{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T04:26:09Z","timestamp":1743481569365},"reference-count":102,"publisher":"Emerald","issue":"11","license":[{"start":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T00:00:00Z","timestamp":1670544000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IMDS"],"published-print":{"date-parts":[[2023,12,1]]},"abstract":"Purpose<\/jats:title>Artificial intelligence (AI) has gained significant momentum in recent years. Among AI-infused systems, one prominent application is context-aware systems. Although the fusion of AI and context awareness has given birth to personalized and timely AI-powered context-aware systems, several challenges still remain. Given the \u201cblack box\u201d nature of AI, the authors propose that human\u2013AI collaboration is essential for AI-powered context-aware services to eliminate uncertainty and evolve. To this end, this study aims to advance a research agenda for facilitators and outcomes of human\u2013AI collaboration in AI-powered context-aware services.<\/jats:p><\/jats:sec>Design\/methodology\/approach<\/jats:title>Synthesizing the extant literature on AI and context awareness, the authors advance a theoretical framework that not only differentiates among the three phases of AI-powered context-aware services (i.e. context acquisition, context interpretation and context application) but also outlines plausible research directions for each stage.<\/jats:p><\/jats:sec>Findings<\/jats:title>The authors delve into the role of human\u2013AI collaboration and derive future research questions from two directions, namely, the effects of AI-powered context-aware services design on human\u2013AI collaboration and the impact of human\u2013AI collaboration.<\/jats:p><\/jats:sec>Originality\/value<\/jats:title>This study contributes to the extant literature by identifying knowledge gaps in human\u2013AI collaboration for AI-powered context-aware services and putting forth research directions accordingly. In turn, their proposed framework yields actionable guidance for AI-powered context-aware service designers and practitioners.<\/jats:p><\/jats:sec>","DOI":"10.1108\/imds-03-2022-0152","type":"journal-article","created":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:54:05Z","timestamp":1670460845000},"page":"2771-2802","source":"Crossref","is-referenced-by-count":19,"title":["Beyond AI-powered context-aware\u00a0services: the role of\u00a0human\u2013AI collaboration"],"prefix":"10.1108","volume":"123","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-5730-3465","authenticated-orcid":false,"given":"Na","family":"Jiang","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4988-7469","authenticated-orcid":false,"given":"Xiaohui","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3854-7821","authenticated-orcid":false,"given":"Hefu","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3317-8406","authenticated-orcid":false,"given":"Eric Tze Kuan","family":"Lim","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4245-541X","authenticated-orcid":false,"given":"Chee-Wee","family":"Tan","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9494-2474","authenticated-orcid":false,"given":"Jibao","family":"Gu","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"key":"key2023113014264360600_ref001","doi-asserted-by":"crossref","first-page":"52138","DOI":"10.1109\/ACCESS.2018.2870052","article-title":"Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)","volume":"6","year":"2018","journal-title":"IEEE Access"},{"issue":"10","key":"key2023113014264360600_ref002","doi-asserted-by":"crossref","first-page":"4105","DOI":"10.3390\/su12104105","article-title":"A survey of context-aware messaging-addressing for sustainable internet of things (IoT)","volume":"12","year":"2020","journal-title":"Sustainability"},{"key":"key2023113014264360600_ref003","first-page":"1","article-title":"Guidelines for human-AI interaction","volume-title":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery","year":"2019"},{"key":"key2023113014264360600_ref004","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.pmcj.2016.08.008","article-title":"UTravel: smart mobility with a novel user profiling and recommendation approach","volume":"38","year":"2017","journal-title":"Pervasive and Mobile Computing"},{"key":"key2023113014264360600_ref005","first-page":"1","article-title":"The role of shared mental models in human-AI teams: a theoretical review","year":"2022","journal-title":"Theoretical Issues in Ergonomics Science"},{"key":"key2023113014264360600_ref006","doi-asserted-by":"crossref","unstructured":"Ars\u00e9nio, A., Serra, H., Francisco, R., Nabais, F., Andrade, J. and Serrano, E. (2014), \u201cInternet of intelligent things: bringing artificial intelligence into things and communication networks\u201d, in\u00a0Xhafa, F. and Bessis, N. (Eds), Inter-Cooperative Collective Intelligence: Techniques and Applications, Springer, Berlin, Heidelberg, pp.