33638-33653. https://doi.org/10.1109/ACCESS.2021.3060753

Razi, A., Kim, S., Alsoubai, A., Stringhini, G., Solorio, T., Choudhury, M. D., & Wisniewski, P. J. (2021). A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection. Proc. ACM Hum.-Comput. Interact., 5(CSCW2), Article 465. https://doi.org/10.1145/3479609

Wallkötter, S., Tulli, S., Castellano, G., Paiva, A., & Chetouani, M. (2021). Explainable Embodied Agents Through Social Cues. ACM Transactions on Human-Robot Interaction, 10(3), 1-24. https://doi.org/10.1145/3457188

Xiong, D., Zhang, D., Zhao, X., & Zhao, Y. (2021). Deep Learning for EMG-based Human-Machine Interaction: A Review. IEEE/CAA Journal of Automatica Sinica, 8(3), 512-533. https://doi.org/10.1109/JAS.2021.1003865

Zhang-Kennedy, L., & Chiasson, S. (2021). A Systematic Review of Multimedia Tools for Cybersecurity Awareness and Education. ACM Computing Surveys, 54(1), 1-39. https://doi.org/10.1145/3427920

2020 (17)

Akpinar, E., Yeşilada, Y., & Temizer, S. (2020). The Effect of Context on Small Screen and Wearable Device Users’ Performance - A Systematic Review. ACM Comput. Surv., 53(3), Article 52. https://doi.org/10.1145/3386370

Bopp, C., & Voida, A. (2020). Voices of the Social Sector: A Systematic Review of Stakeholder Voice in HCI Research with Nonprofit Organizations. ACM Trans. Comput.-Hum. Interact., 27(2), Article 9. https://doi.org/10.1145/3368368

Brito, K. d. S., Lima, A. A. d., Ferreira, S. E., Burégio, V. d. A., Garcia, V. C., & Meira, S. R. d. L. (2020). Evolution of the Web of Social Machines: A Systematic Review and Research Challenges. IEEE Transactions on Computational Social Systems, 7(2), 373-388. https://doi.org/10.1109/TCSS.2019.2961269

Epifânio, J. C., & Silva, L. F. D. (2020). Scrutinizing Reviews on Computer Science Technologies for Autism: Issues and Challenges. IEEE Access, 8, 32802-32815. https://doi.org/10.1109/ACCESS.2020.2973097

Façanha, A. R., Darin, T., Viana, W., & Sánchez, J. (2020). O&M Indoor Virtual Environments for People Who Are Blind: A Systematic Literature Review. ACM Trans. Access. Comput., 13(2), Article 9a. https://doi.org/10.1145/3395769

Kitkowska, A., Shulman, Y., Martucci, L. A., & Wästlund, E. (2020). Psychological Effects and Their Role in Online Privacy Interactions: A Review. IEEE Access, 8, 21236-21260. https://doi.org/10.1109/ACCESS.2020.2969562

Lee-Cultura, S., & Giannakos, M. (2020). Embodied Interaction and Spatial Skills: A Systematic Review of Empirical Studies. Interacting with Computers, 32(1), 331-366. https://doi.org/10.1093/iwcomp/iwaa023

Monteiro-Guerra, F., Rivera-Romero, O., Fernandez-Luque, L., & Caulfield, B. (2020). Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics, 24(6), 1738-1751. https://doi.org/10.1109/JBHI.2019.2947243 Nurgalieva, L., O’Callaghan, D., & Doherty, G. (2020). Security and Privacy of mHealth Applications: A Scoping Review. IEEE Access, 8, 104247-104268. https://doi.org/10.1109/ACCESS.2020.2999934

Pinto-Fernandez, D., Torricelli, D., Sanchez-Villamanan, M. d. C., Aller, F., Mombaur, K., Conti, R., Vitiello, N., Moreno, J. C., & Pons, J. L. (2020). Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(7), 1573-1583. https://doi.org/10.1109/TNSRE.2020.2989481

Sebo, S., Stoll, B., Scassellati, B., & Jung, M. F. (2020). Robots in Groups and Teams: A Literature Review. Proc. ACM Hum.-Comput. Interact., 4(CSCW2), Article 176. https://doi.org/10.1145/3415247

Suran, S., Pattanaik, V., & Draheim, D. (2020). Frameworks for Collective Intelligence: A Systematic Literature Review. ACM Comput. Surv., 53(1), Article 14. https://doi.org/10.1145/3368986

Thieme, A., Belgrave, D., & Doherty, G. (2020). Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems. ACM Trans. Comput.-Hum. Interact., 27(5), Article 34. https://doi.org/10.1145/3398069

Thorpe, A., Nesbitt, K., & Eidels, A. (2020). A Systematic Review of Empirical Measures of Workload Capacity. ACM Trans. Appl. Percept., 17(3), Article 12. https://doi.org/10.1145/3422869

Vargemidis, D., Gerling, K., Spiel, K., Abeele, V. V., & Geurts, L. (2020). Wearable Physical Activity Tracking Systems for Older Adults—A Systematic Review. ACM Trans. Comput. Healthcare, 1(4), Article 25. https://doi.org/10.1145/3402523

Vogan, A. A., Alnajjar, F., Gochoo, M., & Khalid, S. (2020). Robots, AI, and Cognitive Training in an Era of Mass Age-Related Cognitive Decline: A Systematic Review. IEEE Access, 8, 18284-18304. https://doi.org/10.1109/ACCESS.2020.2966819

