{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:42:25Z","timestamp":1778604145659,"version":"3.51.4"},"reference-count":62,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T00:00:00Z","timestamp":1663200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Deanship of Scientific Research at Majmaah University","award":["R-2022-281"],"award-info":[{"award-number":["R-2022-281"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Attention is a complex cognitive process with innate resource management and information selection capabilities for maintaining a certain level of functional awareness in socio-cognitive service agents. The human-machine society depends on creating illusionary believable behaviors. These behaviors include processing sensory information based on contextual adaptation and focusing on specific aspects. The cognitive processes based on selective attention help the agent to efficiently utilize its computational resources by scheduling its intellectual tasks, which are not limited to decision-making, goal planning, action selection, and execution of actions. This study reports ongoing work on developing a cognitive architectural framework, a Nature-inspired Humanoid Cognitive Computing Platform for Self-aware and Conscious Agents (NiHA). The NiHA comprises cognitive theories, frameworks, and applications within machine consciousness (MC) and artificial general intelligence (AGI). The paper is focused on top-down and bottom-up attention mechanisms for service agents as a step towards machine consciousness. This study evaluates the behavioral impact of psychophysical states on attention. The proposed agent attains almost 90% accuracy in attention generation. In social interaction, contextual-based working is important, and the agent attains 89% accuracy in its attention by adding and checking the effect of psychophysical states on parallel selective attention. The addition of the emotions to attention process produced more contextual-based responses.<\/jats:p>","DOI":"10.3390\/s22187002","type":"journal-article","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T01:35:10Z","timestamp":1663292110000},"page":"7002","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition"],"prefix":"10.3390","volume":"22","author":[{"given":"Asma","family":"Kanwal","sequence":"first","affiliation":[{"name":"School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan"},{"name":"Department of Computer Science, GCU Lahore, Lahore 54000, Pakistan"}]},{"given":"Sagheer","family":"Abbas","sequence":"additional","affiliation":[{"name":"School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0672-7924","authenticated-orcid":false,"given":"Taher M.","family":"Ghazal","sequence":"additional","affiliation":[{"name":"School of Information Technology, Skyline University College, University City Sharjah, Sharjah 1797, United Arab Emirates"},{"name":"Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia"}]},{"given":"Allah","family":"Ditta","sequence":"additional","affiliation":[{"name":"Department of Information Sciences, Division of Science and Technology, University of Education, Lahore 54000, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8445-7742","authenticated-orcid":false,"given":"Hani","family":"Alquhayz","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information, College of Science in Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9789-5231","authenticated-orcid":false,"given":"Muhammad Adnan","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Software, Gachon University, Seongnam 13120, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2600021","article-title":"Machine learning for social multiparty human-robot interaction","volume":"4","author":"Keizer","year":"2014","journal-title":"ACM Trans. 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