\u00a01-37.","DOI":"10.1007\/978-3-642-35016-0_1"},{"issue":"6","key":"key2023113014264360600_ref007","article-title":"Artificial intelligence and human trust in healthcare: focus on clinicians","volume":"22","year":"2020","journal-title":"Journal of Medical Internet Research"},{"issue":"1","key":"key2023113014264360600_ref008","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1111\/nyas.14783","article-title":"Predictive models for human-AI nexus in group decision making","volume":"1514","year":"2022","journal-title":"Annals of the New York Academy of Sciences"},{"issue":"7-8","key":"key2023113014264360600_ref009","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1080\/08839514.2018.1428490","article-title":"A survey on the evolution of the notion of context-awareness","volume":"31","year":"2017","journal-title":"Applied Artificial Intelligence"},{"issue":"11","key":"key2023113014264360600_ref010","doi-asserted-by":"crossref","first-page":"1695","DOI":"10.1093\/jamia\/ocaa131","article-title":"Envisioning an artificial intelligence documentation assistant for future primary care consultations: a co-design study with general practitioners","volume":"27","year":"2020","journal-title":"Journal of the American Medical Informatics Association"},{"key":"key2023113014264360600_ref011","first-page":"265","article-title":"Transparent, scrutable and explainable user models for personalized recommendation","year":"2019"},{"issue":"6","key":"key2023113014264360600_ref012","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1109\/MCOM.2017.1601089","article-title":"Toward interconnected virtual reality: opportunities, challenges, and enablers","volume":"55","year":"2017","journal-title":"IEEE Communications Magazine"},{"key":"key2023113014264360600_ref013","first-page":"606","article-title":"A data fusion framework for context-aware mobile services","year":"2008"},{"issue":"6","key":"key2023113014264360600_ref014","first-page":"1065","article-title":"Artificial intelligence \u2013 challenges and opportunities for international HRM: a review and research agenda","volume":"33","year":"2022","journal-title":"The\u00a0International Journal of Human Resource Management"},{"issue":"2","key":"key2023113014264360600_ref015","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1002\/bdm.2155","article-title":"A systematic review of algorithm aversion in augmented decision making","volume":"33","year":"2020","journal-title":"Journal of Behavioral Decision Making"},{"issue":"1","key":"key2023113014264360600_ref016","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1007\/s13755-021-00138-8","article-title":"Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading","volume":"9","year":"2021","journal-title":"Health Information Science and Systems"},{"key":"key2023113014264360600_ref017","first-page":"1","article-title":"\u2018Hello AI\u2019: uncovering the onboarding needs of medical practitioners for human\u2013AI collaborative decision-making","year":"2019"},{"key":"key2023113014264360600_ref018","article-title":"AI and Ethics when human beings collaborate with AI Agents","volume":"13","year":"2022","journal-title":"Frontiers in Psychology"},{"issue":"10","key":"key2023113014264360600_ref019","doi-asserted-by":"crossref","first-page":"101404","DOI":"10.1115\/1.4046808","article-title":"Investigating a mixed-Initiative workflow for digital mind-Mapping","volume":"142","year":"2020","journal-title":"Journal of Mechanical Design"},{"issue":"3-4","key":"key2023113014264360600_ref020","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s11257-005-1269-8","article-title":"Exploring issues of user model transparency and proactive behaviour in an office environment control system","volume":"15","year":"2005","journal-title":"User Modelling and User-Adapted Interaction"},{"key":"key2023113014264360600_ref021","doi-asserted-by":"crossref","unstructured":"Coppola, P., Mea, V.D., Di Gaspero, L., Lomuscio, R., Mischis, D., Mizzaro, S., Nazzi, E., Scagnetto, I. and Vassena, L. (2009), \u201cAI techniques in a context-aware ubiquitous environment\u201d, in Hassanien, A.