Weichbroth, P. (2020). Usability of Mobile Applications: A Systematic Literature Study. IEEE Access, 8, 55563-55577. https://doi.org/10.1109/ACCESS.2020.2981892

2019 (10)

Diaz, M., Ferrer, M. A., Impedovo, D., Malik, M. I., Pirlo, G., & Plamondon, R. (2019). A Perspective Analysis of Handwritten Signature Technology. ACM Comput. Surv., 51(6), Article 117. https://doi.org/10.1145/3274658

Mencarini, E., Rapp, A., Tirabeni, L., & Zancanaro, M. (2019). Designing Wearable Systems for Sports: A Review of Trends and Opportunities in Human–Computer Interaction. IEEE Transactions on Human-Machine Systems, 49(4), 314-325. https://doi.org/10.1109/THMS.2019.2919702

Mubin, O., Wadibhasme, K., Jordan, P., & Obaid, M. (2019). Reflecting on the Presence of Science Fiction Robots in Computing Literature. J. Hum.-Robot Interact., 8(1), Article 5. https://doi.org/10.1145/3303706

Nelimarkka, M. (2019). A Review of Research on Participation in Democratic Decision-Making Presented at SIGCHI Conferences. Toward an Improved Trading Zone Between Political Science and HCI. Proc. ACM Hum.-Comput. Interact., 3(CSCW), Article 139. https://doi.org/10.1145/3359241

Orejuela-Zapata, J. F., Rodríguez, S., & Ramírez, G. L. (2019). Self-Help Devices for Quadriplegic Population: A Systematic Literature Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(4), 692-701. https://doi.org/10.1109/TNSRE.2019.2901399

Schulz, T., Torresen, J., & Herstad, J. (2019). Animation Techniques in Human-Robot Interaction User Studies: A Systematic Literature Review. J. Hum.-Robot Interact., 8(2), Article 12. https://doi.org/10.1145/3317325

Simão, M., Mendes, N., Gibaru, O., & Neto, P. (2019). A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction. IEEE Access, 7, 39564-39582. https://doi.org/10.1109/ACCESS.2019.2906584

Spiel, K., Frauenberger, C., Keyes, O., & Fitzpatrick, G. (2019). Agency of Autistic Children in Technology Research—A Critical Literature Review. ACM Trans. Comput.-Hum. Interact., 26(6), Article 38. https://doi.org/10.1145/3344919

Tsao, L., Li, L., & Ma, L. (2019). Human Work and Status Evaluation Based on Wearable Sensors in Human Factors and Ergonomics: A Review. IEEE Transactions on Human-Machine Systems, 49(1), 72-84. https://doi.org/10.1109/THMS.2018.2878824

Zhao, L., Loucopoulos, P., Kavakli, E., & Letsholo, K. J. (2019). User Studies on End-User Service Composition: A Literature Review and a Design Framework. ACM Trans. Web, 13(3), Article 15. https://doi.org/10.1145/3340294

2018 (2)

Antunes, R. S., Seewald, L. A., Rodrigues, V. F., Costa, C. A. D., Jr., L. G., Righi, R. R., Maier, A., Eskofier, B., Ollenschläger, M., Naderi, F., Fahrig, R., Bauer, S., Klein, S., & Campanatti, G. (2018). A Survey of Sensors in Healthcare Workflow Monitoring. ACM Comput. Surv., 51(2), Article 42. https://doi.org/10.1145/3177852

Honig, S. S., Oron-Gilad, T., Zaichyk, H., Sarne-Fleischmann, V., Olatunji, S., & Edan, Y. (2018). Toward Socially Aware Person-Following Robots. IEEE Transactions on Cognitive and Developmental Systems, 10(4), 936-954. https://doi.org/10.1109/TCDS.2018.2825641

2017 (1)

Dillahunt, T. R., Wang, X., Wheeler, E., Cheng, H. F., Hecht, B., & Zhu, H. (2017). The Sharing Economy in Computing: A Systematic Literature Review. Proc. ACM Hum.-Comput. Interact., 1(CSCW), Article 38. https://doi.org/10.1145/3134673

2016 (1)

Ribeiro, M. L., Lederman, H. M., Elias, S., & Nunes, F. L. S. (2016). Techniques and Devices Used in Palpation Simulation with Haptic Feedback. ACM Comput. Surv., 49(3), Article 48. https://doi.org/10.1145/2962723

2015 (2)

Adamides, G., Christou, G., Katsanos, C., Xenos, M., & Hadzilacos, T. (2015). Usability Guidelines for the Design of Robot Teleoperation: A Taxonomy. IEEE Transactions on Human-Machine Systems, 45(2), 256-262. https://doi.org/10.1109/THMS.2014.2371048

Nunes, F., Verdezoto, N., Fitzpatrick, G., Kyng, M., Grönvall, E., & Storni, C. (2015). Self-Care Technologies in HCI: Trends, Tensions, and Opportunities. ACM Trans. Comput.-Hum. Interact., 22(6), Article 33. https://doi.org/10.1145/2803173

2014 (1)

Ortiz, A. M., Hussein, D., Park, S., Han, S. N., & Crespi, N. (2014). The Cluster Between Internet of Things and Social Networks: Review and Research Challenges. IEEE Internet of Things Journal, 1(3), 206-215. https://doi.org/10.1109/JIOT.2014.2318835