-E., Abawajy, J.H., Abraham, A. and Hagras, H. (Eds), Pervasive Computing, Springer, London, pp. 157-180.","DOI":"10.1007\/978-1-84882-599-4_8"},{"key":"key2023113014264360600_ref022","article-title":"AI-based mobile context-aware recommender systems from an information management perspective: progress and directions","volume":"215","year":"2021","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"key2023113014264360600_ref023","first-page":"97","article-title":"A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications","volume":"16","year":"2001","journal-title":"Human-Computer Interaction"},{"key":"key2023113014264360600_ref024","doi-asserted-by":"publisher","first-page":"1","DOI":"10.48550\/arXiv.1702.08608","article-title":"A roadmap for a rigorous science of interpretability","year":"2017","journal-title":"ArXiv Preprint ArXiv:1702.08608v1"},{"key":"key2023113014264360600_ref025","first-page":"1","article-title":"HACO: a framework for developing human-AI teaming","year":"2020"},{"key":"key2023113014264360600_ref026","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.jlamp.2018.11.003","article-title":"Designing context-aware systems: a method for understanding and analysing context in practice","volume":"103","year":"2019","journal-title":"Journal of Logical and Algebraic Methods in Programming"},{"issue":"2","key":"key2023113014264360600_ref027","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/MTS.2021.3056293","article-title":"Bias and discrimination in AI: a\u00a0cross-disciplinary perspective","volume":"40","year":"2021","journal-title":"IEEE Technology and Society Magazine"},{"key":"key2023113014264360600_ref028","first-page":"287","article-title":"Context-aware systems: the \u2018right\u2019 information, at the \u2018right\u2019 time, in the \u2018right\u2019 place, in the \u2018right\u2019 way, to the \u2018right\u2019 person","year":"2012"},{"issue":"3","key":"key2023113014264360600_ref029","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.25300\/MISQ\/2021\/16553","article-title":"Will humans-in-the-loop become borgs? Merits and pitfalls of working with AI","volume":"45","year":"2021","journal-title":"MIS Quarterly"},{"key":"key2023113014264360600_ref030","doi-asserted-by":"crossref","unstructured":"Grifoni, P., D'Ulizia, A. and Ferri, F. (2018), \u201cContext-awareness in location based services in the big data era\u201d, in Skourletopoulos, G. (Ed.), Mobile Big Data, Springer, Cham, Vol.\u00a010, pp.\u00a085-127.","DOI":"10.1007\/978-3-319-67925-9_5"},{"issue":"5\/6","key":"key2023113014264360600_ref031","first-page":"387","article-title":"RADAR: automated task planning for proactive decision support","volume":"35","year":"2020","journal-title":"Human-Computer Interaction"},{"key":"key2023113014264360600_ref032","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.inffus.2021.01.008","article-title":"Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI","volume":"71","year":"2021","journal-title":"Information Fusion"},{"issue":"4","key":"key2023113014264360600_ref033","doi-asserted-by":"crossref","first-page":"8509","DOI":"10.1016\/j.eswa.2008.10.071","article-title":"Context-aware systems: a literature review and classification","volume":"36","year":"2009","journal-title":"Expert Systems with Applications"},{"key":"key2023113014264360600_ref034","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1910.12544","article-title":"Human-AI Co-learning for data-driven AI","year":"2019","journal-title":"ArXiv Preprint ArXiv:1910.12544"},{"issue":"4","key":"key2023113014264360600_ref035","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.bushor.2018.03.007","article-title":"Artificial intelligence and the future of work: human-AI symbiosis in organizational decision making","volume":"61","year":"2018","journal-title":"Business Horizons"},{"issue":"1","key":"key2023113014264360600_ref036","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1109\/TVCG.2021.3114793","article-title":"Towards visual explainable active learning for zero-shot classification","volume":"28","year":"2022","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"key2023113014264360600_ref037","first-page":"273","article-title":"Artificial intelligence and concerns about the future: a case study in Norway","year":"2020"},{"issue":"2-3","key":"key2023113014264360600_ref038","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.cosrev.2012.04.002","article-title":"Contextual music information retrieval and recommendation: state of the art and challenges","volume":"6","year":"2012","journal-title":"Computer Science Review"},{"issue":"1","key":"key2023113014264360600_ref039","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.bushor.2018.08.004","article-title":"Siri, Siri, in my hand: who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence","volume":"62","year":"2019","journal-title":"Business Horizons"},{"key":"key2023113014264360600_ref040","first-page":"105","article-title":"Requirements for trustworthy artificial intelligence \u2013 a review","year":"2021"},{"issue":"1","key":"key2023113014264360600_ref041","article-title":"Human factors and technological characteristics influencing the interaction of medical professionals with artificial intelligence-enabled clinical decision support systems: literature review","volume":"9","year":"2022","journal-title":"JMIR Human Factors"},{"issue":"March","key":"key2023113014264360600_ref042","first-page":"1","article-title":"Human- versus artificial intelligence","volume":"4","year":"2021","journal-title":"Frontiers in Artificial Intelligence"},{"issue":"1","key":"key2023113014264360600_ref043","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1287\/orsc.2021.1549","article-title":"To engage or not to engage with AI for critical judgments: how professionals deal with opacity when using AI for medical diagnosis","volume":"33","year":"2022","journal-title":"Organization Science"},{"key":"key2023113014264360600_ref044","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1007\/s13347-017-0279-x","article-title":"Fair, transparent, and accountable Algorithmic decision-making processes","volume":"31","year":"2018","journal-title":"Philosophy and Technology"},{"key":"key2023113014264360600_ref045","first-page":"2119","article-title":"Why and why not explanations improve the intelligibility of context-aware intelligent systems","year":"2009"},{"issue":"3","key":"key2023113014264360600_ref046","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1177\/0266666914563358","article-title":"Examining the adoption and continuous usage of context-aware services: an empirical study on the use of an intelligent tourist guide","volume":"32","year":"2016","journal-title":"Information Development"},{"issue":"1","key":"key2023113014264360600_ref047","first-page":"1","article-title":"The human-AI scoring system: a new method for CT-based assessment of COVID-19 severity","volume":"30","year":"2022","journal-title":"Technology and Health Care"},{"issue":"1","key":"key2023113014264360600_ref048","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1177\/0022242920957347","article-title":"Artificial intelligence in utilitarian vs Hedonic contexts: the \u2018word-of-machine\u2019 effect","volume":"86","year":"2022","journal-title":"Journal of Marketing"},{"key":"key2023113014264360600_ref049","article-title":"Human-AI collaboration in route planning: an empirical efficiency-based analysis in retail logistics","volume":"241","year":"2021","journal-title":"International Journal of Production Economics"},{"issue":"1","key":"key2023113014264360600_ref050","first-page":"1","article-title":"A survey of context simulation for testing mobile context-aware applications","volume":"53","year":"2020","journal-title":"ACM Computing Surveys"},{"issue":"4","key":"key2023113014264360600_ref051","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.3390\/ijerph18042121","article-title":"A review on human-AI interaction in machine learning and insights for medical applications","volume":"18","year":"2021","journal-title":"International Journal of Environmental Research and Public Health"},{"key":"key2023113014264360600_ref052","unstructured":"Mcdermott, P., Dominguez, C., Kasdaglis, N., Ryan, M., Mitre, I.T. and Nelson, A. (2018), \u201cHuman-machine teaming systems engineering guide\u201d, MITRE Corporation, available at: https:\/\/www.mitre.org\/publications\/technical-papers\/human-machine-teaming-systems-engineering-guide"},{"issue":"1","key":"key2023113014264360600_ref053","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1080\/10864415.2021.1846854","article-title":"Trust and team performance in human\u2013autonomy teaming","volume":"25","year":"2021","journal-title":"International Journal of Electronic Commerce"},{"issue":"4","key":"key2023113014264360600_ref054","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1177\/0008125619862256","article-title":"Keeping humans in the loop: pooling knowledge through artificial swarm intelligence to improve business decision making","volume":"61","year":"2019","journal-title":"California Management Review"},{"issue":"1","key":"key2023113014264360600_ref055","first-page":"1","article-title":"AI: augmentation, more so than automation","volume":"5","year":"2018","journal-title":"Asian Management Insights"},{"issue":"1","key":"key2023113014264360600_ref056","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s12525-021-00496-x","article-title":"The rise of artificial intelligence \u2013 understanding the AI identity threat at the workplace","volume":"32","year":"2022","journal-title":"Electronic Markets"},{"issue":"3","key":"key2023113014264360600_ref057","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1609\/aimag.v40i3.4810","article-title":"Context-driven proactive decision support for hybrid teams","volume":"40","year":"2019","journal-title":"AI Magazine"},{"key":"key2023113014264360600_ref058","article-title":"Machine learning in the support of context-aware adaptation","year":"2012"},{"issue":"5","key":"key2023113014264360600_ref059","doi-asserted-by":"crossref","first-page":"1857","DOI":"10.1007\/s11280-021-00916-0","article-title":"Explainable recommendation: when design meets trust calibration","volume":"24","year":"2021","journal-title":"World Wide Web"},{"key":"key2023113014264360600_ref060","article-title":"Balancing performance and human Autonomy with Implicit guidance agent","volume":"4","year":"2021","journal-title":"Frontiers in Artificial Intelligence"},{"key":"key2023113014264360600_ref061","first-page":"1","article-title":"EveryBOTy counts: examining human-machine teams in open source software development","year":"2022","journal-title":"Topics in Cognitive Science"},{"key":"key2023113014264360600_ref062","first-page":"1","article-title":"I lead, you help but only with enough details: understanding the user experience of co-creation with artificial intelligence","year":"2018"},{"issue":"2","key":"key2023113014264360600_ref063","first-page":"1","article-title":"Adaptive trust calibration for human-AI collaboration","volume":"15","year":"2020","journal-title":"PLoS\u00a0ONE"},{"issue":"June 2020","key":"key2023113014264360600_ref064","article-title":"Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning","volume":"160","year":"2022","journal-title":"International Journal of Human Computer Studies"},{"issue":"1","key":"key2023113014264360600_ref065","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1287\/isre.2015.0610","article-title":"CARSs we trust: how context-aware recommendations affect customers\u2019 trust and other business performance measures of recommender systems","volume":"27","year":"2016","journal-title":"Information Systems Research"},{"issue":"1","key":"key2023113014264360600_ref066","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s00146-020-01005-y","article-title":"Hybrid collective intelligence in a human\u2013AI society","volume":"36","year":"2021","journal-title":"AI and Society"},{"issue":"1","key":"key2023113014264360600_ref067","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1109\/SURV.2013.042313.00197","article-title":"Context aware computing for the internet of things: a survey","volume":"16","year":"2014","journal-title":"IEEE Communications Surveys and Tutorials"},{"issue":"4\/5","key":"key2023113014264360600_ref068","first-page":"317","article-title":"Evaluating recommender systems from the user's perspective: survey of the state of the art","volume":"22","year":"2012","journal-title":"User Modeling and User-Adapted Interaction"},{"issue":"2","key":"key2023113014264360600_ref069","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s41469-021-00095-2","article-title":"Human\u2013AI collaborative decision-making as an organization design problem","volume":"10","year":"2021","journal-title":"Journal of Organization Design"},{"key":"key2023113014264360600_ref070","doi-asserted-by":"crossref","unstructured":"Pynadath, D.V., Barnes, M.J., Wang, N. and Chen, J.Y.C. (2018), \u201cTransparency communication for machine learning in human-automation interaction\u201d, in Zhou, J. and Chen, F. (Eds), Human and Machine Learning, Springer International Publishing, pp.\u00a075-90.","DOI":"10.1007\/978-3-319-90403-0_5"},{"issue":"1","key":"key2023113014264360600_ref071","first-page":"iii","article-title":"Editor's Comments: next-generation digital Platforms: toward human-AI hybrids","volume":"43","year":"2019","journal-title":"MIS Quarterly"},{"issue":"1","key":"key2023113014264360600_ref072","doi-asserted-by":"crossref","first-page":"192","DOI":"10.5465\/amr.2018.0072","article-title":"Artificial intelligence and management: the automation\u2013augmentation paradox","volume":"46","year":"2021","journal-title":"Academy of Management Review"},{"issue":"1","key":"key2023113014264360600_ref073","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1038\/s41591-021-01614-0","article-title":"AI in health and medicine","volume":"28","year":"2022","journal-title":"Nature Medicine"},{"issue":"8","key":"key2023113014264360600_ref074","article-title":"Trustworthy human-AI partnerships","volume":"24","year":"2021","journal-title":"IScience"},{"issue":"5-6","key":"key2023113014264360600_ref075","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1080\/07370024.2020.1735391","article-title":"Designing fair AI for managing employees in organizations: a review, critique, and design agenda","volume":"35","year":"2020","journal-title":"Human-Computer Interaction"},{"issue":"2","key":"key2023113014264360600_ref076","first-page":"1","article-title":"AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems","volume":"3","year":"2022","journal-title":"SN Computer Science"},{"issue":"4","key":"key2023113014264360600_ref077","doi-asserted-by":"crossref","first-page":"499","DOI":"10.3390\/sym12040499","article-title":"ContextPCA: predicting context-aware smartphone apps usage based on machine learning techniques","volume":"12","year":"2020","journal-title":"Symmetry"},{"key":"key2023113014264360600_ref078","article-title":"Design patterns for human-AI co-learning: a wizard-of-Oz evaluation in an urban-search-and-rescue task","volume":"164","year":"2022","journal-title":"International Journal of Human Computer Studies"},{"key":"key2023113014264360600_ref079","first-page":"235","article-title":"Context-aware recommendations in the mobile tourist application COMPASS","year":"2004"},{"issue":"3","key":"key2023113014264360600_ref080","doi-asserted-by":"crossref","first-page":"591","DOI":"10.17705\/1jais.00674","article-title":"Have we crossed the uncanny valley? Understanding affinity, trustworthiness, and preference for realistic digital humans in immersive environments","volume":"22","year":"2021","journal-title":"Journal of the Association for Information Systems"},{"issue":"1","key":"key2023113014264360600_ref081","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JIOT.2017.2773600","article-title":"Context-aware computing, learning, and big data in internet of things: a survey","volume":"5","year":"2018","journal-title":"IEEE Internet of Things Journal"},{"key":"key2023113014264360600_ref082","article-title":"The effects of explainability and causability on perception, trust, and acceptance: implications for explainable AI","volume":"146","year":"2021","journal-title":"International Journal of Human-Computer Studies"},{"issue":"4","key":"key2023113014264360600_ref083","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1177\/0008125619862257","article-title":"Organizational decision-making structures in the Age of artificial intelligence","volume":"61","year":"2019","journal-title":"California Management Review"},{"key":"key2023113014264360600_ref084","first-page":"1","article-title":"Let the computer evaluate your idea: evaluation apprehension in human-computer collaboration","year":"2022","journal-title":"Behaviour and Information Technology"},{"issue":"5","key":"key2023113014264360600_ref085","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1080\/01969722.2021.2018542","article-title":"Smart knowledge engineering for cognitive systems: a brief overview","volume":"53","year":"2022","journal-title":"Cybernetics and Systems"},{"key":"key2023113014264360600_ref086","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.jbusres.2020.11.038","article-title":"Cobots in knowledge work: human \u2013 AI collaboration in managerial professions","volume":"125","year":"2021","journal-title":"Journal of Business Research"},{"issue":"11","key":"key2023113014264360600_ref087","article-title":"Bayesian modeling of human-AI complementarity","volume":"119","year":"2022","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"1","key":"key2023113014264360600_ref088","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1109\/TVCG.2021.3114845","article-title":"GenNI: human-AI collaboration for data-backed Text generation","volume":"28","year":"2022","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"issue":"3","key":"key2023113014264360600_ref089","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.25300\/MISQ\/2021\/16543","article-title":"Coordinating human and machine learning for effective organizational learning","volume":"45","year":"2021","journal-title":"MIS Quarterly"},{"issue":"1","key":"key2023113014264360600_ref090","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1093\/jcmc\/zmz026","article-title":"Rise of machine agency: a framework for studying the Psychology of human\u2013AI interaction (HAII)","volume":"25","year":"2020","journal-title":"Journal of Computer-Mediated Communication"},{"key":"key2023113014264360600_ref091","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.jmsy.2018.04.019","article-title":"Patented intelligence: cloning human decision models for Industry 4.0","volume":"48","year":"2018","journal-title":"Journal of Manufacturing Systems"},{"key":"key2023113014264360600_ref092","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1007\/s10551-022-05050-z","article-title":"The dawn of the AI robots: towards a new framework of AI robot accountability","volume":"178","year":"2022","journal-title":"Journal of Business Ethics"},{"issue":"2","key":"key2023113014264360600_ref093","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3386243","article-title":"Context-aware recommendations based on deep learning frameworks","volume":"11","year":"2020","journal-title":"ACM Transactions on Management Information Systems"},{"issue":"3","key":"key2023113014264360600_ref094","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.25300\/MISQ\/2021\/16559","article-title":"When the machine meets the expert: an\u00a0ethnography of developing AI for hiring","volume":"45","year":"2021","journal-title":"MIS Quarterly"},{"key":"key2023113014264360600_ref095","article-title":"A systematic review of human-AI interaction in autonomous ship systems","volume":"152","year":"2022","journal-title":"Safety Science"},{"issue":"4","key":"key2023113014264360600_ref096","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/TLT.2012.11","article-title":"Context-aware recommender systems for learning: a survey and future challenges","volume":"5","year":"2012","journal-title":"Learning Technologies, IEEE Transactions On"},{"issue":"2","key":"key2023113014264360600_ref097","article-title":"How humans obtain information from AI: categorizing user messages in human-AI collaborative conversations","volume":"59","year":"2022","journal-title":"Information Processing and Management"},{"issue":"2","key":"key2023113014264360600_ref098","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/MIM.2020.9062691","article-title":"Future trends in I&M: human-machine co-creation in the rise of AI","volume":"23","year":"2020","journal-title":"IEEE\u00a0Instrumentation and Measurement Magazine"},{"key":"key2023113014264360600_ref099","first-page":"1","article-title":"Re-Examining whether, why, and how human-AI interaction is uniquely difficult to design","year":"2020"},{"issue":"5","key":"key2023113014264360600_ref100","doi-asserted-by":"crossref","first-page":"127","DOI":"10.3390\/bs12050127","article-title":"Artificial intelligence decision-making transparency and employees' trust: the\u00a0parallel multiple mediating effect of effectiveness and discomfort","volume":"12","year":"2022","journal-title":"Behavioral Sciences"},{"issue":"1","key":"key2023113014264360600_ref101","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/COMST.2014.2381246","article-title":"Context-awareness for mobile sensing: a survey and future directions","volume":"18","year":"2016","journal-title":"IEEE Communications Surveys and Tutorials"},{"issue":"4","key":"key2023113014264360600_ref102","article-title":"How transparency modulates trust in artificial intelligence","volume":"3","year":"2022","journal-title":"Patterns"}],"container-title":["Industrial Management & Data Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-03-2022-0152\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-03-2022-0152\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T14:27:33Z","timestamp":1701354453000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-03-2022-0152\/full\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,9]]},"references-count":102,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2022,12,9]]},"published-print":{"date-parts":[[2023,12,1]]}},"alternative-id":["10.1108\/IMDS-03-2022-0152"],"URL":"https:\/\/doi.org\/10.1108\/imds-03-2022-0152","relation":{},"ISSN":["0263-5577"],"issn-type":[{"value":"0263-5577","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12,9]]}}}